Assessing the impacts of signal coordination on the crash risks of various driving cohorts |
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| Institution: | 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu，China;2. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, West Park, High-Tech District, Chengdu, China;3. Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States;1. The University of Tennessee at Chattanooga, Chattanooga, TN, United States;2. Square, Inc., San Francisco, CA, United States;3. Clemson University, SC, United States;4. Wells Fargo, San Francisco, CA, United States;1. University of Paris VIII and French Institute of Science and Technology for Transport, Development and Networks (Ifsttar), AME-LPC, 25 allée des Marronniers, CS 90508, 78008 VERSAILLES Cedex, France;2. Federal University of Paraná, Department of Psychology, Praça Santos Andrade, 50 – Prédio Histórico da UFPR, Sala 214, CEP 80020-300 Curitiba, Brazil;3. Ifsttar, AME-LPC, 25 allée des Marronniers, CS 90508, 78008 VERSAILLES Cedex, France;1. Center for Transportation Research, University of Tennessee – Knoxville, 600 Henley Street, 309 Conference Center Building, Knoxville, TN 37996-4133, USA;2. Division of Unintentional Injury Prevention, Centers for Disease Control, Atlanta, GA 30030, USA |
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| Abstract: | Introduction: Signal coordination has been wildly implemented on urban arterials to improve traffic efficiency. The impacts of signal coordination on traffic safety, however, are largely overlooked, particularly on crash propensities of driver–vehicle cohorts, which will vary due to changing traffic flow patterns. Method: The paper aims to compare crash risks of various driving cohorts (measured by relative crash involvement ratio) on arterials with and without signal coordination with quasi-induced exposure technique, which has been well developed in estimating crash risks for driver–vehicle characteristics (i.e., driver age, gender, and vehicle type). Michigan traffic crash data (2000–2014) are retrieved for the case study. Results: The results indicate that: (a) when signal coordination is implemented, young, male drivers, and pickups are associated with more crash responsibilities; (b) crash propensities vary for different disaggregated situations, e.g., young drivers may experience the rapid increase in crash risks during the peak hours; and (c) more hazardous actions (e.g., failing to stop in assured clear distance) are witnessed for the high-risk driving cohorts on the coordinated arterials than non-coordinated ones. Conclusions and practical applications: The findings highlight the importance of safety impact analysis of signal coordination, and serve to guide the potential improvements of safety operation and management of signal coordinated arterials. |
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