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Effects of a Probability-Based Green Light Optimized Speed Advisory on Dilemma Zone Exposure
Technical Paper
2020-01-0116
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Green Light Optimized Speed Advisory (GLOSA) systems have the objective of providing a recommended speed to arrive at a traffic signal during the green phase of the cycle. GLOSA has been shown to decrease travel time, fuel consumption, and carbon emissions; simultaneously, it has been demonstrated to increase driver and passenger comfort. Few studies have been conducted using historical cycle-by-cycle phase probabilities to assess the performance of a speed advisory capable of recommending a speed for various traffic signal operating modes (fixed-time, semi-actuated, and fully-actuated). In this study, a GLOSA system based on phase probability is proposed. The probability is calculated prior to each trip from a previous week’s, same time-of-day (TOD) and day-of-week (DOW) period, traffic signal controller high-resolution event data. By utilizing this advisory method, real-time communications from the vehicle to infrastructure (V2I) become unnecessary, eliminating data-loss related issues. The effects of three different advice approaches (conservative, balanced, and aggressive) on dilemma zone exposure are analyzed. Proof of concept is carried out by simulating drives through a test-route composed of an arterial that had historical high-resolution traffic signal event logs for a series of actuated-coordinated traffic signals during different TOD and DOW. A comparison was performed between unadvised and GLOSA advised trips obtained from approximately 486,000 simulated trajectories. Results were obtained by analyzing the vehicle’s probability of stopping from utilizing Traffic Engineering dilemma zone theory. Reductions of 93% in the amount of hard brakings and 96% in the number of crossings through red light were observed with the proposed system. This data suggests the feasibility of a probability-based advisory, as well as the viability of utilizing the proposed GLOSA system to minimize dilemma zone exposure.
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Citation
Saldivar-Carranza, E., Li, H., Kim, W., Mathew, J. et al., "Effects of a Probability-Based Green Light Optimized Speed Advisory on Dilemma Zone Exposure," SAE Technical Paper 2020-01-0116, 2020, https://doi.org/10.4271/2020-01-0116.Data Sets - Support Documents
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References
- Zimmerman , K. , Tolani , D. , Xu , R. , Qian , T. et al. Detection, Control, and Warning System for Mitigating Dilemma Zone Problem Transportation Research Record: Journal of the Transportation Research Board 2298 30 37 2012 10.3141/2298-04
- Li , H. , Wolf , J. , Mathew , J. , Navali , N. et al. Leveraging Connected Vehicles to Provide Enhanced Roadway Condition Information 98th Annual Meeting of the Transportation Research Board Washington, DC January 13-17, 2019
- Massera , C. , Terra , M. , and Wolf , D. Safe Optimization of Highway Traffic with Robust Model Predictive Control-Based Cooperative Adaptive Cruise Control IEEE Transactions on Intelligent Transportation Systems 18 11 3193 3203 2017 10.1109/TITS.2017.2679098
- Nguyen , V. , Kim , O. , Dang , T. , Moon , S. et al. An Efficient and Reliable Green Light Optimal Speed Advisory System for Autonomous Cars 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) 2016 Kanazawa, Japan October 5-7, 2016 10.1109/APNOMS.2016.7737260
- Shinde , S. Adaptive Traffic Light Control System 2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) Aurangabad, India 2017 300 306 10.1109/ICISIM.2017.8122189
- Li , J. , Dridi , M. , and El-Moudni , A. Multi-Vehicles Green Light Optimal Speed Advisory Based on the Augmented Lagrangian Genetic Algorithm 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) Qigdao, China October 8-11, 2014 2434 2439 10.1109/ITSC.2014.6958080
- Lebre , M.-A. , Le Mouël , F. , Ménard , E. , Garnault , A. et al. Real Scenario and Simulations on GLOSA Traffic Light System for Reduced CO2 Emissions, Waiting Time and Travel Time 22nd ITS World Congress Bordeaux, France 2015
- Sharara , M. , Ibrahim , M. , and Chalhoub , G. Impact of Network Performance on GLOSA 2019 16th IEEE Annual Consumer Communications and Networking Conference (CCNC) Las Vegas, USA January 11-14, 2019 10.1109/CCNC.2019.8651787
- Bodenheimer , R. , Brauer , A. , Eckhoff , D. , and German , R. Enabling GLOSA for Adaptive Traffic Lights 2014 IEEE Vehicular Networking Conference (VNC) Paderborn, Germany December 3-5, 2014 167 174 10.1109/VNC.2014.7013336
- Stahlmann , R. , Möller , M. , Brauer , A. , German , R. et al. Exploring GLOSA Systems in the Field: Technical Evaluation and Results Computer Communications. 120 112 124 2018 10.1016/j.comcom.2017.12.006
- Savolainen , P. , Sharma , A. , and Gates , T. Driver Decision-Making in the Dilemma Zone - Examining the Influences of Clearance Intervals, Enforcement Cameras and the Provision of Advance Warning through a Panel Data Random Parameters Probit Model Accident Analysis and Prevention 96 351 360 2016 10.1016/j.aap.2015.08.020
- Sharma , A. , Bullock , D. , and Peeta , S. Recasting Dilemma Zone Design as a Marginal Cost-Benefit Problem Transportation Research Record: Journal of the Transportation Research Board 2035 88 96 2007 10.3141/2035-10
- Federal Highway Administration https://safety.fhwa.dot.gov/intersection/conventional/signalized/#overview October 2019
- Day , C. , Bullock , D. , Li , H. , Remias , S. et al. 2014 10.5703/1288284315333
- Mathew , J. , Li , H. , Morgan , W. , Kim , W. et al. Probabilistic Distributions of Coordinated Traffic Signal Phase Indications for Connected Vehicle Applications 98th Annual Meeting of the Transportation Research Board Washington, DC January 13-17, 2019
- SAE International 2016
- Mathew , J. , Li , H. , and Bullock , D. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions along a Signalized Corridor submitted to the 99th Annual Meeting of the Transportation Research Record Washington, DC 2020
- Parsonson , P. Signalization of High Speed, Isolated Intersections Transportation Research Record 681 34 42 1978
- Zegeer , C. and Deen , R. Green-Extension Systems at High-Speed Intersections ITE Journal 48 11 1978
- Archer , J. and Young , W. Signal Treatments to Reduce Heavy Vehicle Crash-Risk at Metropolitan Highway Intersections Accident Analysis Prevention 41 404 411 2009 10.1016/j.aap.2008.12.015
- Sharma , A. , Bullock , D. , and Peeta , S. Estimating Dilemma Zone Hazard Function at High Speed Isolated Intersection Transportation Research Part C 19 400 412 2011 10.1016/j.trc.2010.05.002
- Lee , S. , Brown , S. , Perez , M. , Doerzaph , Z. et al. Normal and Hard Braking Behavior at Stop Signs and Traffic Signals Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting 49 22 1897 1901 2005 10.1177/154193120504902203