AI TRAFFIC

A multipurpose AI focused on Smart Cities and Traffic, with Pedestrians, Cyclists and Vehicle management. Ful UTC and UTMC support.

NOW Wireless has developed its own AI which allows us

AI Traffic

  • Count and Classify: Pedestrians, Cyclists, Vehicles

  • Track: Pedestrians, Cyclists, Vehicles

  • Overhead Detectors: Stop Line Detection, Road Loops, Remote Loops. A Virtual Loop requires no road works.

  • Turn Analysis: Monitor where Peds, Cyclists and Vehicles travel

  • Start/End Journey: Where do Pedestrians, Cyclists and Vehicles start their Journey

  • Parking: Car Parks, On-street count and record for billing and management

Virtual Loops

Stop Line and Overhead Detection

  • Traditional loops requiring road works are replaced by AI, sensors and a camera

  • Resulting video analytics allows vehicles to be counted and classified

  • Identifies traffic hotspots and automatically triggers mitigation measures

  • The AI is flexible and can be trained to identify pedestrians and 17 vehicle types. An option to introduce AI is to replace something that is required often: Loops

  • The new ARTMS standard will need AI to input to UTC to give more information to OTU

  • Traditional loops requiring road works are replaced by AI, sensors and a camera

  • Resulting video analytics allows vehicles to be counted and classified

  • The AI is flexible and can be trained to identify pedestrians and vehicle types

  • ANPR: Provide Journey Time, Turn Analysis

  • Queue Detection: Provide Q management

  • Low Emission Zones: Integrate into DVLC systems to check vehicles for Pollution and interface to billing

  • Road User charging: Provide Information for billing

  • Air Quality: to actual and predicted pollution types and adjust traffic based on this.

Traffic Monitoring

Intelligent information for traffic managers

  • Slow Traffic Alert

  • Stopped Traffic Alert

  • CAV Interfacing

  • Incident Detection

  • Dynamic Area of Interest alerting

Start / End Journey

Traffic Journey Analysis

  • Digital signatures tell us where they are going and where they come from

  • AI analysis of collected data provides detailed insights into road user usage

  • Capable of showing devices’ journeys throughout the whole day

  • Can identify non-standard vehicle routing

 

Queue Detection

Any Camera can be used to select an area used to detect if a Q has been formed

  • Detects Q’s

  • There is no Movement of a group of cars in the box

  • Slow movement of cars in the box

  • Triggers Alert Email or Loop Pulse/State

 

Turn Analysis

Cars at Junctions can be counted and classified by which direction they left the junction

  • AI tracks vehicles going through a junction

  • It classifies and counts the vehicles in real-time

  • Provides individual counts for each direction that is configured

Motion Tracking

Graphical Display of Vehicles through a Junction

  • Cars’ movement through the frame is tracked and vectors are shown

  • It can be displayed as a trace on the camera image

  • Demand Lines

ANPR

AI now can provide ANPR information as well as classification

  • Journey Time

  • ANPR allows Classification Extensions

  • Turn Analysis

  • Start/End Journey

Bus and Taxi

AI can detect a bus and give a green wave whilst logging cars in bus lanes and bus stops.

  • Provides Journey Time using ANPR or Bluetooth

  • AI sensors can recognise temporary buses, such as football coaches.

  • UTC and UTMC interface

  • Bus and bus stop detection to delay traffic light change