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GIS for Transport Infrastructure: Roads, Rail, Safety and Transit

Roads, railways, bus networks, junctions, airports and ports are all built and run at specific places, and their problems are spatial too: an alignment that cuts through a forest, a culvert nobody has inspected, a junction where crashes keep happening, a bus route that leaves a neighbourhood unserved. India now plans infrastructure on the geospatial PM GatiShakti platform, surveys national highways with laser-equipped vehicles and records crashes with exact GPS locations. GLOBEIR helps transport agencies, consultants and contractors turn that data into better alignments, evidence-based maintenance, safer roads and more reliable public transport, using GIS databases, field apps, analysis and WebGIS portals.

GIS MappingField ValidationData AnalysisLive TrackingWebGISGeo-Business IntelligenceRemote Sensing
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What the evidence shows

₹13.59 lakh crore[2]

Value of 293 infrastructure projects evaluated on PM GatiShakti

By August 2025 the platform held about 1,700 data layers from central ministries, States and UTs. Projects of this scale are now assessed on GIS data, so planners and consultants need GIS-ready inputs.

7 days[4]

Planning time for a stalled railway line using GatiShakti tools

The Taranga Hill–Ambaji–Abu Road line had stalled for lack of plot-level land data. With land-parcel layers and clearance tools, planning was completed in a week, and Railways planned about 400 projects in a year on the platform.

20,933 km[8]

National highways covered by NHAI Network Survey Vehicles

Surveys across 23 states use 3D lasers, 360° cameras and DGPS to detect cracks, potholes and patches, and are repeated every six months, producing condition data that asset GIS can turn into maintenance priorities.

Up to £130 million[14]

Yearly value of Transport for London's open data to London's economy

TfL's 80+ open feeds power 600+ apps used by 42% of Londoners, with passenger time savings worth £70–90 million a year, showing the return on mapped, open transit data.

Transport planning in India has become a geospatial exercise

PM GatiShakti, launched on 13 October 2021, brings infrastructure planning onto one geospatial platform. By August 2025 it held about 1,700 data layers from 57 central ministries and departments and 36 States and UTs, and had evaluated 293 infrastructure projects worth ₹13.59 lakh crore. National Highway alignments are now optimised with its GIS-based DPR module, and Indian Railways completed planning of a stalled new line in just 7 days using the platform's land-parcel and clearance tools.

Data on existing assets is also arriving in volume. NHAI is deploying Network Survey Vehicles with 3D lasers, 360° cameras and DGPS across 20,933 km in 23 states, repeating surveys every six months. The rural roads programme published GIS data covering more than 25 lakh km of rural roads, and Indian Railways has uploaded about 95% of its land plans to a Land Management Module. MoRTH's iRAD and its successor e-DAR record crashes with exact GPS locations, photos and video.

Operations are going real-time as well. Public service vehicles must carry location tracking devices and emergency buttons under CMVR Rule 125H, Indian Railways receives GPS feeds from about 6,500 locomotives, and Bengaluru's adaptive signal system ran at 169 junctions by April 2025. The gap for most agencies and their consultants is not data collection but turning these feeds into maps, priorities and decisions, while keeping location and crash data secure.

The challenges

Where productivity is lost today

01

Constraints found late in corridor planning

Alignment studies often start from scattered maps, so forests, eco-sensitive zones, settlements and land parcels surface only after design work has begun. That leads to redesign, clearance delays and cost overruns, and consultants without GIS-ready data struggle to work within GatiShakti-based review.

Solved by

02

Survey data that never becomes a maintenance plan

Road owners receive large volumes of pavement and inventory survey data, but without a link to chainage, assets and budgets it rarely drives decisions. Many state and district agencies still lack a current, geotagged inventory of signs, culverts, bridges and drains, so maintenance stays reactive and complaint-driven.

Solved by

03

Road-safety works chosen by judgement

Crash records exist, yet many authorities still pick road-safety works by local opinion rather than by where serious crashes cluster. Without before-and-after evaluation they also cannot show whether a junction redesign or speed measure actually worked.

Solved by

04

Bus networks without reliable maps or live information

Many city and state bus operators lack accurate stop and route maps, so coverage gaps and duplicated routes go unnoticed. Vehicles carry mandatory tracking devices, but the data is often not turned into operational dashboards or passenger information feeds.

Solved by

05

Railway land and assets held on paper

Railway land, track and station assets spread across thousands of kilometres, and records on paper plans make encroachment checks, maintenance and project planning slow. Contractors and consultants on railway works need this data in GIS form to plan and report progress.

