Safe and Sound: Driver Safety-aware Vehicle Re-routing based on Spatiotemporal Information

Mariano de Souza, Allan; Braun, Torsten; Botega, Leonardo; Villas, Leandro A.; Loureiro, Antonio A. F. (2019). Safe and Sound: Driver Safety-aware Vehicle Re-routing based on Spatiotemporal Information. IEEE Transactions on Intelligent Transportation System, 21(9), pp. 3973-3989. IEEE Intelligent Transportation Systems Society 10.1109/TITS.2019.2958624

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Vehicular traffic re-routing is key to provide better vehicular mobility. However, considering just traffic-related information to recommend better routes for each vehicle is far from achieving the desired requirements of a good Traffic Management System, which intends to improve not only mobility but also driving experience and safety of drivers and passengers. Context-aware and multi-objective re-routing approaches will play an important role in traffic management. However, most of these approaches are deterministic and can not support the strict requirements of traffic management applications, since many vehicles potentially will take the same route, and, thus, degrade the overall traffic efficiency. In this work, we introduce Safe and Sound (SNS), a non-deterministic multi-objective re-routing approach for improving traffic efficiency and reduce public safety risks (based on criminal events) for drivers and passengers. SNS employs a hybrid architecture and a cooperative re-routing approach for improving system scalability and computation efforts. SNS uses a recurrent neural network to both predict future safety risks dynamics and enable a personalized re-routing in which each vehicle decides the risks it wants to avoid. Simulation results revealed that when compared to state-of-the-art approaches, SNS reduces the CPU time of the re-routing algorithm in approximately 99% and decreases the average safety risk for drivers and passengers in at least 30% while keeping efficient traffic mobility.

Item Type:	Journal Article (Review Article)
Division/Institute:	08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS) 08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor:	Mariano de Souza, Allan, Braun, Torsten
Subjects:	000 Computer science, knowledge & systems 500 Science > 510 Mathematics
ISSN:	1558-0016
Publisher:	IEEE Intelligent Transportation Systems Society
Language:	English
Submitter:	Dimitrios Xenakis
Date Deposited:	26 Apr 2019 10:41
Last Modified:	05 Dec 2022 15:28
Publisher DOI:	10.1109/TITS.2019.2958624
URI:	https://boris.unibe.ch/id/eprint/130332