M. Imran Hayee
, Professor, UMD-Electrical Engineering
To save lives and prevent injuries on US highways, the need for vehicle-to-vehicle (V2V) and/or vehicle-to-infrastructure (V2I) communication has become the primary mission of IntelliDriveSM, an initiative of USDOT. This project investigated the architecture, functionality, and field demonstration 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 it back to the drivers approaching the congestion site. Such information can help drivers make informed decisions on route choice and/or preparing for upcoming congestion. Previously, the researchers 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. Their current system, on the other hand, can achieve a 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, such as 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 the new system can adapt to dynamically changing work zone traffic environments and can handle much longer congestion lengths compared to the previous system that used V2I-only communication without V2V assistance.