Simulation-driven Based Utility Evaluation and Recommendation of Expressway Proactive Speed Limit

Authors

Geqi Qi, 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China;3.Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China;Follow
Sijin Liu, 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
Yikang He, 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
Meng Wang, 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;
Ailing Huang, 1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;

Abstract

Abstract: Outside the specific punishment area, the traditional roadside passive speed limit mode lacks traffic management, and thus which indirectly leads to the inconsistency or even sudden change of vehicle behaviors in time and space, thereby affects the traffic efficiency and safety. Focusing on the proactive speed limit mode at vehicle side, a utility evaluation and recommendation method is proposed, which carries out the multi-scenario traffic simulation for varied proactive and passive speed limit considering road line types, traffic flow and vehicle type proportion. From the two perspectives of safety and efficiency, the utility evaluation indicators and weights are extracted through surrogate safety assessment model and traffic flow operation status, and the integrated learning method is used in further prediction and analysis. The results show that the proactive speed limiting mode can improve the safety and adjusting efficiency. In proactive speed limit, the prediction stability and accuracy of GBDT (gradient boosting decision tree) regression model are higher (R²=0.984).

Recommended Citation

Qi, Geqi; Liu, Sijin; He, Yikang; Wang, Meng; and Huang, Ailing (2022) "Simulation-driven Based Utility Evaluation and Recommendation of Expressway Proactive Speed Limit," Journal of System Simulation: Vol. 34: Iss. 12, Article 2.
DOI: 10.16182/j.issn1004731x.joss.22-FZ0903
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss12/2

First Page

2522

Revised Date

2022-10-21

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.22-FZ0903

Last Page

2534

CLC

TP391.9

Recommended Citation

Geqi Qi, Sijin Liu, Yikang He, Meng Wang, Ailing Huang. Simulation-driven Based Utility Evaluation and Recommendation of Expressway Proactive Speed Limit[J]. Journal of System Simulation, 2022, 34(12): 2522-2534.

DOI

10.16182/j.issn1004731x.joss.22-FZ0903