A New Distributed Predictive Congestion Aware Re-Routing Algorithm for CO2 Emissions Reduction

• Published in: IEEE transactions on vehicular technology Vol. 68; no. 5; pp. 4419 - 4433
• Main Authors: Santamaria, Amilcare Francesco, Fazio, Peppino, Raimondo, Pierfrancesco, Tropea, Mauro, De Rango, Floriano
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access control; Ad hoc networks; Air pollution; Algorithms; Carbon dioxide; CO<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> _2</tex-math> </inline-formula> </named-content> emissions; Computer simulation; congestion; dedicate Short Range Communication (DSRC); Driving; IEEE 802.11p; Mobile ad hoc networks; Optimization; predictive re-routing; Protocols; Reduction; Roads; Roadsides; Traffic congestion; traffic flow; VANET; Vehicles; wireless access for vehicular environment (WAVE); Wireless communication; Wireless communications; Wireless networks
• ISSN: 0018-9545; 1939-9359; 1939-9359
• DOI: 10.1109/TVT.2019.2905753

In the last years, vehicular networking has grown up in terms of interest and transmission capability, due to the possibility of exploiting the distributed communication paradigm in a mobile scenario, where moving nodes are represented by vehicles. The different existing standards for vehicular ad-hoc networks, such as dedicate short range communication (DSRC), wireless access for vehicular environment (WAVE)/IEEE802.11p, have given to the research community the possibility of developing new medium access control (MAC) and routing schemes, in order to enhance the quality and the comfort of mobile users who are driving their vehicles. In this paper, we focus our attention on the optimization of traffic flowing in a vehicular environment with vehicle-2-roadside capability. As shown later, the proposed idea exploits the information that is gathered by road-side units to redirect traffic flows (in terms of vehicles) to less congested roads, with an overall system optimization, also in terms of carbon dioxide emissions reduction. An analytical model, as well as a set of pseudo-code instructions, have been introduced in the paper. A deep campaign of simulations has been carried out to give more effectiveness to our proposal.