JTTs  Vol.4 No.4 , October 2014
The Impact of Vehicular Networks on Urban Networks
Abstract: The objective of this paper is to study the impact of a vehicular network on a physical (road) network consisting of several intersections controlled by traffic lights. The vehicular network is considered to be a random graph superimposed on a regular Hamiltonian graph. The two graphs are connected by hyperlinks. The evolution of traffic at intersections given the existence of vehicular networks is measured by the method of reflective triangles.
Cite this paper: Khoshyaran, M. (2014) The Impact of Vehicular Networks on Urban Networks. Journal of Transportation Technologies, 4, 303-314. doi: 10.4236/jtts.2014.44027.

[1]   Bollobas, B. and Erdos, P. (1976) Cliques in Random Graphs. Mathematical Proceedings of the Cambridge Philosophical Society, 80, 419-427.

[2]   Bollobas, B. (2000) Modern Graph Theory. Springer, Berlin.

[3]   Nicollier, G. (2013) Convolution Filters for Triangles. Forum Geometricorum, 13, 61-85.

[4]   Ismailescu, D. and Jacobs, J. (2006) On Sequences of Nested Triangles. Periodica Mathematica Hungarica, 53, 169-184.

[5]   van IJzeren, J. (1984) Driehoeken met gegeven spiegelpuntsdriehoek. EUI Report, 84-WSK-03, 356-373.

[6]   Cayford, R. and Johnson, T. (2003) Operational Parameters Affecting the Use of Anonymous Cell Phone Tracking for Generating Traffic Information. Transportation Research Board Annual Meeting, Technical Report, Washington DC.

[7]   Hartenstein, H., Bochow, B., Ebner, A., Lott, M., Radimirisch, M. and Vollmer, D. (2001) Position-Aware Ad Hoc Wireless Networks for Inter-Vehicle Communications: The Fleetnet Project. Proceedings of the Second ACM International Symposium on Mobile and Ad Hoc Networking and Computing (MobiHoc01), Long Beach, 4-5 October 2001, 259-262.

[8]   Gonzalez, M.C., et al. (2008) Understanding Individual Human Mobility Patterns. Nature, 453, 779-782.

[9]   Bando, M., Hasebe, K., Nakayama, A., Shibata, A. and Sugiyama, Y. (1995) Dynamical Model of Traffic Congestion and Numerical Simulation. Physical Review, 51, 1035-1042.

[10]   Hsiao, W.C.M. and Chang, S.K.J. (2005) Segment Based Traffic Information Estimation Method Using Cellular Network Data. IEEE Intelligent Transportation Systems Conference, Vienna, 13-15 September 2005, 142-147.

[11]   Gundlegard, D. and Karlsson, J. (2006) Generating Road Traffic Information from Cellular Networks—New Possibilities in UMTS. Proceedings of the 6th International Conference on ITS Telecommunications, Chengdu, 21-23 June 2006, 1128-1133.

[12]   Lochert, C., Hartenstein, H., Tian, J., Füßler, H., Hermann, D. and Mauve, M. (2000) A Routing Strategy for Vehicular Ad Hoc Networks in City Environments. Project Report, within the Framework of the FleetNet Project as Part of BMBF Contract No. 01AK025D and Support from EU IST Project CarTalk (IST-2000-28185).

[13]   Leontiadis, I. and Mascolo, C. (2007) GeOpps: Geographical Opportunistic Routing for Vehicular Networks. Project report EPSRC through Project Cream. IEEE International Symposium, Espoo, 24-28 June 2007, 1-6.

[14]   Chaudhary, N.A., Kovvali, V.G. and Alam, S.M. (2002) Guidelines for Selecting Signal Timing Software. Product 0-4020-P2. Texas Transportation Institute, College Station.

[15]   Lobiya, N. and Lobiya, D.K. (2012) Performance Evaluation of Realistic Vanet Using Traffic Light Scenario. International Journal of Wireless and Mobile Networks (IJWMN), 4, 237.

[16]   Nakamura, H. and Oguiso, K. (2003) Elementary Moduli Space of Triangles and Iterative Process. Journal of Mathematical Science, 10, 209-224.