Microscopic cooperative traffic flow: Calibration and simulation based on a next generation simulation dataset

Monteil, Julien, Nantes, Alfredo, Billot, Romain, Sau, Jacques, & El Faouzi, Nour-Eddin (2014) Microscopic cooperative traffic flow: Calibration and simulation based on a next generation simulation dataset. IET Intelligent Transport Systems, 8(6), pp. 519-525.

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The deployment of new emerging technologies, such as cooperative systems, allows the traffic community to foresee relevant improvements in terms of traffic safety and efficiency. Autonomous vehicles are able to share information about the local traffic state in real time, which could result in a better reaction to the mechanism of traffic jam formation. An upstream single-hop radio broadcast network can improve the perception of each cooperative driver within a specific radio range and hence the traffic stability. The impact of vehicle to vehicle cooperation on the onset of traffic congestion is investigated analytically and through simulation. A next generation simulation field dataset is used to calibrate the full velocity difference car-following model, and the MOBIL lane-changing model is implemented. The robustness of the calibration as well as the heterogeneity of the drivers is discussed. Assuming that congestion can be triggered either by the heterogeneity of drivers' behaviours or abnormal lane-changing behaviours, the calibrated car-following model is used to assess the impact of a microscopic cooperative law on egoistic lane-changing behaviours. The cooperative law can help reduce and delay traffic congestion and can have a positive effect on safety indicators.

Impact and interest:

4 citations in Scopus
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3 citations in Web of Science®

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ID Code: 88719
Item Type: Journal Article
Refereed: Yes
Keywords: digital simulation, mobile radio, road safety, road traffic, traffic engineering computing
DOI: 10.1049/iet-its.2013.0035
ISSN: 1751-956X
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Deposited On: 04 Nov 2015 00:29
Last Modified: 04 Nov 2015 00:31

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