Mariano de Souza, Allan; Braun, Torsten; Villas, Leandro A. (4 November 2018). Efficient Context-aware Vehicular Traffic Re-routing based on Pareto-Optimality: A Safe-Fast Use Case. In: Inteligent Transportation System Conference (ITSC). IEEE
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Vehicular traffic re-routing is the key to provide
better traffic 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. Yet, most
approaches are deterministic and can not support the strict
requirements of traffic management applications, since many
vehicles potentially will take the same route, consequently degrading
overall traffic efficiency. In this way, this work introduces
an efficient algorithm based on Pareto-optimality for dealing with
such problem. In addition, we focus on the improvement of traffic
mobility and public safety during the route recommendation.
Thus, methods for building pieces of knowledge about ongoing
traffic conditions and risky areas based on city-wide criminal
activities are presented. Simulation results have shown that our
proposal provides a better trade-off between mobility and safety
than state-of-the-art approaches and also avoids the problem of
potentially creating different congestion spots.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) 08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS) |
UniBE Contributor: |
Mariano de Souza, Allan, Braun, Torsten |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
Publisher: |
IEEE |
Language: |
English |
Submitter: |
Dimitrios Xenakis |
Date Deposited: |
09 Aug 2018 16:47 |
Last Modified: |
05 Dec 2022 15:17 |
BORIS DOI: |
10.7892/boris.119177 |
URI: |
https://boris.unibe.ch/id/eprint/119177 |
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