Solved by

06

Congestion without spatial evidence

Traffic police and city agencies hold camera, signal, count and complaint data but rarely see it on one map by time of day. Without that view it is hard to justify which junctions should be upgraded first or to measure the effect of an intervention.

Solved by

07

Airport and port data that is slow to refresh

Airports need accurate terrain and obstacle data for safe procedures, and repeating manual surveys is slow and costly. Ports and coastal agencies receive large volumes of ship-tracking (AIS) data but often lack the GIS tools to analyse berth use, congestion and vessel traffic patterns.

Solved by

How GLOBEIR helps

Business needs and how we solve them

Each solution starts from a need Transport Infrastructure & Mobility faces today, then shows how GLOBEIR delivers it and what changes as a result.

01 · The business need

All National Highway projects are now planned in line with PM GatiShakti principles, using a GIS-based DPR module to optimise alignments around forests and eco-sensitive zones. Consultants, contractors and state agencies need GIS-ready alignment, land and constraint data to take part.[3]

GIS Mapping

Corridor and alignment analysis

GLOBEIR runs DEM-based terrain, slope and drainage analysis for corridor options and overlays constraints such as forests, water bodies, settlements and land parcels. Land-parcel and right-of-way data is digitised, with detailed micro-mapping where existing maps are too coarse. Alternative alignments are compared in maps and reports prepared for GatiShakti-style review and shared through a WebGIS portal.

  1. 1Agree corridor extent, design options and constraint layers with the client
  2. 2Build terrain, drainage and constraint overlays from DEMs, imagery and land records
  3. 3Compare alignment options on constraints, length and terrain
  4. 4Publish comparison maps and reports in a WebGIS portal for review

The result

Planning teams identify constraints before design and clearance costs are committed.

02 · The business need

NHAI is surveying 20,933 km of highways with laser-equipped Network Survey Vehicles and repeating the surveys every six months. Road owners and contractors need GIS systems that turn this volume of condition data into maintenance priorities.[8]

Field Validation

Road and rail asset inventory and condition surveys

Field teams capture geotagged inventories of signs, culverts, bridges, drains and other assets with photos and offline support in the My GLOBEIR app. Survey-vehicle outputs such as cracks, potholes and roughness are linked to the same asset register by chainage. Condition-based priority maps and work-order views then show where to spend limited maintenance budgets, and repair progress is tracked with photo evidence.

  1. 1Set up asset classes, condition codes and photo rules in the field app
  2. 2Capture or import the asset inventory and link it to chainage
  3. 3Integrate survey-vehicle condition data with the asset register
  4. 4Publish priority maps and track repair work orders to completion

The result

Maintenance is prioritised by evidence, with photo-verified proof of completed repairs.

03 · The business need

e-DAR, successor to MoRTH's iRAD, records the exact GPS location, photos and video of each crash. The value of that data is lost unless authorities analyse where crashes cluster and whether fixes work.[10]

Data Analysis

Crash hot-spot and blackspot analysis

GLOBEIR analyses crash locations, severity, time and road attributes to find clusters of serious crashes, shown as heat maps and a ranked blackspot register. Each site carries photos and suggested engineering checks for road-safety committees. Treated sites are then evaluated before and after the intervention to show which measures work, using de-identified crash data.

  1. 1Clean and geocode crash records and attach road attributes
  2. 2Run hot-spot analysis and rank blackspots by severity
  3. 3Maintain a blackspot register with site photos in WebGIS
  4. 4Evaluate treated sites before and after intervention

The result

Road-safety budgets go to the locations with the most serious crashes, with measurable results.

04 · The business need

Public service vehicles must carry a vehicle location tracking device and emergency buttons under CMVR Rule 125H, and passengers now expect live arrival information. Operators need a back-end that makes this tracking data useful for operations and safety.[15]

Live Tracking

Public transport mapping and live bus operations

GLOBEIR maps stops and routes, runs catchment and accessibility analysis, and prepares GTFS data for transit agencies. Live Tracking dashboards built on existing AIS-140 or GPS devices show bus location, headways, over-speed, route deviation and emergency-button alerts. Passenger information layers and open-data-ready feeds can be published through WebGIS, carrying vehicle positions only.

  1. 1Map stops, routes and catchments and prepare GTFS data
  2. 2Connect existing tracking devices to the Live Tracking dashboard
  3. 3Configure headway, deviation, over-speed and emergency alerts
  4. 4Publish passenger information layers and open feeds

The result

Operators get better network coverage, more reliable services and faster response to emergency alerts.

