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Title	Challenges And Algorithms For Connected And Autonomous Vehicle Safety And Mobility In Smart Cities
ID_Doc	13644
Authors	Eskandarian A.; Mehr G.; Nayak A.; Shang X.
Year	2024
Published	Springer Tracts on Transportation and Traffic, 21
DOI	http://dx.doi.org/10.1007/978-3-031-64769-7_9
Abstract	Connected vehicles can enhance safety by enabling real-time communication between vehicles and infrastructure, alerting drivers to potential hazards, and improving situational awareness. This technology also benefits vulnerable road users and reduces the economic burden of traffic incidents. In this chapter, we take a look at various challenges facing connected autonomous vehicles and proposed algorithms to address those challenges and enhance vehicle safety and mobility in smart cities. Specifically, cooperative adaptive cruise control subject to temporary communication or target detection loss; connected lane-change advance warning systems for improving traffic flow; probabilistic trajectory forecasting for vulnerable road users, especially pedestrians; and, finally, approaches to collision avoidance and mitigation for autonomous vehicles. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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