Insights on metropolitan-scale vehicular mobility from a networking perspective

The management of mobility is commonly regarded as one of the most critical issues in large-scale telecommunication networks. The problem is exacerbated when considering vehicular mobility, which is characterized by road-constrained movements, high speeds, sudden changes of movement direction and acceleration, and significant variations of these dynamics over daytime. The understanding of the properties of car movement patterns becomes then paramount to the design and evaluation of network solutions aimed at vehicular environments. In this paper, we analyze a synthetic representation of road traffic in the metropolitan area of Cologne, Germany, during 24 hours of a typical working day. We extract features of interest from a networking viewpoint, and discuss their impact on the deployment and dimensioning of communication systems for road scenarios.

[1]  Marco Fiore,et al.  Cooperative download in urban vehicular networks , 2009, 2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems.

[2]  Claudio Casetti,et al.  Planning roadside infrastructure for information dissemination in intelligent transportation systems , 2010, Comput. Commun..

[3]  C. Gawron,et al.  An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model , 1998 .

[4]  Daniel Krajzewicz Kombination von taktischen und strategischen Einflüssen in einer mikroskopischen Verkehrsflusssimulation , 2009 .

[5]  Marco Fiore,et al.  Large-scale urban vehicular mobility for networking research , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[6]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[7]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[8]  Djamal Zeghlache,et al.  Effect of cell residence time distribution on the performance of cellular mobile networks , 1997, 1997 IEEE 47th Vehicular Technology Conference. Technology in Motion.

[9]  P. Wagner,et al.  Metastable states in a microscopic model of traffic flow , 1997 .

[10]  Christian Varschen,et al.  Mikroskopische Modellierung der Personenverkehrsnachfrage auf Basis von Zeitverwendungstagebüchern , 2006 .

[11]  Prasun Sinha,et al.  Maximizing the Contact Opportunity for Vehicular Internet Access , 2010, 2010 Proceedings IEEE INFOCOM.

[12]  Marco Fiore,et al.  The networking shape of vehicular mobility , 2008, MobiHoc '08.

[13]  Ozan K. Tonguz,et al.  Dynamics of Network Connectivity in Urban Vehicular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[14]  Chunming Qiao,et al.  MoPADS: A Mobility Profile Aided File Downloading Service in Vehicular Networks , 2009, IEEE Transactions on Vehicular Technology.