Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
This report describes the architecture, functionality and the field demonstration results of a newly developed DSRC
based V2I work zone traffic information system with V2V assistance. The developed system can automatically
acquire important work zone travel information, e.g., the travel time (TT) and the starting location of congestion
(SLoC), and relay them back to the drivers approaching the congestion site. Such information can help drivers in
making informed decisions on route choice and/or preparing for upcoming congestion. Previously, we designed
such a system using DSRC based V2I-only communication, which could not handle longer congestion lengths and
the message broadcast range was also very limited. Our current system, on the other hand, can achieve much longer
broadcast range (up to a few tens of kms), and can handle much longer congestion coverage length (up to a few
kms) by incorporating DSRC based V2I communication with V2V assistance. The new system is also portable and
uses only one RSU, which can acquire traffic data by engaging the vehicles traveling on the roadside whether
within or outside of its direct wireless access range. From the traffic data, it estimates important traffic parameters,
i.e., TT and SLoC, and periodically broadcasts them back to the vehicles approaching the congestion well before
they enter the congested area. The results from the field demonstration have indicated that new system can adapt to
dynamically changing work zone traffic environments and can handle much longer congestion lengths as compared
to the previous system using V2I-only communication without V2V assistance.
Department of Electrical and Computer Engineering, University of Minnesota Duluth; Northland Advanced Transportation Systems Research Laboratories, University of Minnesota Duluth
Maitipe, Buddhika; Ibrahim, Umair; Hayee, M. Imran.
Development and Field Demonstration of DSRC Based V2V-Assisted V2I Traffic Information System for the Work Zone.
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
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