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Francois Dion
Researcher at University of Michigan
Publications - 15
Citations - 1467
Francois Dion is an academic researcher from University of Michigan. The author has contributed to research in topics: Traffic simulation & Intelligent transportation system. The author has an hindex of 8, co-authored 15 publications receiving 1386 citations. Previous affiliations of Francois Dion include Michigan State University & Western Michigan University.
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Journal ArticleDOI
Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety
TL;DR: An overview of highway cooperative collision avoidance (CCA), which is an emerging vehicular safety application using the IEEE- and ASTM-adopted Dedicated Short Range Communication (DSRC) standard, and an example of the safety performance of CCA using simulated vehicle crash experiments.
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Vehicle emissions in congestion: Comparison of work zone, rush hour and free-flow conditions
TL;DR: In this paper, the authors estimate vehicle emissions from light and heavy-duty vehicles (LDVs, HDVs) in work zone and rush hour congestion, which are compared to emissions under free-flow traffic conditions.
Journal ArticleDOI
Estimating dynamic roadway travel times using automatic vehicle identification data for low sampling rates
Francois Dion,Hesham A. Rakha +1 more
TL;DR: Applications of the algorithm to two AVI datasets from San Antonio demonstrate the ability of the proposed algorithm to efficiently track typical variations in average link travel times while suppressing high frequency noise signals.
Proceedings ArticleDOI
Cooperative vehicle collision avoidance using inter-vehicle packet forwarding
TL;DR: Results demonstrate that with inter-vehicle spacing of nearly one second, the proposed mechanism is capable of saving up to 90% of vehicles in a platoon from chain crashes following emergency events at the front of the platoon.
Journal ArticleDOI
Virtual Testbed for Assessing Probe Vehicle Data in IntelliDrive Systems
TL;DR: An effort to develop a virtual testbed for assessing probe vehicle data generation by IntelliDrive vehicles within a microscopic traffic-simulation environment and results clearly demonstrate the utility of the simulator in conducting evaluations and sensitivity analyses for scenarios that would be difficult to execute in existing testbeds.