Logit-Based Analysis of Drivers’ Crossing Behavior at Unsignalized Intersections in China

Objective: This study aims to investigate the crossing behavior of straight-moving drivers when they encounter other straight-moving drivers at unsignalized intersections in China. Background: In China, when two vehicle drivers encounter at an unsignalized intersection, neither driver completely sto...

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Veröffentlicht in:Human factors 2015-11, Vol.57 (7), p.1101-1114
Hauptverfasser: Lu, Guangquan, Liu, Miaomiao, Wang, Yunpeng, Wan, Huasen, Tian, Daxin
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container_end_page 1114
container_issue 7
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container_title Human factors
container_volume 57
creator Lu, Guangquan
Liu, Miaomiao
Wang, Yunpeng
Wan, Huasen
Tian, Daxin
description Objective: This study aims to investigate the crossing behavior of straight-moving drivers when they encounter other straight-moving drivers at unsignalized intersections in China. Background: In China, when two vehicle drivers encounter at an unsignalized intersection, neither driver completely stops his or her vehicle in most cases. Instead, one driver gradually approaches the intersection and dynamically decides to either yield or preempt by gaming with the other vehicle. This process increases the probability of accidents. Method: A total of 305 crossing cases were collected at an unsignalized intersection in Kunming City. Motion parameters were extracted from the video detection program designed by our research group. Based on a logistic regression method, we analyzed decision making moment of straight-moving drivers under crossing conditions, established crossing behavior models, and identified the main factors that affected drivers’ decisions. In all, 68 cases observed at a separate intersection were used to validate the established models. Results: For crossing processes at unsignalized intersections in China, straight-moving drivers from the right side completed preemptive/yielding decisions at 1.3 s before reaching the crossing point. However, the majority of straight-moving drivers from the left side completed decisions at 1.1 s before reaching the crossing point. The most important parameter that influenced the drivers’ decisions was the difference between the speeds of the two vehicles. Conclusion: An effective method for preventing traffic conflict between two straight-moving drivers is to control the speeds of the vehicles before they enter the intersection. Application: This study explores crossing behavior of straight-moving drivers and provides significant insights for controlling driver behavior.
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Background: In China, when two vehicle drivers encounter at an unsignalized intersection, neither driver completely stops his or her vehicle in most cases. Instead, one driver gradually approaches the intersection and dynamically decides to either yield or preempt by gaming with the other vehicle. This process increases the probability of accidents. Method: A total of 305 crossing cases were collected at an unsignalized intersection in Kunming City. Motion parameters were extracted from the video detection program designed by our research group. Based on a logistic regression method, we analyzed decision making moment of straight-moving drivers under crossing conditions, established crossing behavior models, and identified the main factors that affected drivers’ decisions. In all, 68 cases observed at a separate intersection were used to validate the established models. Results: For crossing processes at unsignalized intersections in China, straight-moving drivers from the right side completed preemptive/yielding decisions at 1.3 s before reaching the crossing point. However, the majority of straight-moving drivers from the left side completed decisions at 1.1 s before reaching the crossing point. The most important parameter that influenced the drivers’ decisions was the difference between the speeds of the two vehicles. Conclusion: An effective method for preventing traffic conflict between two straight-moving drivers is to control the speeds of the vehicles before they enter the intersection. Application: This study explores crossing behavior of straight-moving drivers and provides significant insights for controlling driver behavior.</description><identifier>ISSN: 0018-7208</identifier><identifier>EISSN: 1547-8181</identifier><identifier>DOI: 10.1177/0018720815592097</identifier><identifier>PMID: 26130677</identifier><identifier>CODEN: HUFAA6</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Accidents, Traffic ; Automobile drivers ; Automobile Driving - statistics &amp; numerical data ; Behavior ; China ; China - epidemiology ; Decision Making ; Encounters ; Human factors ; Humans ; Intersections ; Logistic Models ; Mathematical models ; Models, Theoretical ; Preempting ; Regression ; Regression analysis ; Reproducibility of Results ; Space life sciences ; Vehicles ; Velocity</subject><ispartof>Human factors, 2015-11, Vol.57 (7), p.1101-1114</ispartof><rights>2015, Human Factors and Ergonomics Society</rights><rights>2015, Human Factors and Ergonomics Society.</rights><rights>Copyright Human Factors and Ergonomics Society Nov 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-7484ec46e0b7f1aad0519422f0703057a540174717a6f6d14ffc31f2a39ba89f3</citedby><cites>FETCH-LOGICAL-c446t-7484ec46e0b7f1aad0519422f0703057a540174717a6f6d14ffc31f2a39ba89f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0018720815592097$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0018720815592097$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26130677$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lu, Guangquan</creatorcontrib><creatorcontrib>Liu, Miaomiao</creatorcontrib><creatorcontrib>Wang, Yunpeng</creatorcontrib><creatorcontrib>Wan, Huasen</creatorcontrib><creatorcontrib>Tian, Daxin</creatorcontrib><title>Logit-Based Analysis of Drivers’ Crossing Behavior at Unsignalized Intersections in China</title><title>Human factors</title><addtitle>Hum Factors</addtitle><description>Objective: This study aims to investigate the crossing behavior of straight-moving drivers when they encounter other straight-moving drivers at unsignalized intersections in China. 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Results: For crossing processes at unsignalized intersections in China, straight-moving drivers from the right side completed preemptive/yielding decisions at 1.3 s before reaching the crossing point. However, the majority of straight-moving drivers from the left side completed decisions at 1.1 s before reaching the crossing point. The most important parameter that influenced the drivers’ decisions was the difference between the speeds of the two vehicles. Conclusion: An effective method for preventing traffic conflict between two straight-moving drivers is to control the speeds of the vehicles before they enter the intersection. Application: This study explores crossing behavior of straight-moving drivers and provides significant insights for controlling driver behavior.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>26130677</pmid><doi>10.1177/0018720815592097</doi><tpages>14</tpages></addata></record>
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subjects Accidents, Traffic
Automobile drivers
Automobile Driving - statistics & numerical data
Behavior
China
China - epidemiology
Decision Making
Encounters
Human factors
Humans
Intersections
Logistic Models
Mathematical models
Models, Theoretical
Preempting
Regression
Regression analysis
Reproducibility of Results
Space life sciences
Vehicles
Velocity
title Logit-Based Analysis of Drivers’ Crossing Behavior at Unsignalized Intersections in China
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