Article
OPTIMIZATION OF LINEAR TRAFFIC DISTRIBUTION PROBLEM IN TERMS OF THE ROAD TOLL STRUCTURE ASSUMING AN AUTONOMOUS TRANSPORTATION SYSTEM
DOI: 10.7708/ijtte.2018.8(1).08
8 / 1 / 112-124 Pages
Author(s)
Ãrpád Török - Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Hungary -
Abstract
The aim of our research was to elaborate the framework and solution process of the optimization of the linear traffic distribution problem based on the road toll structure, assuming an intelligent and autonomous transportation system. In this article, framework of the problem has been defined based on a linear programming approach, applying pre-defined demand structure and network characteristics. Traffic volume values of the network have been estimated and distributed as a function of the road toll structure, considering the costs of the routes as variables. Applicability of the model has been proved on a simplified example. Based on the results of the research, optimal static solution of the traffic distribution problem can be determined in a given sample time period by modifying the road toll system, based on pre-defined conditions.
Number of downloads: 1218
References:
Ansari, S.; BaÅŸdere, M.; Li, X.; Ouyang, Y.; Smilowitz, K. 2017. Advancements in continuous approximation models for logistics and transportation systems: 1996–2016, Transportation Research Part B: Methodological 107: 229-252. DOI: https://doi.org/10.1016/j.trb.2017.09.019
Apronti, D.; Ksaibati, K.; Gerow, K.; Hepner, J.J. 2016. Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods, Journal of Traffic and Transportation Engineering (English Edition) 3(6): 493-506. DOI: https://doi.org/10.1016/j.jtte.2016.02.004
Cavone, G.; Dotoli M.; Epicoco, N.; Seatzu, C. 2017. A decision making procedure for robust train rescheduling based on mixed integer linear programming and Data Envelopment Analysis, Applied Mathematical Modelling 52: 255-273. DOI: https://doi.org/10.1016/j.apm.2017.07.030
Hu, T.C.; Kahng, A.B. 2016. Linear and Integer Programming Made Easy. Springer International Publishing, Switzerland. 141 p. DOI: 10.1007/978-3-319-24001-5
Kumar, P.; Rosenberger, J.M.; Iqbal G.M.D. 2016. Mixed integer linear programming approaches for land use planning that limit urban sprawl, Computers & Industrial Engineering 102: 33-43. DOI: https://doi.org/10.1016/j.cie.2016.10.007
Kurczveil, T.; Becker, I.U. 2016. Optimization of novel charging infrastructures using linear programming, IFAC-PapersOnLine 49(3): 227-230. DOI: https://doi.org/10.1016/j.ifacol.2016.07.038
Ma, J.; Li, X.; Zhou, F.; Hao, W. 2017. Designing optimal autonomous vehicle sharing and reservation systems: A linear programming approach, Transportation Research Part C: Emerging Technologies 84: 124-141. DOI: https://doi.org/10.1016/j.trc.2017.08.022
Ma, W.; Qian, Z.S. 2017. On the variance of recurrent traffic flow for statistical traffic assignment, Transportation Research Part C: Emerging Technologies 81: 57-82. DOI: https://doi.org/10.1016/j.trc.2017.05.009
Pauer, G.; Török, Á. 2017. Static system optimum of linear traffic distribution problem assuming an intelligent and autonomous transportation system (under publication), Periodica Polytechnica Transportation Engineering.
PÅ™ibyl, O.; Svítek, M. 2015. System-oriented Approach to Smart Cities. In Proceedings of the 1st IEEE International Smart Cities Conference, Guadalajara, Mexico, 1-8. DOI: 10.1109/ISC2.2015.7428760
Ryu, S.; Chen, A.; Choi, K. 2017. Solving the combined modal split and traffic assignment problem with two types of transit impedance function, European Journal of Operational Research 257(3): 870-880. DOI: https://doi.org/10.1016/j.ejor.2016.08.019
Yakimov, M. 2017. Optimal Models used to Provide Urban Transport Systems Efficiency and Safety, Transportation Research Procedia 20: 702-708. DOI: https://doi.org/10.1016/j.trpro.2017.01.114
Yang X.S. 2016. Engineering Mathematics with Examples and Applications. Academic Press, 400 p. ISBN: 978-0-12-809730-4.
Quoted IJTTE Works
There is no quoted studies.
Related Keywords