Video analytics for transport and urban mobility

A unified AI platform for roads, parking, public transport, taxis, freight routes and dispatch centers: plates, flows, incidents, passengers, search and notifications.

ALPR

license plates, search and route archive

Traffic

speed, density, congestion, lanes and junctions

Incidents

accidents, stops, wrong-way driving and violations

Passengers

boarding, alighting, queues and vehicle load

Dispatch

events, maps, routes and asset statuses

Network

city, fleet, depot, parking and transport hubs

transport tasks

What must be visible in a transport network

Transport infrastructure consists of different zones: roads, junctions, stops, depots, parking areas, entrances, dedicated lanes and routes. Each zone needs its own events, metrics and response rules.

Flow and congestion

Traffic density, speed, overloaded lanes, congestion, peak hours and bottlenecks.

Incidents and violations

Accidents, danger-zone stops, wrong-way driving, lane blockage and risky maneuvers.

Vehicle search

Plate, color, body type, direction, time, zone, route and movement archive.

Passenger flow

Boarding, alighting, stop queues, cabin load and peak periods.

Fleet and routes

Buses, taxis, service and freight vehicles, schedules and movement control.

Fragmented data

Cameras, events, archives, telematics and reports should be collected in one layer.

core modules

AI modules for transport

Modules can be enabled step by step: plates and incidents first, then passenger flow, public transport, freight routes and a unified control center.

License plate recognition on the road

License plate recognition

Plates, region, direction, camera, timestamp and archive linkage.

Vehicle search in dispatch interface

Vehicle search

Search by plate, color, body type, similar attributes, zone, time and route.

Traffic flow analytics

Traffic flow

Speed, density, congestion, lanes, junctions, stops and load dynamics.

Road incident detection

Accidents and violations

Danger-zone stops, wrong-way driving, lane blockage, accidents and risky maneuvers.

Passenger flow at a stop

Passenger flow

Boarding, alighting, queues, people density, stop and vehicle load.

Public transport monitoring

Public transport

Buses, dedicated lanes, stops, intervals, route events and load.

Taxi and city transport

Taxi and car sharing

Pick-up zones, long stops, overloaded access roads, violations and disputes.

Rail analytics

Trains and trams

Platforms, doors, boarding, alighting, passenger flow and line events.

Freight transport checkpoint

Freight transport

Entrances, exits, unloading, waiting zones, freight routes and vehicle control.

Driver and vehicle safety

Drivers and safety

Risky maneuvers, stops, behavior near vehicles, movement-zone events and disputes.

Parking violations

Parking areas

Space occupancy, violations, blocked lanes, entry/exit and vehicle search.

Road infrastructure

Road infrastructure

Lanes, junctions, stops, crossings, danger zones and road network condition.

operational effect

What the dispatch center gets

The system turns video streams into events, metrics and evidence frames for operational response and reporting.

1+ cameras

start with one zone, junction, entrance, depot or stop

routes

search and events can be linked to zones, directions and routes

events

operators receive notifications, frames and event types instead of the whole video stream

vehicles

search by plate, type, color, zone and time

key scenarios

Transport video analytics scenarios

This page is about vehicles, roads, routes, passenger flow and network movement, not airports or railway stations.

Vehicle recognition and search
recognition and search

Vehicle search by plate and visual attributes

The system links plate number, vehicle type, color, direction, camera and time. It helps find a vehicle in the archive and reconstruct its route.

Investigations can use not only an exact plate, but similar attributes: color, body type, zone, time interval and travel direction.

  • plate recognition;
  • archive search;
  • route and capture points;
  • frame and event export.
ALPRArchiveRouteSearch
Traffic analytics
traffic flow

Traffic, speed, congestion and junctions

Cameras become road sensors: they count vehicles and estimate speed, density and lane load.

The data shows overloaded sections, peak hours, closure effects and problem points on routes.

  • speed and flow density;
  • congestion and overloaded lanes;
  • junctions and dedicated lanes;
  • period and zone comparison.
FlowSpeedCongestionLanes
Road incidents and violations
incidents

Accidents, violations and risky events

The system detects danger-zone stops, lane blockage, wrong-way driving, abrupt trajectory changes and accidents.

The operator receives the event, camera, time and evidence frame instead of reviewing every stream manually.

  • accidents and stops;
  • wrong-way driving;
  • lane blockage;
  • risky maneuvers.
AccidentsViolationsNotificationsArchive
Passenger flow and stops
passengers

Passenger flow and stop load

Scenarios count people at stops, boarding, alighting, queues and high-density zones.

This helps evaluate intervals, service quality, overloaded points and the need to reinforce routes.

  • boarding and alighting;
  • queues at stops;
  • people density;
  • vehicle and platform load.
PassengersQueuesLoadKPI
Public transport dispatching
public transport

Routes, buses, taxis and rolling stock

Video analytics complements telematics with the real situation at stops, lanes, depots and routes.

Events support dispatching, interval control, dispute handling and carrier performance checks.

  • buses and taxis;
  • dedicated lanes;
  • depots and stops;
  • route events.
BusesTaxiDepotRoutes
Freight transport and checkpoints
freight transport

Freight routes, checkpoints and unloading zones

For logistics, entrances, exits, waiting time, zone presence, unloading and disputes matter.

The system links plate, vehicle type, time, camera and event to speed up review and reduce manual checks.

  • checkpoints and gates;
  • waiting and unloading;
  • route control;
  • vehicle event archive.
TrucksCheckpointLogisticsArchive
Transport control center
control center

Transport network dispatch center

Events from roads, parking, stops, depots and routes are collected in one interface.

Dispatchers see maps, cameras, statuses, events, archives, reports and transport network KPIs.

  • camera and zone map;
  • event log;
  • reports and KPIs;
  • VMS and BI integrations.
DispatchMapEventsBI
transport types

Where the system is used

One layer can be adapted for city roads, fleets, depots, parking, taxis, buses, freight routes and rail assets.

Buses

Stops, dedicated lanes, intervals, boarding, alighting and load.

Taxi and car sharing

Pick-up zones, long stops, access roads, disputes and violations.

Trains and trams

Platforms, doors, boarding, alighting and line events.

Freight transport

Checkpoints, unloading, waiting, routes and entry/exit control.

Parking

Free spaces, violations, entry, exit and vehicle search.

Roads and junctions

Speed, density, congestion, lanes, crossings and danger zones.

deployment

How transport analytics is deployed

Start with one junction, entrance or depot, validate event quality and then scale to a network.

Works with existing cameras

RTSP/ONVIF connection to existing cameras, VMS and archives without replacing the whole infrastructure.

Edge, On-Prem or Cloud

Analytics can run on site, in a data center or in hybrid mode with buffering and health monitoring.

Scales to a network

After a pilot, new cameras, zones, routes, event types, reports and integrations are added.

project start

Start with the transport scenario that gives fast value

Choose the starting task: plates, flow, incidents, passengers, parking or dispatching. We will propose cameras, models and integrations.