Intelligent Transportation Systems – Models, Challenges, Security Aspects

Author:

Kołodziej JoannaORCID,Hopmann Cornelio,Coppa Giovanni,Grzonka DanielORCID,Widłak AdrianORCID

Abstract

AbstractAs cars and other transportation devices become increasingly interconnected, mobility takes on a new meaning, offering new opportunities. The integration of new communications technologies in modern vehicles has generated an enormous variety of data from various communications sources. Hence, there is a demand for intelligent transportation systems that can provide safe and reliable transportation while maintaining environmental conditions such as pollution, CO2 emission, and energy consumption. This chapter provides an overview of the Intelligent Transportation Systems (ITS) models. Briefly, it discusses the most important features of the systems and challenges, mostly related to the security in data and information processing. Fast anomalies detection and prevention of external attacks may help solve the problems of traffic congestion and road safety to prevent accidents. The chapter contains the description of the realistic Smart Transportation System developed by the Wobcom company and implemented in Wolfsburg (Germany). That system is also used for practical validation of the security service components of the platform created in the GUARD project.

Publisher

Springer International Publishing

Reference57 articles.

1. Osterwalder, A., Pigneur, Y.: An e-business model ontology for modelling e-business. In: Bled 2002 Proceedings, Paper 2: Bled, Slovenia (2002)

2. Giannoutakis, K., Li, F.: Developing sustainable e-business models for intelligent transportation systems (ITS). In: Proceedings of the 11th Conference on e-Business, e-Services, and e-Society (I3E), Kaunas, Lithuani, pp. 200–211 (2011)

3. Baby, S., Al-Sarawi, M.A.: Traffic environmental assessment studies for township re-development: present status and future prediction. In: Proceedings of the International Conference on Biology, Environment and Chemistry, vol. 1, IACSIT Press, Singapore (2011)

4. Xu, Y., Kong, Q. J., Lin, S., Liu, Y.: Urban traffic flow prediction based on road network model. In: Proceedings of the 9th IEEE International Conference on Networking, Sensing and Control (ICNSC), pp. 334–339 (2012)

5. Jin, W.L.: A link queue model of network traffic (2012)

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