10.7892/BORIS.119177
Mariano de Souza, Allan
Braun, Torsten
Villas, Leandro A.
Efficient Context-aware Vehicular Traffic Re-routing based on Pareto-Optimality: A Safe-Fast Use Case
IEEE
2018
000 Computer science, knowledge & systems
510 Mathematics
2018-11-04
eng
application/pdf
info:eu-repo/semantics/restrictedAccess
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.