05 · The business need

Indian Railways has uploaded about 95% of its land plans to a Land Management Module and plans to place all assets on the IR-Geo Portal. Contractors and consultants on railway projects need land and asset data in GIS form to plan works and report progress.[17]

WebGIS

Railway land and asset GIS

GLOBEIR digitises land plans, track and station assets into a GIS database compatible with portals such as IR-Geo. Corridor, yard and station-area maps support engineering and land teams, and geotagged inspection and progress records are captured through the My GLOBEIR app. WebGIS dashboards give zones and divisions role-based access to land boundaries, assets and works progress.

  1. 1Scan, georeference and digitise land plans and asset records
  2. 2Structure the data in a GIS database aligned to IR-Geo formats
  3. 3Capture geotagged inspections and works progress in the field
  4. 4Publish role-based dashboards for zones, divisions and project teams

The result

Engineering and land teams find asset and boundary information faster and protect railway land better.

06 · The business need

Cities are moving to adaptive signal control; Bengaluru's system ran at 169 junctions by April 2025 with GPS-based priority for emergency vehicles. Agencies need spatial evidence to decide which junctions to upgrade next and to measure the effect.[19]

Geo-Business Intelligence

Traffic congestion and junction prioritisation

Junctions and corridors are mapped with traffic counts, signal locations and incident data on one GIS base. Congestion and incident heat maps by time of day show where delays build and help rank junctions for upgrade or adaptive control. The views can be integrated with command-centre dashboards and used to measure interventions before and after, using counts and aggregated flows rather than individual vehicle identities.

  1. 1Compile junction, signal, count and incident data on one map
  2. 2Build time-of-day congestion and incident heat maps
  3. 3Rank junctions and corridors for upgrade
  4. 4Integrate dashboards with the command centre and track results

The result

Cities invest in the junctions and corridors where improvement will matter most, and can show the result.

07 · The business need

AAI has deployed a satellite-based platform for electronic terrain and obstacle data at five airports, showing that faster, repeatable obstacle updates are possible. Ports face similar pressure as AIS data volumes grow and Sagarmala projects need consistent spatial monitoring.[20]

Remote Sensing

Airport obstacle mapping and port traffic analysis

GLOBEIR prepares terrain and obstacle mapping around airports from DEMs and imagery, with aerodrome GIS layers for planning. For ports, AIS feeds are analysed into vessel density and dwell-time heat maps that show berth use and channel congestion. Coastal and port projects can be monitored with geotagged progress evidence, within the access that clients and authorities permit.

  1. 1Agree the study area, sensitive attributes and access permissions
  2. 2Build terrain and obstacle layers from DEMs and imagery, or ingest AIS feeds
  3. 3Produce obstacle maps or vessel density and dwell-time analysis
  4. 4Deliver layers and dashboards, on-premise where security requires

The result

Airport and port planners get repeatable terrain, obstacle and vessel-traffic evidence for investment decisions.

In depth

Problem, solution, benefits and data security, topic by topic

Each topic below explains the evidence, the business problem it creates, how GLOBEIR solves it, the benefits to your organisation, and how your data stays private and secure.

  1. 1. Network Planning and Alignment
  2. 2. Road Asset Management
  3. 3. Road Safety: Geotagged Crash Data
  4. 4. Public Transport
  5. 5. Railways
  6. 6. Traffic Management
  7. 7. Aviation and Maritime

1. Network Planning and Alignment

  • PM GatiShakti National Master Plan. Launched on 13 October 2021 as a multimodal connectivity platform using geospatial technology and a whole-of-government approach [1]. By August 2025 it held about 1,700 data layers from 57 central ministries/departments and 36 States/UTs, and had evaluated 293 infrastructure projects worth ₹13.59 lakh crore [2].
  • Highways. All National Highway projects are planned in line with GatiShakti principles; its GIS-based DPR module helps optimise alignments while taking account of forests, eco-sensitive zones and other features, reducing ecological impact and clearance requirements [3].
  • Railways. The Taranga Hill–Ambaji–Abu Road new line had stalled for lack of plot-level land data. Using land-parcel layers and the clearance and cost-estimation tools on the platform, project planning was completed in just 7 days, and Railways planned about 400 projects in a year using the platform [4].
  • Rural roads (PMGSY). In February 2022 the Ministry of Rural Development released PMGSY GIS data covering 8 lakh+ rural facilities, 10 lakh+ habitations and 25 lakh+ km of rural roads. The programme is managed through GIS-enabled systems such as OMMAS, GeoSadak, eMARG and Meri Sadak [5].

Business problem

  • Alignment studies still often start from scattered maps, so forests, eco-sensitive zones, settlements and land parcels are discovered late, causing redesign, clearance delays and cost overruns.
  • Projects can stall for lack of plot-level land data, as the Taranga Hill–Ambaji–Abu Road line did before it moved onto the GatiShakti platform [4].
  • Consultants, contractors and state agencies that cannot supply GIS-ready data struggle to take part in GatiShakti-based planning, which now spans about 1,700 data layers [2].

