A conceptual framework for dynamic extension of the red clearance interval as a countermeasure for red-light-running-Reference-Cited by-同舟云学术

A conceptual framework for dynamic extension of the red clearance interval as a countermeasure for red-light-running

Published:2016-11 Issue: Volume:96 Page:341-350
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Gates Timothy J.,Noyce David A.

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference14 articles.

1. Intelligent Detection–Control System for Rural Signalized Intersections. Report 4022-2;Bonneson,2002

2. Engineering Countermeasures to Reduce Red-Light-Running. Report 4027-2;Bonneson,2002

3. Connected vehicle based dynamic all-red extension for adaptive signalized intersections;Chen,2013

4. Optimal advance detector location for green termination systems on high-speed isolated rural intersections;Du,2012

5. A Dynamic On-Demand All-Red Clearance Interval Extension Process for Stochastic Vehicular Arrivals at Signalized Intersections. Doctoral Dissertation;Gates,2007

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Influence of following vehicle’s tailway and classification on subject driver’s response to the circular yellow indication;Transportation Research Part F: Traffic Psychology and Behaviour;2021-02

2. All-Red Clearance Intervals for Use in the Left-Turn Application of Flashing Yellow Arrows;Journal of Transportation Engineering, Part A: Systems;2020-04

3. SIV-DSS: Smart In-Vehicle Decision Support System for driving at signalized intersections with V2I communication;Transportation Research Part C: Emerging Technologies;2018-05

4. Implementation of a Dynamic All-Red Extension at Signalized Intersections in North Carolina: Evaluation of Driver Adaptation and Operational Performance;Transportation Research Record: Journal of the Transportation Research Board;2017-01

5. Analytical methods for quantifying driver behavior in a dilemma zone prologue;Accident Analysis & Prevention;2016-11