#11412. Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups

August 2026publication date
Proposal available till 17-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Human Factors and Ergonomics;
Public Health, Environmental and Occupational Health;
Safety, Risk, Reliability and Quality;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
Active traffic management (ATM) strategies are useful methods to reduce crash risk and improve safety on expressways. Although there are some studies on ATM strategies, few studies take the moving vehicle group as the object of analysis. Based on the crash risk prediction of moving vehicle groups in a connected vehicle (CV) environment, this study developed various ATM safety strategies, that is, variable speed limits (VSLs), ramp metering (RM), and coordinated VSL and RM (VSL-RM) strategies. VSLs were updated to minimize the crash risk of multiple moving vehicle groups in the next time interval, which is 1 min, and the updated speed limits were sent directly to the CVs in the moving vehicle group. The metering rate and RM opening time were determined using mainline occupancy, the crash risk of upcoming moving vehicle groups, and the predicted time at which moving vehicle groups arrived at the on-ramp. The crash risk index and conflict count were utilized to evaluate the safety effects of these strategies. The increase in CV penetration rate would promote the safety benefits of VSL and VSL-RM.
Keywords:
Connected vehicles; Coordination of ramp metering and variable speed limit; Crash risk of moving vehicle group; METANET model; Ramp metering; Variable speed limit

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