Our solution

  • DEM-based terrain, slope and drainage analysis for corridor options, with constraint overlays (forests, water bodies, settlements, land parcels).
  • Alignment comparison maps and reports in formats ready for GatiShakti-style review, published through a WebGIS portal.
  • Digitisation of land-parcel and right-of-way data, and digital micro-mapping of corridors where existing maps are too coarse.

Benefits

  • Constraints identified early, before design and clearance costs are committed.
  • Faster planning; Railways completed planning of a stalled new line in 7 days using GatiShakti land and clearance tools (industry example) [4].
  • Alignments that reduce ecological impact and clearance needs, as NHAI's GIS-based DPR module aims to do (industry example) [3].
  • GIS-ready deliverables that fit national planning platforms.

Privacy & data security

  • Data involved: high-resolution terrain, land-parcel and ownership details, and corridor surveys, some of which may identify landowners.
  • Indian storage and processing: DST Guidelines require geospatial data finer than the threshold (1 m horizontal, 3 m vertical) to be created and owned by Indian entities and stored and processed in India [6], and never to reach servers of a non-Indian entity [7]. GLOBEIR hosts on infrastructure in India or on the client's own servers.
  • Need-to-know access: landowner details can be masked, with role-based access and audit logs for project teams.

2. Road Asset Management

NHAI is deploying Network Survey Vehicles across 20,933 km in 23 states. They carry 3D laser systems, 360° cameras, DGPS and inertial sensors that automatically detect cracks, potholes and patches. The data is uploaded to NHAI's AI-based Data Lake and kept in a Road Asset Management System, with surveys repeated every six months [8].

Business problem

  • Road owners and contractors receive large volumes of survey data, but without a GIS link to chainage, assets and budgets it rarely becomes a maintenance plan.
  • Maintenance is often reactive: potholes and failing culverts are fixed after complaints, at higher cost.
  • Many state and district road agencies lack a current, geotagged inventory of signs, culverts, bridges and drains.

Our solution

  • Geotagged road and rail asset inventories and condition surveys through the My GLOBEIR app, with photos and offline capture.
  • Integration of survey-vehicle outputs (cracks, potholes, roughness) with the asset register on one map.
  • Condition-based prioritisation maps and work-order views in a WebGIS portal, plus Administration Monitoring of repair progress.

Benefits

  • Maintenance prioritised by evidence rather than complaints.
  • A current asset register that can be refreshed with every survey cycle; NHAI repeats its surveys every six months (industry example) [8].
  • Photo-verified proof of completed repairs for audits and contractor payments.
  • Better use of limited maintenance budgets.

Privacy & data security

  • Data involved: road imagery that may capture people and vehicle number plates, and the location of field surveyors.
  • Minimise and mask: imagery used for asset analysis can be masked where people or plates are visible, and only asset attributes are published to wider users.
  • Indian entities and storage: DST Guidelines reserve terrestrial mobile mapping and street-view surveys for Indian entities and require fine-resolution data to be stored and processed in India [6]; GLOBEIR keeps such data on infrastructure in India or the client's servers.
  • Encryption and access control: TLS 1.2 or higher in transit, AES-256 at rest, and role-based access with audit logs.

3. Road Safety: Geotagged Crash Data

MoRTH's Integrated Road Accident Database (iRAD), built with IIT Madras and NICSI, lets police, transport and health staff record crash data on the spot with mobile phones to identify causes and engineering fixes [9]. Its successor e-DAR, described as India's first national road-accident database, records the exact GPS location, photos and video at the scene [10]. This makes spatial analysis of crash clusters and blackspot identification possible at national scale.

Business problem

  • Crash records exist, but many authorities still choose road-safety works by local judgement rather than by spatial analysis of where crashes cluster.
  • Without before-and-after evaluation, agencies cannot show whether a junction redesign or speed measure actually reduced crashes.
  • e-DAR now records the exact GPS location of crashes [10]; the value is lost if no one analyses the data.

Our solution

  • Crash hot-spot and blackspot analysis using crash locations, severity and road attributes, visualised as heat maps.
  • A prioritised blackspot register with site photos and suggested engineering checks, maintained in a WebGIS portal.
  • Before-and-after evaluation of treated sites to measure the effect of interventions.

Benefits

  • Road-safety budgets directed to the locations with the most serious crashes.
  • Objective, defensible prioritisation for road-safety committees.
  • Measurable results that show which treatments work.
  • Faster on-site recording is possible when crash data is digital, as iRAD and e-DAR show (industry example) [9][10].

