A Smart Algorithm for CO2 Emissions Reduction on Realistic Traffic Scenarios Exploiting VANET Architecture

In this paper, a smart vehicular traffic management through Vehicular Ad-hoc NETworks (VANETs) infrastructure and communications (V2I and V2V) is propose. A distributed algorithm called SeaWave with the aim to build less congested path for the vehicles in

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[email protected], [email protected] 2 University of Trieste, Piazzale Europa, 1, 34127 Trieste, FVG, Italy [email protected]

Abstract. In this paper, a smart vehicular traffic management through Vehicular Ad-hoc NETworks (VANETs) infrastructure and communications (V2I and V2V) is propose. A distributed algorithm called SeaWave with the aim to build less congested path for the vehicles in a urban scenario has been developed. It is also considered the problem regarding to enhance air quality around the cities reducing the vehicles CO2 emissions. There are different causes related to the CO2 emissions such as the average travelled time spent by vehicles inside the city and their average speed. Hence, with a better traffic management the average time spent by the vehicles in the city will be considerably reduced as well as CO2 emissions. These results are demonstrated in a discrete events simulator by using real traffic data. In particular, we used a congested scenario related a morning peak hour for the Bologna’s City. Keywords: VANET · CO2 emission · Smart algorithm

1 Introduction Nowadays, the problems of the CO2 emissions and the high traffic situations in the cities, are very faced by the research communities. The main aim is to exploit the ICT infrastructures to increase air quality in the cities and also to reduce the vehicular traffic. In this work, we focused mainly to VANETs architecture [1], by exploiting the vehicleto-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), in order to know in real-time manner, the traffic condition of the city [2]. The advantages that we can attribute to vehicular networks are related to the nature of the 802.11p standard, because it was developed to ensure reliable communications in vehicular mobility scenarios where the channel plays an important role [3, 4]. V2V communication consists of a wireless network that enables vehicles to exchange message, that in case of electrical devices have to consider energy consumption [5, 6]. The data being exchanged include speed, location, direction of travel, braking and loss of stability. The vehicular communication can also take advantage from new technologies such as opportunistic © Springer Nature Switzerland AG 2020 A. Dziech et al. (Eds.): MCSS 2020, CCIS 1284, pp. 112–124, 2020. https://doi.org/10.1007/978-3-030-59000-0_9

A Smart Algorithm for CO2 Emissions Reduction on Realistic Traffic Scenarios

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approach or delay tolerant network [7, 8]. V2V technology uses dedicated short-range communication (DSRC) [9]. The range is approximate up to 450 m and the supported topology is a mesh network. Thus, every node could send, capture and retransmit signal and the emergency vehicle sends a message to all other vehicles and warns them to make a way [10]. V2I communication enables data transmission between vehicles and road infrastructure using wireless technology [11]. Data from vehicles contain speed of the vehicles, position of the vehicle etc. data from infrastructure contains congesti