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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Efficient Context-Aware Vehicular Traffic Re-Routing Based on Pareto-Optimality: A Safe-Fast Use Case


    Contributors:


    Publication date :

    2018-11-01


    Size :

    1718433 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Efficient Pareto Optimality-based Task Scheduling for Vehicular Edge Computing

    Da Costa, Joahannes B. D. / de Souza, Allan M. / Rosario, Denis et al. | IEEE | 2022


    Developing a Context-Aware POI Network of Adaptive Vehicular Traffic Routing for Urban Logistics

    Ke, Chih-Kun / Lai, Szu-Cheng / Huang, Li-Te | Springer Verlag | 2019


    BETA: Beacon-Based Traffic-Aware Routing in Vehicular Ad Hoc Networks

    Liu, Ping / Wang, Xingfu / Hawbani, Ammar et al. | IEEE | 2022



    Context based vehicular traffic prediction

    WANG ZHI HU / ZHAO SHIWAN / LIU JING LAN et al. | European Patent Office | 2023

    Free access