Dynamic highway congestion detection and prediction based on shock waves

Dijiang Huang, Swaroop Shere, Soyoung Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations


Existing highway traffic monitoring system requires to deploy a large number of sensors and video cameras to detect traffic congestions, which is costly and prone to errors and failures [1]. In this paper, we present a distributed traffic detection and prediction solution by using shock wave traffic model. We develop a Hello protocol to maintain the vehicle sequence on the same lane. Based on the measurements of velocity and distance between immediate leading and following vehicles, a vehicle can detect and compute shock wave velocity incurred by vehicle merges or obstacles on the highway. When velocity changes occur continuously, congestions will be formed, which can be detected and predicted by the vehicles through a shock wave detection procedure. Our solution is effective since we only require vehicles to communicate with its neighboring vehicles within its wireless communication range VANET, Traffic Modeling, Congestion Detection and Prediction.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th ACM Int. Workshop on VehiculAr InterNETworking, VANET '10, Co-located with MobiCom'10 and 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc'10
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Print)9781450301459
StatePublished - 2010
Event7th ACM International Workshop on VehiculAr InterNETworking, VANET '10 - Chicago, IL, United States
Duration: Sep 20 2010Sep 24 2010

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM


Other7th ACM International Workshop on VehiculAr InterNETworking, VANET '10
Country/TerritoryUnited States
CityChicago, IL


  • Congestion detection and prediction
  • Traffic modeling

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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