Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups. (December 2021)
- Record Type:
- Journal Article
- Title:
- Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups. (December 2021)
- Main Title:
- Active traffic management strategies for expressways based on crash risk prediction of moving vehicle groups
- Authors:
- Ma, Wanjing
He, Ziliang
Wang, Ling
Abdel-Aty, Mohamed
Yu, Chunhui - Abstract:
- Highlights: Active traffic management strategies based on crash risk prediction are proposed. A coordinated control strategy for optimal combination of VSL and RM is established. The crash risk prediction model and control strategies take the moving vehicle groups containing connected vehicles as the analysis object. VSL-RM is superior to VSL and RM in reducing crash risk and conflict count. 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 VSL-RM strategy was used to simultaneously control and coordinate traffic flow on the mainline and ramps. These strategies were tested in a well-calibrated and validatedHighlights: Active traffic management strategies based on crash risk prediction are proposed. A coordinated control strategy for optimal combination of VSL and RM is established. The crash risk prediction model and control strategies take the moving vehicle groups containing connected vehicles as the analysis object. VSL-RM is superior to VSL and RM in reducing crash risk and conflict count. 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 VSL-RM strategy was used to simultaneously control and coordinate traffic flow on the mainline and ramps. These strategies were tested in a well-calibrated and validated micro-simulation network. The crash risk index and conflict count were utilized to evaluate the safety effects of these strategies. The results indicate that the ATM strategies improved the expressway safety benefits by 2.84–15.92%. The increase in CV penetration rate would promote the safety benefits of VSL and VSL-RM. Moreover, VSL-RM was superior to VSL and RM in reducing crash risk and conflict count. … (more)
- Is Part Of:
- Accident analysis and prevention. Volume 163(2021)
- Journal:
- Accident analysis and prevention
- Issue:
- Volume 163(2021)
- Issue Display:
- Volume 163, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 163
- Issue:
- 2021
- Issue Sort Value:
- 2021-0163-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Connected vehicles -- Crash risk of moving vehicle group -- METANET model -- Variable speed limit -- Ramp metering -- Coordination of ramp metering and variable speed limit
Accidents -- Prevention -- Periodicals
Accident Prevention -- Periodicals
Accidents -- Prévention -- Périodiques
363.106 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00014575 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aap.2021.106421 ↗
- Languages:
- English
- ISSNs:
- 0001-4575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0573.130000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21607.xml