Green Light Optimized Speed Advisory Systems: Impact of Signal Phasing Information Accuracy
Abstract
The highest fuel consumption on urban arterials is associated with driving in congested traffic, characterized by higher speed fluctuations and frequent stops at intersections. One way to reduce excessive stop-and-go driving on urban streets is to optimize signal timings. More recently, new methods in traffic signal optimization have incorporated changes in drivers' behavior to achieve optimum performance at signalized intersections. Connected vehicles technology provides a two-way wireless communication environment enabling vehicle-to-vehicle and vehicle-to-infrastructure communications, which can be used for a variety of mobility and safety applications. One such application is called the green light optimized speed advisory (GLOSA). This system uses timely and accurate information about traffic signal timing and traffic signal locations to guide drivers (through infrastructure-to-vehicle communication) with speed advice for a more uniform commute with less stopping time through traffic signals. A GLOSA implementation was evaluated for two types of traffic signal timing: predictable fixed-time signal timing and unpredictable actuated–coordinated signal timing. A two-intersection traffic network was modeled in VISSIM to achieve trustworthy results calibrated in the field. A comprehensive modal emission model was used to accurately estimate emissions. Experiments included various infrastructure-to-vehicle penetration rates and GLOSA activation frequencies. Results indicated that actuated–coordinated signal timings were not dependable for use in GLOSA systems. For fixed-time signals, higher penetration rates and more frequent GLOSA activations resulted in better traffic performance. GLOSA caused only minor improvements in fuel consumption, and average delay in vehicles stopped was improved significantly.
Get full access to this article
View all access and purchase options for this article.
References
1. Barth M., and Boriboonsomsin K. Real-World CO2 Impacts of Traffic Congestion. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
2. Widodo A., Hasegawa T., and Tsugawa S. Vehicle Fuel Consumption and Emission Estimation in Environment-Adaptive Driving With or Without Inter-Vehicle Communications. Proc. IEEE Intelligent Vehicles Symposium, Dearborn, Mich., IEEE, New York, 2000, pp. 382–386.
3. Sanchez M., Cano J.-C., and Kim D. Predicting Traffic Lights to Improve Urban Traffic Fuel Consumption. Proc., IEEE 6th International Conference on ITS Telecommunications, Chengdu, China, IEEE, New York, 2006, pp. 331–336.
4. Wegener A., Hellbruck H., Wewetzer C., and Lubke A. Vanet Simulation Environment with Feedback Loop and Its Application to Traffic Light Assistance. GLOBECOM Workshops, New Orleans, La., IEEE, New York, 2008, pp. 1–7.
5. Tielert T. K., Hartenstein M., Luz H., Hausberger R., and Benz S. T. The Impact of Traffic-Light-to-Vehicle Communication on Fuel Consumption and Emissions. In Internet of Things 2010—Second International Conference for Academia and Industry, Tokyo, 2010.
6. Asadi B., and Vahidi A. Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time. IEEE Transactions on Control Systems Technology, Vol. 19, No. 3, 2010, pp. 707–714.
7. Katsaros K., Kernchen R., Dianati M., and Riecky D. Performance Study of a Green Light Optimized Speed Advisory (GLOSA) Application Using an Integrated Cooperative ITS Simulation Platform. Proc., International Wireless Communications and Mobile Computing Conference, Istanbul, Turkey, 2011, pp. 918–923.
8. Queck T., Schunemann B., Radusch I., and Meinel C. Realistic Simulation of V2X Communication Scenarios. Proc., 2008 IEEE Asia-Pacific Services Computing Conference, Washington, D.C., IEEE, New York, 2008, pp. 1623–1627.
9. VISSIM 5.30 User Manual. Planung Transport Verkehr AG, Karlsruhe, Germany, 2010.
10. Scora G., and Barth M. Comprehensive Modal Emission Model (CMEM) Version 3.01 User's Guide. University of California, Riverside, 2006.
11. Stevanovic A. Z., Stevanovic J., and Martin P. T. Optimizing Signal Timings from the Field: VISGAOST and VISSIM-ASC/3 Software-in-the-Loop Simulation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2128, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 114–120.
12. Greenshields B. D., Schapiro D., and Ericksen E. L. Traffic Performance at Urban Street Intersections. Eno Foundation for Highway Traffic Control, Saugatuck, Conn., 1947.
13. Stevanovic A. Z., Stevanovic J., Zhang K., and Batterman S. Optimizing Traffic Control to Reduce Fuel Consumption and Vehicular Emissions: An Integrated Approach of VISSIM, CMEM, and VISGAOST. In Transportation Research Record: Journal of the Transportation Research Board, No. 2128, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 105–113.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published online: January 1, 2013
Issue published: January 2013
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 197
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 39
- Eco-driving at signalized intersections: a parameterized reinforcement...
- Standard environmental evaluation framework reveals environmental bene...
- Learning the Policy for Mixed Electric Platoon Control of Automated an...
- Impacts of Connected and Automated Vehicles on Road Safety and Efficie...
- An optimal control approach of integrating traffic signals and coopera...
- Ecology based network traffic control: A bee colony optimization appro...
- Modeling Analysis of Automated and Connected Cars in Signalized Inters...
- An Integrated Simulation Environment to test the effectiveness of GLOS...
- A single-layer approach for joint optimization of traffic signals and ...
- Eco-Drive Technology, Human Factors, and Environmental and Economic Be...
- Traffic flow and emissions improvement via Vehicle‐to‐vehicle and vehi...
- Virtual and Real Data Populated Intersection Visualization and Testing...
- C-V2X Communications for the Support of a Green Light Optimized Speed ...
- V2X Communications for the Support of GLOSA and Intelligent Intersecti...
- Platoon-Centered Control for Eco-Driving at Signalized Intersection Bu...
- Receding Horizon Cooperative Platoon Trajectory Planning on Corridors ...
- Development of Assessment Tool and Overview of Adaptive Traffic Contro...
- Impact of conflict resolution parameters on combined alternate-directi...
- A methodology for prediction accuracy assessment of intelligent traffi...
- The Day 1 C-ITS Application Green Light Optimal Speed Advisory—A Mappi...
- Optimal Platoon Trajectory Planning Approach at Arterials
- Green Light Optimal Speed Advisory: a C-ITS to improve mobility and po...
- Reinforcement Learning of Driver Receiving Traffic Signal Information ...
- Safety Evaluation of the Advanced Stop Assist System in Connected Vehi...
- Congestion Adaptive Traffic Light Control and Notification Architectur...
- Probabilistic Communication in Car Platoons
- Exploring GLOSA systems in the field: Technical evaluation and results
- Automated vehicles in smart urban environment: A review
- Cooperative Smart Intersection as an Enabler of Advanced Traffic Manag...
- The Use of Adaptive Traffic Signal Systems Based on Floating Car Data
- An extended car-following model with consideration of speed guidance a...
- Impact of Green Light Optimized Speed Advisory on Unsignalized Side-St...
- An Integrated Simulation Environment for Testing V2X Protocols and App...
- VITAL: A Simulation-Based Assessment of New Traffic Light Controls
- Backpressure Traffic Control Algorithms in Field-like Signal Operation...
- Multi-criteria optimization of traffic signals: Mobility, safety, and ...
- Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Tra...
- An Optimal Velocity-Planning Scheme for Vehicle Energy Efficiency Thro...
- Comparison of Green Light Optimal Speed Advisory approaches
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
