Safety Evaluation of Arterials under Signal Coordination Considering the Correlated Heterogeneity and Multivariate Spatial Correlation
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 3
Abstract
Signal-coordinated control systems have been widely implemented on urban arterials. By synchronizing consecutive intersections, signal coordination can significantly improve the throughput of vehicles along arterials. Considerable research has been dedicated to assessing the efficiency of coordinated signalization, while from a safety perspective there is a lack of necessary effort to identify the correlated heterogeneity between injury and property damage only (PDO) crashes. In this paper, the authors adopt a multivariate Poisson log-normal (MPLN) model to reveal the heterogeneous connectivity along coordinated arterials. In addition, spatial correlations of conditional autoregression (CAR) and multivariate conditional autoregression (MCAR) are added to the MPLN model for the purpose of calibrating the regressive results. With the surveyed arterials in Ann Arbor, Michigan, the case study shows that (1) the MPLN-MCAR model predicts the results more accurately compared to the MPLN-CAR and MPLN models, (2) the spatial correlation of injury crashes differs significantly from that of PDO crashes, and (3) there is a strongly correlated heterogeneity between injury and PDO crashes. The findings serve to provide effective countermeasures for safety planning, design, and management of signal-coordinated arterials.
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Data Availability Statement
Some or all data, models, or code generated or used during the study, such as the crash count of surveyed arterials and the code used in the simulation process, are available from the corresponding author by request.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (NSFC-71771191), Sichuan Provincial Science and Technology Innovation Talent Fund (2019JDRC0023), and the Doctoral Innovation Fund Program of Southwest Jiaotong University (D-CX201828 and D-CX201726). The authors thank the National Natural Science Foundation of China, Sichuan Provincial Department of Science and Technology, and Southwest Jiaotong University for supporting this research.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 3 • March 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Apr 18, 2019
Accepted: Jul 23, 2019
Published online: Jan 2, 2020
Published in print: Mar 1, 2020
Discussion open until: Jun 2, 2020
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