Abstract

Vehicular traffic re-routing is the key to provide better traffic mobility. However, taking into account just traffic-related information to recommend better routes for each vehicle is far from achieving the desired requirements of proper transportation management. In this way, context-aware and multi-objective re-routing approaches will play an important role in traffic management. Yet, most procedures are deterministic and cannot support the strict requirements of traffic management applications, since many vehicles potentially will take the same route, consequently degrading overall traffic efficiency. So, we propose an efficient algorithm named as Better Safe Than Sorry (BSTS), based on Pareto-efficiency. 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.

Highlights

  • Vehicular traffic congestion is an emergent problem in many cities around the world

  • We propose Better Safe Than Sorry (BSTS) an Intelligent transportation systems (ITS) for vehicular traffic re-routing that considers both traffic conditions and public safety issues while employing a non-deterministic multi-objective routing algorithm to improve the traffic management

  • In earlier work [9] we proposed an Intelligent Transportation System for improving SAfety and traFfic Efficiency named as itsSAFE, which: (i) employs accurate knowledge about the traffic conditions and unsafe levels on roads; (ii) and use these data to suggests periodically alternative routes for all vehicles

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Summary

Introduction

Vehicular traffic congestion is an emergent problem in many cities around the world. Recent studies [11, 27] have shown that vehicular traffic re-routing is one of the key solutions to handle this problem, which is about suggesting alternative routes to improve the overall traffic efficiency. Considering only traffic-related information for computing better routes to vehicles is far from achieving the requirements of traffic management solutions [32]. In this sense, context-awareness will play an essential role in vehicular traffic re-routing, paving the way for improving vehicular traffic mobility, and other metrics that could not be achieved by just minimizing. A couple that has followed a route recommended by Waze got shot as they crossed a slum of Rio de Janeiro Brazil [7] Another case, occurred in Boston, USA, when a vehicle, guided by a VNS, crossed a gunfight [25]

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