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14.5 Conclusions
Over the past few years, GPS-based vehicle navigation systems have received
great interest and have been employed by more and more drivers. It can be
expected that, in the near future, a vehicle navigation system will become an
indispensable piece of equipment for drivers. Most current vehicle naviga-
tion systems use static routing algorithm without considering the real-time
traffic information of roadways. Only a few navigation systems consider lit-
tle real-time traffic information in making route decisions. By little real-time
traffic information, we mean that only the traffic information of highways
and some important trunk roads are taken into account. To implement an
accurate and complete real-time vehicle navigation system, we can make use
of a new network technology, VANET, to collect real-time traffic information
of all roadways and to deliver the routing information to all guided vehicles.
Currently, many VANET-based applications have been rapidly developed,
such as emergency warning system for vehicles, intersection collision avoid-
ance, and cooperative adaptive cruise control. It is reasonable to anticipate
that VANET-based vehicle navigation systems will be turned into reality in
the near future. In this chapter, we discussed the design principles of two
types of VANET-based navigation systems: V2R-based and V2V-based. The
two types of systems have been the subject of much research in the past few
years. Due to the two types of approaches have their own advantages and
disadvantages, it is important to develop a hybrid architecture that can com-
bine their advantages, which still remains an open research issue that needs
more investigation.
References
1. Bose, A. and Ioannou, P. 1998. Evaluation of mixed semiautomated manual traf-
fic. In Proc. of IEEE International Conference on Control Applications, vol. 2,
868-72, Trieste, Italy.
2. Ding, J. W., Meng, F. H., and Huang, Y. M. 2008. A real-time vehicle guidance
system using P2P communication. In Proc. of IEEE First International Con-
ference on Ubi-media Computing, 225-30, Lanzhou.
3. Ergen, M. and Varaiya, P. 2005. Throughput analysis and admission control for
IEEE 802.11a. Mobile Networks and Applications 10 (5): 705-16.
4. Hartenstein, H. and Laberteaux, K. P. 2008. A tutorial survey on vehicular ad
hoc networks. IEEE Communications Magazine 46 (6): 164-71.
5. Jerbi, M., Senouci, S. M., Rasheed, T., and Ghamri-Doudane, Y. 2007. An
infrastructure-free traffic information system for vehicular networks. In Proc. of
IEEE 66th Conference on Vehicular Technology, 2086-90, Baltimore, MD.
 
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