Privacy & data security

  • Data involved: crash records can include victim and driver details, vehicle numbers, photos and videos, all of which are highly sensitive personal data under the DPDP Act [11].
  • Analysis without identities: blackspot analysis needs only location, time, severity and road attributes, so GLOBEIR works on de-identified or aggregated crash data.
  • Restricted access: role-based access and audit logs keep any identifiable records visible only to authorised officers.
  • Incident readiness: audit logs support the client's obligation to report cyber incidents to CERT-In within 6 hours [12].

4. Public Transport

  • Delhi Open Transit Data. Launched in November 2018, it made Delhi the first Indian city to open up bus transit data, including stop coordinates, routes, timetables and real-time GPS feeds every 10 seconds for about 1,700 buses [13].
  • Transport for London open data. A Deloitte study found TfL's open data adds up to £130 million a year to London's economy. TfL publishes 80+ feeds used by 13,000+ developers, powering 600+ apps used by 42% of Londoners. Passenger time savings alone are worth £70–90 million a year [14].
  • Live bus tracking (AVL) in London (iBus) and AIS-140 tracking for Indian public service vehicles are covered on the Tracking, Monitoring & Field Validation page.

Business problem

  • Many city and state bus operators lack accurate stop and route maps, so coverage gaps and duplicated routes go unnoticed.
  • Passengers expect live arrival information, but tracking data is often not turned into usable feeds or apps [13][14].
  • Public service vehicles must carry a location tracking device and emergency buttons under CMVR Rule 125H [15], and operators need a back-end that makes this data useful for operations and passenger safety.

Our solution

  • Stop and route mapping, catchment and accessibility analysis, and GTFS preparation for transit agencies.
  • Live Tracking dashboards using existing AIS-140 or GPS devices for bus location, headway, over-speed, route deviation and emergency-button alerts.
  • Passenger information layers and open-data-ready feeds published through WebGIS.

Benefits

  • Better network coverage with fewer gaps and overlaps.
  • More reliable services and passenger information; TfL's open data adds up to £130 million a year to London's economy, with passenger time savings worth £70–90 million a year (industry example) [14].
  • Faster response to emergencies through emergency-button alerts on the control-room map.
  • Support for Rule 125H tracking compliance [15].

Privacy & data security

  • Data involved: live bus positions, driver and conductor duty data and, where emergency buttons are used, details of incidents involving passengers.
  • Vehicle data, not people profiles: tracking is tied to the vehicle and its duty, and published passenger feeds carry vehicle positions only, never driver identities.
  • Role-based visibility: depot, operations and management users see only the routes and vehicles they are responsible for, with audit logs.
  • Logs and incident reporting: CERT-In Directions require logs of ICT systems for a rolling 180 days within India and reporting of listed cyber incidents within 6 hours [12].

5. Railways

  • RTIS (Real-Time Train Information System), developed with ISRO, was installed on 2,700 locomotives, with mid-section updates every 30 seconds. GPS feeds from about 6,500 locomotives drive automatic train charting and real-time passenger information [16].
  • Land and asset GIS: Railways built a Land Management Module in its Track Management System with about 95% of land plans uploaded, and plans to place all assets on the IR-Geo Portal [17].

Business problem

  • Railway land, track and station assets are spread over thousands of kilometres, and records held on paper plans make encroachment, maintenance and project planning slow.
  • Contractors and consultants on railway projects need asset and land data in GIS form to plan works and report progress.
  • Live train positions now come from GPS feeds on about 6,500 locomotives [16], but zones and divisions need tools to analyse this data for punctuality and capacity.

Our solution

  • Digitisation of land plans, track and station assets into a GIS database compatible with portals such as IR-Geo.
  • Geotagged asset inspection and project progress capture using the My GLOBEIR app.
  • Corridor, yard and station-area mapping, with WebGIS dashboards for engineering and land teams.

Benefits

  • Faster access to land and asset information for planning and maintenance.
  • Better protection of railway land through accurate, mapped boundaries.
  • Photo-verified progress reporting on works.
  • Automatic, frequent position updates instead of manual reporting; RTIS gives mid-section updates every 30 seconds (industry example) [16].

Privacy & data security

  • Data involved: railway land and infrastructure data, which may be sensitive, and the locations of inspection staff.
  • Indian storage and on-premise option: fine-resolution mapping data is stored and processed in India as DST Guidelines require [6]; on-premise or MeitY-empanelled government cloud deployment is available for government clients.
  • Controlled access: role-based access by zone, division and function, with audit logs of all changes.

