Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29530


Select areas to restrict search in scientific publication database:
10009940
Estimating the Traffic Impacts of Green Light Optimal Speed Advisory Systems Using Microsimulation
Abstract:
Even though signalised intersections are necessary for urban road traffic management, they can act as bottlenecks and disrupt traffic operations. Interrupted traffic flow causes congestion, delays, stop-and-go conditions (i.e. excessive acceleration/deceleration) and longer journey times. Vehicle and infrastructure connectivity offers the potential to provide improved new services with additional functions of assisting drivers. This paper focuses on one of the applications of vehicle-to-infrastructure communication namely Green Light Optimal Speed Advisory (GLOSA). To assess the effectiveness of GLOSA in the urban road network, an integrated microscopic traffic simulation framework is built into VISSIM software. Vehicle movements and vehicle-infrastructure communications are simulated through the interface of External Driver Model. A control algorithm is developed for recommending an optimal speed that is continuously updated in every time step for all vehicles approaching a signal-controlled point. This algorithm allows vehicles to pass a traffic signal without stopping or to minimise stopping times at a red phase. This study is performed with all connected vehicles at 100% penetration rate. Conventional vehicles are also simulated in the same network as a reference. A straight road segment composed of two opposite directions with two traffic lights per lane is studied. The simulation is implemented under 150 vehicles per hour and 200 per hour traffic volume conditions to identify how different traffic densities influence the benefits of GLOSA. The results indicate that traffic flow is improved by the application of GLOSA. According to this study, vehicles passed through the traffic lights more smoothly, and waiting times were reduced by up to 28 seconds. Average delays decreased for the entire network by 86.46% and 83.84% under traffic densities of 150 vehicles per hour per lane and 200 vehicles per hour per lane, respectively.
Digital Object Identifier (DOI):

References:

[1] G. Santos, H. Behrendt, L. Maconi, T. Shirvani, and A. Teytelboym, “Research in Transportation Economics Part I : Externalities and Economic Policies in Road Transport,” Res. Transp. Econ., vol. 28, no. 1, pp. 2–45, 2010.
[2] Department for Transport, “An introduction to the Department for Transport’s road congestion statistics,” London, HMSO, 2016.
[3] Z. Cao, S. Jiang, J. Zhang, and H. Guo, “A Unified framework for vehicle rerouting and traffic light control to reduce traffic congestion,” IEEE Trans. Intell. Transp. Syst., vol. 18, no. 7, pp. 1958–1973, 2017.
[4] Department for Business Energy & Industrial Strategy, “2017 UK Greenhouse Gas Emissions, Provisional Figures: Statistical Release: National Statistics,” London, HMSO, 2018.
[5] Department for Business Energy & Industrial Strategy, “2015 UK Greenhouse Gas Emissions,” London, HMSO, 2017.
[6] Department for Business Energy & Industrial Strategy, “2016 UK Greenhouse Gas Emissions,” London, HMSO, 2018.
[7] J. Hart and G. Parkhurst, “Driven To Excess: Impacts of Motor Vehicles on the Quality of Life of Residents of Three Streets in Bristol UK,” 2011.
[8] K. Zhang and S. Batterman, “Air Pollution and Health Risks due to Vehicle Traffic,” Sci. Total Environ., vol. 450–451, pp. 307–316, 2013.
[9] Department for Transport, “Transport Statistics Great Britain 2017,” London, HMSO, 2017.
[10] Department for Transport, “Transport Statistics Great Britain 2018,” London, HMSO, 2018.
[11] R. Florin and S. Olariu, “A survey of vehicular communications for traffic signal optimization,” Veh. Commun., vol. 2, no. 2, pp. 70–79, 2015.
[12] B. Khondaker and L. Kattan, “Variable speed limit: A microscopic analysis in a connected vehicle environment,” Transp. Res. Part C Emerg. Technol., vol. 58, pp. 146–159, 2015.
[13] G. Njobelo, T. Sando, S. Sajjadi, E. Mtoi, M. A. Dulebenets, and J. Sobanjo, “Enhancing The Green Light Optimized Speed Advisory System to Incorporate Queue Formation,” Transp. Res. Rec., 2018.
[14] T. Q. Tang, J. Zhang, and K. Liu, “A speed guidance model accounting for the driver’s bounded rationality at a signalized intersection,” Phys. A Stat. Mech. its Appl., vol. 473, pp. 45–52, 2017.
[15] G. Njobelo et al., “Safety Evaluation of the Advanced Stop Assist System in Connected Vehicle Environment,” Transp. Res. Rec. J. Transp. Res. Board, 2018.
[16] R. Liao, X. Chen, L. Yu, and X. Sun, “Analysis of emission effects related to drivers’ compliance rates for cooperative vehicle-infrastructure system at signalized intersections,” Int. J. Environ. Res. Public Health, vol. 15, no. 1, 2018.
[17] N. Lu, N. Cheng, N. Zhang, X. Shen, and J. W. Mark, “Connected Vehicles: Solutions and Challenges,” IEEE Internet Things J., vol. 1, no. 4, pp. 289–299, 2014.
[18] A. Stevanovic, J. Stevanovic, and C. Kergaye, “Green Light Optimized Speed Advisory Systems Impact of Signal Phasing Information Accuracy,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2390, pp. 53–59, 2013.
[19] W. Wu, P. K. Li, and Y. Zhang, “Modelling and Simulation of Vehicle Speed Guidance in Connected Vehicle Environment,” Int. J. Simul. Model., vol. 14, no. 1, pp. 145–157, 2015.
[20] R. Stahlmann, M. Möller, A. Brauer, R. German, and D. Eckhoff, “Exploring GLOSA Systems in the Field: Technical Evaluation and Results,” Comput. Commun., vol. 120, no. April 2017, pp. 112–124, 2018.
[21] A. Olia, H. Abdelgawad, B. Abdulhai, and S. N. Razavi, “Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives,” J. Intell. Transp. Syst., vol. 20, no. 3, pp. 229–243, 2016.
[22] K. Katsaros, R. Kernchen, M. Dianati, and D. Rieck, “Performance study of a Green Light Optimized Speed Advisory (GLOSA) Application Using an Integrated Cooperative ITS Simulation Platform,” in Proc. 7th IWCMC, 2011, pp. 918–923.
[23] N. Wan, A. Vahidi, and A. Luckow, “Optimal Speed Advisory for Connected Vehicles in Arterial Roads and the Impact on Mixed Traffic,” Transp. Res. Part C Emerg. Technol., vol. 69, pp. 548–563, 2016.
[24] PTV VISSIM, “PTV Vissim 9 User Manual,” 2016.
[25] D. Eckhoff, B. Halmos, and R. German, “Potentials and Limitations of Green Light Optimal Speed Advisory Systems,” IEEE Veh. Netw. Conf. VNC, pp. 103–110, 2013.
Vol:13 No:04 2019Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007