Evaluation of car-following models using field data

Al-Jameel, HAE 2010, Evaluation of car-following models using field data , in: SPARC, 2010, Salford University. (Unpublished)

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Traffic congestion problems have been recognised as a serious problem in all large urban areas. It significantly reduces in urban mobility. Therefore, it has become a major concern to the transportation and business community and to the public in general. Different techniques have been proposed to alleviate this problem. One of these is Traffic simulation technique. It has been used effectively because they can represent real life, to some extent, and apply different strategies without the need to make physical change on site before implementing such strategies. Car-following models represent the basic unit that governs the longitudinal movement for each traffic simulation model. The efficiency of a traffic simulation model does mainly depend on its core units: car-following and lane changing. In this study, three car-following models (namely, CARSIM, WEAVSIM and PARAMICS) were tested. The first two of these models were rebuilt using Visual Compact FORTRAN Version 6.5. The models were tested using three different sets of data from single lane traffic. These sets of data have been collected using two different methods of collecting data from three regions. In addition, different traffic conditions have been included in this data such as high speed, low speed and “stop and go conditions”. The results indicated that CARSIM gave the most accurate representation of real life situations. Therefore, the assumptions of this model were adopted in a newly developed model to represent traffic behaviour in weaving sections to evaluate the factors affecting the weaving capacity.

Item Type: Conference or Workshop Item (Paper)
Themes: Subjects / Themes > T Technology > T Technology (General)
Subjects outside of the University Themes
Schools: Schools > School of Computing, Science and Engineering
Refereed: Yes
Depositing User: HAE Al-Jameel
Date Deposited: 19 Oct 2010 14:25
Last Modified: 16 Feb 2022 10:18
References: Al-Jameel, H.A. (2009) Examining and Improving the Limitations of the Gazis-Herman-Rothery Car-following Model. SPARC 2009, University of Salford. Aycin, M.F. and Benekohal, R.F. (2000) Analysis of Stability and Performance of Car Following Models in Congested Traffic. Proceedings of the 79th Annual meeting of the Transportation Research Board, January, Washington DC, USA. Benekohal, R.F., and Treiterer (1988) CARSIM: Car-following Model for Simulation of Traffic in Normal and Stop –and –go Conditions. Transportation Research Record 1194, Washington, D.C. Brackstone, M. and McDonald, M. (1999) Car-following: a historical review. Transportation Research Part F, Vol. 2, pp. 181-196. Choudhury, C.F. (2007) Modelling Driving Decision with Latent Plans. PhD thesis, Massachusetts Institute of Technology, USA. Gipps, P.G. (1981) A Behavioural Car-Following Model for Computer Simulation. Transportation Research Part B, Vol.15, pp.105-111. Iqbal, M.S. (1994) Analytical and Simulation Model of Weaving Area Operations Under Non-Freeway Conditions. PhD dissertation, New Jersey Institute of Technology, USA. Kim, T. (2005) Analysis of Variability Car-following Behaviour over Long-term Driving Manoeuvres .PhD thesis, University of Maryland. Olstam, J.J. and Tapani, A. (2004) Comparison of Car-following Models. Swedish National road and Transport Research Institute. Panwai, S. and Dia, H. (2005) Comparative Evaluation of Microscopic Car-Following Behaviour. IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 3, pp. 314-325. Pipes, L. A. (1967) Car Following Models and the Fundamental Diagram of Road Traffic. Transportation Research, Vol.1, pp.21-29. Yousif, S.Y. (1993) Effect of Lane Changing on Traffic Operation for Dual Carriageway Roads with Road Works. PhD thesis, University of Cardiff, Wales, United Kingdom. Zarean, M. (1987) Development of a Simulation Model for Freeway Weaving Sections. PhD dissertation, the Ohio State University, USA.
URI: https://usir.salford.ac.uk/id/eprint/11161

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