DIFTOS: A Distributed Infrastructure-Free Traffic Optimization System Based on Vehicular Ad Hoc Networks for Urban Environments

Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has to perform intensive communication and computational tasks. Secondly unpredictability: they use smartphones and other sensors to detect the congested roads and warn upcoming vehicles accordingly. In other words, they are used to solve the problem rather than avoiding it. Lastly, infrastructure dependency: they assume the presence of pre-installed infrastructures such as roadside unit (RSU) or cellular 3G/4G networks. Motivated by the above-mentioned reasons, in this paper, we proposed a fully distributed and infrastructure-less congestion avoidance and traffic optimization system for VANET (Vehicular Ad-hoc Networks) in urban environments named DIFTOS (Distributed Infrastructure-Free Traffic Optimization System), in which the city map is divided into a hierarchy of servers. The vehicles that are located in the busy road intersections play the role of servers, thus DIFTOS does not rely on any centralized server and does not need internet connectivity or RSU or any kind of infrastructure. As far as we know, in the literature of congestion avoidance using VANET, DIFTOS is the first completely infrastructure-free congestion avoidance system. The effectiveness and scalability of DIFTOS have been proved by simulation under different traffic conditions.

[1]  Elhassania Messaoud,et al.  The green dynamic vehicle routing problem in sustainable transport , 2018, 2018 4th International Conference on Logistics Operations Management (GOL).

[2]  Daniel Gutiérrez-Reina,et al.  An evaluation methodology for reliable simulation based studies of routing protocols in VANETs , 2016, Simul. Model. Pract. Theory.

[3]  Hesham El-Sayed,et al.  Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier , 2018, Sensors.

[4]  Yunju Baek,et al.  Design and Implementation of Real-Time Vehicular Camera for Driver Assistance and Traffic Congestion Estimation , 2015, Sensors.

[5]  Cristian Borcea,et al.  DIVERT: A Distributed Vehicular Traffic Re-Routing System for Congestion Avoidance , 2017, IEEE Transactions on Mobile Computing.

[6]  Christoph Sommer,et al.  Veins: The Open Source Vehicular Network Simulation Framework , 2019, Recent Advances in Network Simulation.

[7]  Minglu Li,et al.  A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles , 2013, IEEE Transactions on Mobile Computing.

[8]  Jennifer McManis,et al.  Next Road Rerouting: A Multiagent System for Mitigating Unexpected Urban Traffic Congestion , 2016, IEEE Transactions on Intelligent Transportation Systems.

[9]  Yezid Donoso,et al.  Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT , 2015, Sensors.

[10]  Floriano De Rango,et al.  Vehicular Networks and Road Safety: an Application for Emergency/Danger Situations Management Using the WAVE/802.11p Standard , 2013 .

[11]  Jinho Lee,et al.  SAINT+: Self-Adaptive Interactive Navigation Tool+ for Emergency Service Delivery Optimization , 2018, IEEE Transactions on Intelligent Transportation Systems.

[12]  Jaehoon Jeong,et al.  SAINT: Self-Adaptive Interactive Navigation Tool for Cloud-Based Vehicular Traffic Optimization , 2016, IEEE Transactions on Vehicular Technology.

[13]  Floriano De Rango,et al.  Managing Emergency Situations in VANET Through Heterogeneous Technologies Cooperation , 2018, Sensors.

[14]  Surapa Thiemjarus,et al.  Verifying Safety Messages Using Relative-Time and Zone Priority in Vehicular Ad Hoc Networks , 2018, Sensors.

[15]  Carlos García-Rubio,et al.  A Bandwidth-Efficient Dissemination Scheme of Non-Safety Information in Urban VANETs † , 2016, Sensors.

[16]  Ratna Babu Chinnam,et al.  Dynamic routing under recurrent and non-recurrent congestion using real-time ITS information , 2012, Comput. Oper. Res..

[17]  José López Vicario,et al.  Autonomous Car Parking System through a Cooperative Vehicular Positioning Network , 2017, Sensors.

[18]  Francesc Soriguera,et al.  Estimation of traffic stream space mean speed from time aggregations of double loop detector data , 2011 .

[19]  Andrea Baiocchi,et al.  Design and Analysis of A Beacon-Less Routing Protocol for Large Volume Content Dissemination in Vehicular Ad Hoc Networks , 2016, Sensors.

[20]  Xuemin Shen,et al.  Real-Time Path Planning Based on Hybrid-VANET-Enhanced Transportation System , 2015, IEEE Transactions on Vehicular Technology.

[21]  Houbing Song,et al.  Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS) , 2018, Sensors.

[22]  Li-Shiuan Peh,et al.  RoadRunner: Infrastructure-less vehicular congestion control , 2014 .