Evaluation of Red Clearance Extension designs with Hardware-in-the-Loop simulation

Abstract Advances in signal controller software and hardware are introducing new safety-enhancing functions to the signal engineer’s toolbox. Hardware-in-the-Loop (HITL) simulation can evaluate alternative timing parameters, detection strategies, and intersection geometries in a safe and cost-effective manner. Red Clearance Extension (RCE) is one design alternative that can be evaluated by HITL simulation. RCE operates by predicting Red Light Running vehicles and dynamically increasing red clearance interval duration to reduce crash probability. In this study, HITL simulation was used to evaluate four alternative RCE detection strategies. Novel code was developed in R to visualize output in Enhanced Time-Space Diagrams (ETSDs). RLR vehicles triggered the highest rate of correct RCE events when the downstream detection alternative was used. However, the ETSDs showed that RCE events triggered by smart upstream speed-conditional detection alternatives at 125, 215, and 475 ft provided greater safety for vehicles with no significant increase to intersection delay incurred.

[1]  Kevin Moriarty,et al.  Guidelines for Timing Yellow and Red Intervals at Signalized Intersections , 2012 .

[2]  Masoud Ghodrat Abadi,et al.  Evaluation of Right-of-Way Transitions at Signalized Intersections: Implications of Driver Behavior for Conflicting Through Movements , 2017 .

[3]  Carl Scott Olson.  Safety Effectiveness of Red Light Treatments for Red Light Running , 2012 .

[4]  Kun Zhou,et al.  Prediction of Red-Light Running on Basis of Inductive-Loop Detectors for Dynamic All-Red Extension , 2012 .

[5]  Montasir M Abbas,et al.  INTELLIGENT DETECTION-CONTROL SYSTEM FOR RURAL SIGNALIZED INTERSECTIONS , 2002 .

[6]  Pravin Varaiya,et al.  Wireless magnetic sensors for traffic surveillance , 2008 .

[7]  Meng Li,et al.  Applying Least Squares Support Vector Machines for Prediction of Red-Light-Running Based on Continuous Vehicle Trajectories Measurements , 2014 .

[8]  Sangjun Park,et al.  Development of Hardware-in-the-Loop Testbed for Evaluating Truck Safety Systems , 2011 .

[9]  Ashish Agarwal,et al.  A Comparison of Weekend and Weekday Travel Behavior Characteristics in Urban Areas , 2004 .

[10]  Yang Lu,et al.  Design and Evaluation of an Intelligent Dilemma-Zone Protection System for a High-Speed Rural Intersection , 2013 .

[11]  Toshiyuki Nakamiya,et al.  Robust Vehicle Detection under Various Environmental Conditions Using an Infrared Thermal Camera and Its Application to Road Traffic Flow Monitoring , 2013, Sensors.

[12]  N. H. C. Yung,et al.  An effective video analysis method for detecting red light runners , 2001, IEEE Trans. Veh. Technol..

[13]  Jaehyun So,et al.  Evaluation of Manual Traffic-Signal Control under Oversaturated Conditions Using Hardware-in-the-Loop Simulation , 2013 .

[14]  Online Estimation of Travel Time Variability Using the Integrated Traffic Incident and Weather Data , 2017 .

[15]  Montasir Abbas,et al.  An Algorithm for Identifying Red Light Runners from Radar Trajectory Data , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[16]  Kun Zhou,et al.  Prediction of Red Light Running Based on Statistics of Discrete Point Sensors , 2009 .

[17]  Kun Cao,et al.  A dynamic automated lane change maneuver based on vehicle-to-vehicle communication , 2016 .

[18]  Faisal Awadallah.  YELLOW AND ALL-RED INTERVALS: HOW TO IMPROVE SAFETY AND REDUCE DELAY? , 2013 .

[19]  Rahim F Benekohal,et al.  Dual Microwave Radar Vehicle Detection System at Four-Quadrant-Gate Railroad Grade Crossing , 2014 .

[20]  Meng Wang,et al.  Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication , 2016 .

[21]  Ilsoo Yun,et al.  Traffic Controller Performance during Time-of-Day Transition at Coordinated Actuated Signal Systems , 2008 .

[22]  Lawrence A Klein,et al.  SUMMARY OF VEHICLE DETECTION AND SURVEILLANCE TECHNOLOGIES USED IN INTELLIGENT TRANSPORTATION SYSTEMS , 2000 .

[23]  Zhen Li,et al.  HARDWARE-IN-THE-LOOP SIMULATION , 2004 .