Estimating Rear-End Accident Probabilities at Signalized Intersections: A Comparison Study of Intersections With and Without Green Signal Countdown Devices

Objective: Rear-end accidents are the most common accident type at signalized intersections, because the diversity of actions taken increases due to signal change. Green signal countdown devices (GSCDs), which have been widely installed in Asia, are thought to have the potential of improving capacity and reducing accidents, but some negative effects on intersection safety have been observed in practice; for example, an increase in rear-end accidents. Methods: A microscopic modeling approach was applied to estimate rear-end accident probability during the phase transition interval in the study. The rear-end accident probability is determined by the following probabilities: (1) a leading vehicle makes a “stop” decision, which was formulated by using a binary logistic model, and (2) the following vehicle fails to stop in the available stopping distance, which is closely related to the critical deceleration used by the leading vehicle. Based on the field observation carried out at 2 GSCD intersections and 2 NGSCD intersections (i.e., intersections without GSCD devices) along an arterial in Suzhou, the rear-end probabilities at GSCD and NGSCD intersections were calculated using Monte Carlo simulation. Results: The results suggested that, on the one hand, GSCDs caused significantly negative safety effects during the flashing green interval, especially for vehicles in a zone ranging from 15 to 70 m; on the other hand, GSCD devices were helpful in reducing rear-end accidents during the yellow interval, especially in a zone from 0 to 50 m. Conclusions: GSCDs helped shorten indecision zones and reduce rear-end collisions near the stop line during the yellow interval, but they easily resulted in risky car following behavior and much higher rear-end collision probabilities at indecision zones during both flashing green and yellow intervals. GSCDs are recommended to be cautiously installed and education on safe driving behavior should be available.

[1]  黒田 孝次,et al.  Highway Capacity Manual改訂の動向--テイラ-教授の講演より , 1984 .

[2]  Lee D. Han,et al.  Effects of Countdown Timers on Driver Behavior After the Yellow Onset at Chinese Intersections , 2011, Traffic injury prevention.

[3]  Q. Yu,et al.  Car-Following Criteria at a Signalized Intersection in Beijing , 2009 .

[4]  Thirayoot Limanond,et al.  Exploring impacts of countdown timers on traffic operations and driver behavior at a signalized intersection in Bangkok , 2010 .

[5]  Cheol Oh,et al.  Estimation of rear-end crash potential using vehicle trajectory data. , 2010, Accident; analysis and prevention.

[6]  C Newton,et al.  Evaluation of an alternative traffic light change anticipation system. , 1997, Accident; analysis and prevention.

[7]  Yu-Chiun Chiou,et al.  Driver responses to green and red vehicular signal countdown displays: Safety and efficiency aspects. , 2010, Accident; analysis and prevention.

[8]  Mohammad M. Hamed,et al.  MODELLING VEHICLE-TIME HEADWAYS IN URBAN MULTILANE HIGHWAYS , 1997 .

[9]  Robert C. Deen,et al.  GREEN-EXTENSION SYSTEMS AT HIGH-SPEED INTERSECTIONS , 1978 .

[10]  Fred L. Mannering,et al.  Estimating Rear-End Accident Probabilities at Signalized Intersections: Occurrence-Mechanism Approach , 2003 .

[11]  Mohamed Abdel-Aty,et al.  Characteristics of rear-end accidents at signalized intersections using multiple logistic regression model. , 2005, Accident; analysis and prevention.

[12]  L E Keefer,et al.  Transportation and traffic engineering handbook. 2nd edition , 1982 .

[13]  K. M. Lum,et al.  A before-and-after study on green signal countdown device installation , 2006 .

[14]  Hoong Chor Chin,et al.  Study of Intersection Accidents by Maneuver Type , 2002 .

[15]  Edward A. Brill A Car-Following Model Relating Reaction Times and Temporal Headways to Accident Frequency , 1972 .

[16]  Wanjing Ma,et al.  Investigating the Impacts of Green Signal Countdown Devices: An Empirical Approach and Case Study in China , 2010 .

[17]  Ali S. Al-Ghamdi,et al.  Analysis of Time Headways on Urban Roads: Case Study from Riyadh , 2001 .

[18]  David W. Eby,et al.  EXPLORING REAR-END ROADWAY CRASHES FROM THE DRIVER'S PERSPECTIVE , 1998 .

[19]  Robert Herman,et al.  The Problem of the Amber Signal Light in Traffic Flow , 1960 .

[20]  Edward Chung,et al.  PERFORMANCE OF ROUNDABOUTS UNDER HEAVY DEMAND CONDITIONS. , 1996 .

[21]  L E Keefer,et al.  Transportation and traffic engineering handbook , 1976 .

[22]  H Köll,et al.  Driver behaviour during flashing green before amber: a comparative study. , 2004, Accident; analysis and prevention.

[23]  Mohamed Abdel-Aty,et al.  Modeling rear-end collisions including the role of driver's visibility and light truck vehicles using a nested logit structure. , 2004, Accident; analysis and prevention.

[24]  Fang Shou-en Probabilistic Analysis and Risk Evaluation of Highway Rear-end Collision , 2011 .