Abstract
Intelligent transportation systems (ITS) are state-of-the-art applications to improve the transportation safety and mobility, as well as move towards an environmentally friendly system. ITS plays a pivotal role in future smart cities in terms of providing the users with more informed, safer, more secured, and cost-effective transportation system. To this end, ITS takes advantage of modern technologies including communication infrastructure to enable efficient data transfer among smart agents, advanced computational methods to deal with large-scale optimization problems, autonomous vehicles, electrified vehicles, connected vehicles, and intelligent traffic signals.
In this chapter, we provide a comprehensive overview of some ITS technologies. Some of the recent methods to enable these technologies are introduced to pave the road for future researchers working in this area. To provide readers with case examples of ITS, two connected vehicle applications are elaborated in this chapter: queue warning and automatic incident detection. Queue warning systems are designed to inform the drivers about the back-of-queue (BOQ) location so that they brake safely and in a timely manner. An automatic incident detection (AID) system aims to detect incident occurrence automatically utilizing traffic data such as speed, volume, and occupancy.
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Khazraeian, S., Hadi, M. (2019). Intelligent Transportation Systems in Future Smart Cities. In: Amini, M., Boroojeni, K., Iyengar, S., Pardalos, P., Blaabjerg, F., Madni, A. (eds) Sustainable Interdependent Networks II. Studies in Systems, Decision and Control, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-319-98923-5_6
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