Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras

Technology Category/ Market

Category –Automotive

Applications – Transport systems, Automation, Automobiles 

Industry –Automotive/ Transportation Systems

 Market -The global intelligent transportation system market is projected to grow from $22.91 billion in 2021 to $42.80 billion in 2028, at a CAGR of 9.34%

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Problem Statement

  • Obtaining accurate travel-time information for a transportation route is essential for various applications in transportation systems where travel-time is influenced by a complex interplay of multiple traffic variables that affect the route’s capacity and demand within the transportation network.
  • This estimation is crucial for tasks such as vehicle routing, urban planning, traffic management, and more.
  • However, the challenge lies in acquiring reliable traffic data that corresponds to the relevant traffic variables to enable accurate estimation of planned travel-time for the given route.

Technology

The present invention discloses a server for travel-time estimation capable of:

  • Receiving Travel Information: received from a user device specifies a particular route for which travel time needs to be estimated.
  • Receiving Traffic Data: Server receives traffic data multiple receiver modules distributed along the route.
  • Classify and re-identify the vehicles: Based on the traffic data the vehicles are classified and re-identified
  • Determine a travel-time interval for the route:Using the traffic data and the travel information, the server calculates a travel-time interval for the specified route.
  • Communicating the travel time: The server then communicates this calculated travel-time interval to the user device, which requested the travel-time estimation.

The traffic data received from the server includes two types of information:

  • identification information associated with computing devices in the traffic streams vehicle information associated with the vehicles in those streams
  • The said  receiver module comprises:
  •  a Wi-Fi Media Access Control Scanner (WMS) for determining identification information associated with computing devices in the traffic stream; and
  • a Light Detection and Ranging (LIDAR) system for determining vehicle information associated with vehicles in the traffic stream.
  • The travel time interval determined both an upper bound and a lower bound, providing a range of estimated travel times.
  • The server further obtain historical data associated with the route, wherein the historical data indicates past traffic information for one of the route and a transportation network; and determine the travel-time interval for the route, based on the historical data, the travel information and the traffic data from the at least one receiver module.

Key Features/ Value Proposition

Technical Perspective:

  • The invention discloses approaches for estimating travel-time for vehicles travelling across routes with heterogeneous traffic streams that involves a method and a server to execute the same
  • The server assign a confidence score to the travel-time interval based on error in the travel-time interval and modifies  a model for determination of the travel-time interval.

User Perspective:

  • The travel-time is determined using confidence intervals based on statistical models that enhances the accuracy of travel-time estimates.
  • Vehicle information collected by the receiver module includes parameters like between the module and the vehicle, angle of detection, lane, direction, depth, lateral distance, vehicle class, and space headway within the traffic stream.
  • Historical data provides information about past traffic conditions, which can be used to improve travel-time estimation accuracy

Questions about this Technology?

Contact for Licensing

sm-marketing@imail.iitm.ac.in
ipoffice2@iitm.ac.in

Research Lab

Prof. LELITHA DEVI V

Department of Civil Engineering

Intellectual Property

  • IITM IDF Ref. 1935
  • IN202041028930

Technology Readiness Level

TRL- 4-5

Technology validated in relevant environment

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