6. Traffic Management

  • Singapore LTA. The GLIDE system controls all traffic signals in Singapore, adjusting green time from loop detectors and linking nearby junctions into "green waves". It is supported by about 1,100 traffic cameras and an expressway incident-management system [18].
  • Bengaluru Adaptive Traffic Control. Launched in March 2024 and running at 169 junctions by April 2025, with GPS-based priority for emergency vehicles [19].

Business problem

  • Fixed-time signals and unmapped bottlenecks cause congestion, wasted fuel and delayed emergency vehicles.
  • Traffic police and city agencies have camera, signal and complaint data, but often no single map that shows where and when congestion builds.
  • Without spatial evidence, it is hard to justify which junctions should be upgraded first.

Our solution

  • Junction and corridor mapping with traffic counts, signal locations and incident data on one GIS base.
  • Congestion and incident heat maps by time of day to prioritise junction upgrades.
  • Integration with command-centre dashboards through WebGIS and Administration Monitoring.

Benefits

  • Evidence-based prioritisation of junction and signal investment.
  • Clear before-and-after measurement of traffic interventions.
  • Support for adaptive control and emergency-vehicle priority, as Bengaluru runs at 169 junctions (industry example) [19].
  • Network-wide control is possible when signals and cameras are linked, as Singapore's GLIDE system shows (industry example) [18].

Privacy & data security

  • Data involved: camera feeds and number-plate data can identify individuals and their movements.
  • Aggregate first: congestion and junction analysis uses counts, speeds and aggregated flows; individual vehicle identities are not needed.
  • Strict access and logging: any identifiable data stays within the client's systems under role-based access and audit logs, with encryption in transit and at rest.

7. Aviation and Maritime

  • Aviation obstacle data (eTOD). Under the Airports Authority of India's start-up initiative, a satellite-based platform produces electronic terrain and obstacle data, aerodrome GIS maps and electronic charts. It is deployed at five AAI airports: Chennai, Kolkata, Imphal, Calicut and Trichy [20].
  • Ship tracking (AIS). AIS is mandatory under SOLAS for ships of 300 GT and above on international voyages and for all passenger ships, and automatically broadcasts position and identity [21]. It is the core input for vessel-traffic, port-congestion and maritime-domain GIS.
  • Sagarmala. Launched in 2015 along India's 7,500 km coastline and 14,500 km of potentially navigable waterways, with 839 projects worth ₹5.79 lakh crore. PIB reports 118% growth in coastal shipping over a decade [22].

Business problem

  • Airports need accurate terrain and obstacle data for safe procedures, and manual surveys are slow and costly to repeat [20].
  • Ports and coastal agencies receive large volumes of AIS data [21] but often lack GIS tools to analyse berth use, congestion and vessel traffic patterns.
  • Sagarmala's 839 projects along a 7,500 km coastline [22] need consistent spatial planning and progress monitoring.

Our solution

  • Terrain and obstacle mapping around airports from DEMs and imagery, with aerodrome GIS layers for planning.
  • Vessel-traffic and port-congestion analysis from AIS feeds, shown as density and dwell-time heat maps.
  • Coastal and port project monitoring with geotagged progress evidence through Administration Monitoring.

Benefits

  • Faster, repeatable obstacle and terrain updates for airport planning; AAI's satellite-based eTOD platform is deployed at five airports (industry example) [20].
  • Clear evidence of port and channel congestion to guide investment.
  • A single view of coastal project progress for programme managers.

Privacy & data security

  • Data involved: airport surroundings and port infrastructure data, which can be security-sensitive.
  • Sensitive attributes and restricted areas: DST Guidelines provide for a negative list of sensitive attributes and give no right of access to restricted premises [6]; GLOBEIR works only within what clients and authorities permit.
  • Secure deployment: on-premise and air-gapped / offline deployments are available for high-security users, along with NDAs.

How a project runs

From first data to daily decisions

  1. 1

    Scope

    GLOBEIR and the client agree the network, assets and decisions in focus, such as a highway corridor, a district road network, a bus depot or a junction programme, along with data access, hosting and security requirements.

  2. 2

    Build the data

    The network and assets are digitised into a transport GIS database in open standard formats, and existing tracking, crash, survey-vehicle and land data is cleaned, geocoded and linked to it.

  3. 3

    Pilot

    The approach is tested on one corridor, depot, district or fleet, with field apps, analysis and dashboards refined with feedback from engineers, planners and operations staff.

  4. 4

    Analyse and publish

    Alignment comparisons, maintenance priorities, blackspot registers, congestion maps or transit analysis are produced and published through a WebGIS portal for the teams that act on them.

  5. 5

    Scale and integrate

    The setup is rolled out network-wide and connected to the client's operations, maintenance and command-centre systems.

