Proactive vehicle re-routing strategies for congestion avoidance

Juan Pan, Mohammad A. Khan, Iulian Sandu Popa, Karine Zeitouni, Cristian Borcea

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

70 Scopus citations

Abstract

Traffic congestion causes driver frustration and costs billions of dollars annually in lost time and fuel consumption. This paper presents three traffic re-routing strategies designed to be incorporated in a cost-effective and easily deployable vehicular traffic guidance system that reduces the effect of traffic congestions. This system collects real-time traffic data from vehicles and road-side sensors and computes proactive, individually-tailored re-routing guidance which is pushed to vehicles when signs of congestion are observed on their route. Extensive simulation results over two urban road networks show that all three strategies, namely multipath load balancing considering future vehicle positions (EBkSP), random multipath load balancing (RkSP), and dynamic shortest path (DSP), significantly decrease the average travel time. EBkSP is the best, with as much as 104% improvement compared to the "no re-routing" baseline. Additionally, it lowers with 34% the re-routing frequency compared to the other strategies. Finally, all strategies offer good improvements even when many drivers ignore the guidance or when the system adoption rate is relatively low.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012
Pages265-272
Number of pages8
DOIs
StatePublished - 2012
Event8th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012 - Hangzhou, China
Duration: May 16 2012May 18 2012

Publication series

NameProceedings - IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012

Other

Other8th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2012
CountryChina
CityHangzhou
Period5/16/125/18/12

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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