Abstract
The growing advancement in the features of microsimulation models has encouraged their use in transportation engineering and planning. Traffic simulation models are a practical approach to analyse traffic operations. Traffic simulation models allow visualizing the existing or future traffic conditions and test strategies that would be difficult or impossible in roadway conditions. They also used to evaluate corridor improvement measures. The main objective of this study is to make improvements in the study corridor such that traffic congestion is relieved. The study aims to evaluate the present traffic conditions in the study corridor by using the microsimulation tool VISSIM. Data collection was done in the planning area which was used as input for the software. The corridor was first evaluated based on the present traffic conditions. After proper calibration, by considering average travel time as the calibrating parameter, the corridor was evaluated again by coordinating the signals along the corridor. Three different signal plans were done for signal coordination. The evaluation was done in terms of queue length, travel time and delay at intersections. All the three signal plans showed better results as compared to the present field condition.
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References
Parikh RI (2006) Effectiveness of signal coordination as an emission reduction measure for vehicles. M. S. Thesis, University of Texas, Arlington
Stevanovic AZ, Martin PT (2008) Assessment of the suitability of microsimulation as a tool for the evaluation of macroscopically optimized traffic signal timings. J Transp Eng 134(2):59–67
Stevanovic A, Martin PT (2008) Split-cycle offset optimization technique and coordinated actuated traffic control evaluated through microsimulation. Transp Res Rec: J Transp Res Board 2080(1):48–56
Ofosu K (2008) Traffic signal retiming study for Babcock street and Malabar road. Growth Management Department, Babcock, Palm Bay
Park B, Chen Y (2010) Quantifying the benefits of coordinated actuated traffic signal systems: a case study. Virginia Transport Research Council, Virginia
Gomes G, May A, Horowitz R (2004) Congested freeway microsimulation model using VISSIM. Transp Res Rec: J Transp Res Board 1876:71–81
Doina KSY, Chin HC (2007) Traffic simulation modeling: VISSIM. Undergraduate research opportunity project (UROP), National University of Singapore, Queenstown, Singapore
Zhizhou W, Jian S, Xiaoguang Y (2005) Calibration of VISSIM for shanghai expressway using genetic algorithm. Proceedings of the winter simulation conference, China, pp 2645–2648
Jie L, Fangfang Z, Zuylenb H, Shoufeng L (2011) Calibration of a microsimulation program for a Chinese city. Procedia Soc Behav Sci 20:263–272
Patel KM, Varia HR, Gundaliya PJ (2011) A methodology of signal coordination at network level. In: Proceedings of national conference on recent trends in engineering & technology, Gujarat, India
Cunningham A, Archer J (2003) Modelling the combined motorway and urban traffic conditions in the Norrtull-Brunnsviken network using VISSIM. Centre for Traffic Simulation Research, Royal Institute of Technology (KTH), Stockholm, Sweden
Woody T (2012) Calibrating freeway simulation models in VISSIM. M.S. Thesis, University of Washington, Seattle
Manjunatha P, Vortisch P (2012) Methodology for the calibration of VISSIM in mixed traffic. Transportation research board annual meeting
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Imran, N.T., Nayyer, M.I. (2020). Signal Coordination in Transportation Engineering by Using Microsimulation Tool. In: Kanwar, V., Shukla, S. (eds) Sustainable Civil Engineering Practices. Lecture Notes in Civil Engineering, vol 72. Springer, Singapore. https://doi.org/10.1007/978-981-15-3677-9_12
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DOI: https://doi.org/10.1007/978-981-15-3677-9_12
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