  6. 6

    Improve continuously

    Periodic re-surveys, model updates and performance reviews keep the data current and measure results against the baseline set at the start.

Data we work with

  • PM GatiShakti and PMGSY GIS layers

    National infrastructure and rural road layers, including PMGSY data on 25 lakh+ km of rural roads, provide the planning base where access is permitted.

  • Survey-vehicle and asset condition data

    Pavement distress, roughness and inventory outputs from network survey vehicles and the client's own asset records.

  • iRAD / e-DAR crash records

    Geotagged crash location, severity and time, used in de-identified form for hot-spot and blackspot analysis.

  • Vehicle tracking and transit data

    AIS-140 and GPS feeds, stop and route records, and timetables for public transport analysis and live operations.

  • Digital elevation models and satellite imagery

    Terrain, drainage, land cover and obstacle information for corridor and airport studies.

  • Land records and railway land plans

    Land-parcel, right-of-way and railway land plan data, digitised and georeferenced for planning and boundary protection.

  • Traffic counts, signals and AIS ship data

    Junction counts, signal and incident logs for traffic analysis, and AIS vessel positions for port and channel studies.

KPIs you can track

  • Time to prepare a corridor or alignment study
  • Share of the network with current condition data
  • Share of maintenance spend directed by condition-based priorities
  • Reduction in serious crashes at treated blackspots
  • On-time performance and passenger information accuracy for transit clients
  • Delay reduction at upgraded junctions, measured before and after
  • Share of railway land and assets digitised and mapped

Privacy & data security

How we keep your data private and secure

Transport data shows where people and vehicles go. A driver's trail reveals working hours and routines, crash records hold details of victims, cameras capture number plates, and high-resolution corridor and port data can be security-sensitive. GLOBEIR designs transport GIS so that tracking is transparent, limited to work purposes and visible only to those who need it, and so that sensitive mapping data stays in India.

Regulations we design for

  • Digital Personal Data Protection Act 2023: location traces, geotagged photos and customer records about an identifiable individual are personal data (s.2(t)); consent must be free, specific, informed, unconditional, unambiguous and limited to the data needed for the purpose (s.5, s.6); the organisation remains responsible for its processors (s.8) [11].
  • DPDP Rules 2025: notified 13 November 2025 with phased commencement; security, breach notification and rights provisions apply after 18 months (around May 2027). Breaches must be notified to the Data Protection Board, with a detailed report within 72 hours [23].
  • CERT-In Directions (28 April 2022): report listed cyber incidents, including data breaches and unauthorised access, to CERT-In within 6 hours, and keep logs of ICT systems for a rolling 180 days within Indian jurisdiction [12].
  • CMVR Rule 125H: public service vehicles must have a vehicle location tracking device and emergency buttons; mandatory for vehicles registered after 1 January 2019, with older vehicles as notified by States/UTs [15].
  • DST Guidelines on Geospatial Data (2021): finer-than-threshold data must be created and owned by Indian entities and stored and processed in India; terrestrial mobile mapping and street-view surveys are reserved for Indian entities [6]. A 2022 DST clarification adds that such data must never reach servers of any non-Indian entity [7].
  • MeitY GI Cloud (MeghRaj) guidelines: advisory procurement guidelines for government cloud, requiring all data processing within India [24].

How GLOBEIR protects your data

Safeguard How it works
Opt-in driver and staff tracking Background tracking in the My GLOBEIR app is optional and opt-in, with a persistent notification while it runs
Work-purpose limitation Location is captured for work purposes; client data is used only for the agreed purpose and never sold, shared or used to train models for other clients
Role-based visibility Separate roles for field, supervisor, depot/region and head office users, with audit logs of access and changes
Encryption TLS 1.2 or higher in transit and AES-256 at rest
Hosting in India ISO 27001 / SOC 2-certified cloud infrastructure in India
Deployment choice GLOBEIR-managed India-hosted cloud, client's own cloud or data centre, MeitY-empanelled government cloud, on-premise, or air-gapped for high-security sites
Data minimisation Blackspot, congestion and network analysis run on masked, pseudonymised or aggregated data
Retention and deletion Data exported and deleted at the end of the engagement or on request; account deletion requests completed within 30 days

Your data, your control

  • You own your data: network, asset, crash, tracking and survey data remain yours.
  • Your data is used only for the agreed purpose, and GLOBEIR's design helps you meet your DPDP Act obligations.
  • Choose your deployment: India-hosted cloud, your own cloud or data centre, MeitY-empanelled government cloud for government clients, on-premise, or air-gapped where security requires.
  • At the end of the engagement, your data is exported to you and deleted from GLOBEIR systems.
  • GLOBEIR will sign an NDA, follow your information-security policies and support your security audits and vendor assessments.
  • Privacy questions: privacy@globeir.com.

