Abstract
Increased vehicular traffic in dense urban areas is an issue of major concern. With more cars hitting the road, the inherent results are higher pollution levels and car accidents, shrinking of parking areas and severe traffic congestion. Attempts must be made to encourage the use of fewer cars. Switching to public transport and walking suggests an improvement. In this paper, we present a method to estimate the rate of daily vehicle usage in the city of Tirana. With the use of SUMO (Simulator of Urban Mobility) micro-traffic simulator we simulate the city traffic and evaluate the average traveling distances. Given a distance/time threshold, destinations within less-than-threshold range are considered of ease of reach. The existence of a direct bus line and by-foot traveling time are considered when setting the threshold value. Tracking data are used to provide average daily driving information. Statistic results demonstrate the effectiveness of the proposed method.
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References
Massot, M.-H., Armoogum, J.: Speed and car traffic regulation in urban areas – the case of Paris. IATSS Res. 27(2), 46–55 (2003)
Krajzewicz, D., Hertkorn, G., Wagner, P., Rössel, C.: SUMO (Simulation of Urban MObility) an open-source traffic simulation. In: 4th Middle East Symposium on Simulation and Modelling, pp. 1–4. SUMO. http://sumo.sourceforge.net/
OpenStreetMap. http://www.openstreetmap.org/
Daganzo, C.F.: Public Transportation Systems: Basic Principles of System Design, Operations Planning and Real-Time Control. Institute of Transportation Studies University of California, Berkeley, October 2010
Walker, J.: Basics: The Spacing of Stops and Stations - Human Transit, 5 November 2010
Dias, J.C., Abreu, P.H., Silva, D.C., Fernades, G., Machado, P., Leitao, A.: Preparing data for urban traffic simulation using SUMO, May 2013
U.S. Environmental Protection Agency (EPA), Office of Transportation and Air Quality: Greenhouse Gas Emissions from a Typical Passenger Vehicle, May 2004
Leduc, G.: Road Traffic Data: Collection Methods and Applications. Working Papers on Energy, Transport and Climate Change, no. 1 JRC 47967 (2008)
Ferman, M., Blumenfeld, D., Dai, X.: An analytical evaluation of a real-time traffic information system using probe vehicles. J. Intell. Transp. Syst. 9(1), 23–34 (2005)
Cheung, S.Y., Coleri, S., Dundar, B., Ganesh, S., Tan, C.-W., Varaiya, P.: Traffic measurement and vehicle classification with a single magnetic sensor California PATH Working Paper UCB-ITS-PWP-2004-7 California Partners for Advanced Transit and Highways, University of California, Berkeley. IEEE (2011)
Tao, S., Manolopoulos, V., Rodriguez, S., Rusu, A.: Real-Time Urban Traffic State estimation with A-GPS mobile phones as probes. J. Transp. Technol. 2(01), 22–31 (2012)
Toral, S.L., Gregor, D., Vargas, M., Barrero, F., Cortes, F.: Distributed urban traffic applications based on CORBA event services. Int. J. Space Based Situat. Comput. 1(1), 86–97 (2011). https://doi.org/10.1504/IJSSC.2011.039110
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Rakipi, A., Jorgji, J., Shahu, D. (2018). Reducing Excess Traffic in Urban Areas with Microscopic Traffic Modeling in SUMO. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_54
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DOI: https://doi.org/10.1007/978-3-319-75928-9_54
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