Assessment of Uncontrolled Intersections Through Calibration of VISSIM for Indian Traffic Conditions
The target of this study is to build up a VISSIM simulation model and align it to find out volume-to-capacity proportions of turning movements at uncontrolled intersections under Indian mixed traffic conditions. Driver and traffic behavior related parameters are adjusted after examination of the field information. The microscopic simulation outputs of the calibrated VISSIM model are contrasted with the field capacity values assessed from gap acceptance. Classified Movement volumes gathered at a four-legged uncontrolled intersection in the state of Maharashtra is utilized. Driver Behavior parameters (car-following, lane changing and lateral driving) are initially decided for homogeneous movement having one of the six classifications of vehicles considered in the stream and after that the outcomes are accumulated to get the estimations of these parameters for a mixed stream. Every single other factors and movement activities on every methodology are kept as steady. The calibrated VISSIM model is then used to decide capacities (volumes) by flooding a section at once for non-priority movements. Simulated volumes were obtained for each movements and turns after the 7th run. Gap acceptance capacity is calculated using HCM 2010 formula for the intersection. Volume-to-capacity ratio is used as the critical measure for assessing traffic flow operations within the intersection. After assessment through calibration it was found that the uncontrolled intersection is operating under low to moderate congestion (volume-to-capacity ratio less than 0.85) thus experiencing lesser service delays.
KeywordsCapacity Calibration Intersection Simulation Uncontrolled Volume-to-capacity ratio
This study has been conducted as a part of research works for academic benefits and the author would like to acknowledge and thank Prof. Gopal R. Patil (Associate Professor, IIT Bombay) for providing the video-graphic data required to complete this study.
- 1.Highway Capacity Manual: Transportation Research Board of the National Academics, Washington, D.C (2010)Google Scholar
- 2.Highway Capacity Manual: TRB. National Research Council, SR-204, Washington D.C. (1994)Google Scholar
- 3.Kimber, R., Coombe, R.D.: The Traffic Capacity of Major/minor Priority Junctions. Transport and Road Research Laboratory (TRRL), SR-582, Crow throne, Berkshire, England (1980)Google Scholar
- 4.Glue, A.W.: Vereinfachtes Verfahren Zur Berechung signalgeregelter Knotenpunkte. Forschung Strassenbau und Strassenverkehrstechnik, Bonn 136, 36–45 (1972)Google Scholar
- 5.Fellendorf, M., Vortisch, P.: Validation of the microscopic traffic flow model VISSIM in different real-world situations. In: 81st Annual Meeting of the Transportation Research Board, vol. 132, pp. 36–41, Washington D.C (2001)Google Scholar
- 6.Park, B., Schneeberger, J.D.: Microscopic simulation model calibration and validation: case study of VISSIM simulation model for a coordinated actuated signal system. Transp. Res. Rec. 2531, 185–192 (1856)Google Scholar
- 7.Leyn, U., Vortisch, P.: Calibrating VISSIM for the German highway capacity manual. In: 94th Annual Meeting of the Transportation Research Board, vol. 1209, pp. 123–127, Washington D.C (2014)Google Scholar
- 8.Viti, F., Wolput, B., Tampere, C.M.J., Vandervelden, P.: Dynamic modelling of VISSIM’s critical gap parameter at unsignalized intersections. Transp. Res. Rec. J. Transp. Res. Board 2395, 12–20 (2015). Washington D.C.Google Scholar
- 9.Siddharth S.M.P., Ramadurai, G.: Calibration of VISSIM for Indian heterogeneous traffic conditions. In: 2nd CTRG, Procedia: Social and Behavioural Science, vol. 104, pp. 380–389 (2013)Google Scholar
- 11.Sangole, J.K., Patil, G.R.: Modeling vehicle group gap acceptance at uncontrolled T-intersections in Indian traffic. In: 93rd Annual Meeting of TRB, vol. 1789, pp. 156–162, Washington D.C (2014)Google Scholar