Frequently asked questions

Can GLOBEIR prepare data for PM GatiShakti-based project planning?

GLOBEIR prepares terrain, drainage, constraint and land-parcel analysis and alignment comparison maps in GIS-ready formats suited to GatiShakti-style review. Access to the GatiShakti platform itself is controlled by the government, so GLOBEIR works with the data and permissions the client holds.

How does GIS help with road asset management?

Each asset, such as a sign, culvert, bridge or drain, is recorded with its location, photos and condition, and survey-vehicle outputs are linked to the same register by chainage. Priority maps then show where maintenance is most needed, and repair progress is tracked with photo evidence for audits and contractor payments.

How are accident blackspots identified?

Crash records with locations, severity and time, such as those from iRAD and e-DAR, are analysed to find locations where serious crashes cluster. Sites are ranked in a blackspot register, and treated sites are evaluated before and after the fix to show what works.

Does GLOBEIR also handle fleet tracking and freight routing?

Yes, but that is covered in a separate guide on logistics and fleet management. This page focuses on infrastructure owners, transit agencies, and traffic, airport and port authorities.

Can GLOBEIR use the tracking devices our buses already carry?

Live Tracking dashboards are designed to work with existing AIS-140 or GPS devices that public service vehicles carry under CMVR Rule 125H, showing location, headways, route deviation and emergency-button alerts. Device compatibility is confirmed during scoping.

How is transport and location data kept private and secure?

Data is encrypted with TLS 1.2 or higher in transit and AES-256 at rest, and hosted on ISO 27001 / SOC 2-certified infrastructure in India (the certification belongs to the infrastructure provider, not GLOBEIR), or deployed in the client's own cloud, data centre, MeitY-empanelled government cloud, on-premise or air-gapped where security requires. Access is role-based with audit logs, app-based tracking is opt-in, and blackspot and congestion analysis runs on de-identified or aggregated data. Data is used only for the agreed purpose and deleted on request, and GLOBEIR signs NDAs. This design supports the DPDP Act 2023 and DPDP Rules 2025, CERT-In Directions, the DST Guidelines on Geospatial Data and MeitY's GI Cloud guidelines. Privacy questions can go to privacy@globeir.com.

Learn the methods behind this

Network Analysis and Routing in GISTerrain AnalysisDEM, DTM and DSMMobile Mapping SystemsSpatial Statistics and Hotspot AnalysisWhat is Web GIS? Maps as Living Software

Sources

  1. [1]PM GatiShakti NMP completes 3 years · PIB, 2024
  2. [2]PM GatiShakti NMP evaluates 293 infrastructure projects worth ₹13.59 lakh crore · PIB, 2025
  3. [3]PM GatiShakti National Master Plan · PIB, 2025
  4. [4]PM GatiShakti: Transforming India's Infrastructure · PIB, 2023
  5. [5]Rural connectivity GIS data released in public domain · PIB, 2022
  6. [6]Guidelines on Geospatial Data · DST, 2021
  7. [7]Office Memorandum dated 28 November 2022 · DST, 2022
  8. [8]NHAI to deploy Network Survey Vehicles for over 20,000 km · PIB, 2025
  9. [9]MoRTH orientation and training programme of iRAD app · PIB, 2020
  10. [10]e-DAR / iRAD · IIT Madras CoERS
  11. [11]Digital Personal Data Protection Act, 2023 · MeitY, 2023
  12. [12]Directions under section 70B(6) of the IT Act · CERT-In, 2022
  13. [13]Delhi government launches Open Transit Data portal · Business Standard / PTI, 2018
  14. [14]TfL open data adds £130 million to London economy · UKAuthority, 2017
  15. [15]PIB press release on CMVR Rule 125H (vehicle location tracking and emergency buttons in public service vehicles) · —
  16. [16]Indian Railways using newer technologies for tracking of trains · PIB, 2022
  17. [17]Digital data of land, Ministry of Railways · PIB, 2022
  18. [18]Intelligent Transport Systems · Land Transport Authority Singapore
  19. [19]Case study of the Bengaluru Adaptive Traffic Control System · Indian Infrastructure, 2026
  20. [20]AAI Startup Initiative · Airports Authority of India
  21. [21]AIS transponders · IMO
  22. [22]Sagarmala Programme powering India's maritime revolution · PIB, 2025
  23. [23]Digital Personal Data Protection Rules, 2025 · MeitY, 2025
  24. [24]GI Cloud (MeghRaj) cloud services procurement guidelines · MeitY

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