Deterministic Propagation Modeling for Intelligent Vehicle Communication in Smart Cities.

Fausto Granda,Cesar Vargas-Rosales,Erik Aguirre,Leyre Azpilicueta,Pablo Medrano,Francisco Falcone,Jesus Villandangos,Peio Lopez-Iturri,Mikel Celaya-Echarri,Jose Astrain

doi:10.3390/s18072133

Abstract

Vehicular Ad Hoc Networks (VANETs) are envisaged to be a critical building block of Smart Cities and Intelligent Transportation System (ITS) where applications for pollution, congestion reduction, vehicle mobility improvement, accident prevention and safer roads are some of the VANETs expected benefits towards Intelligent Vehicle Communications. Although there is a significant research effort in Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) communication radio channel characterization, the use of a deterministic approach as a complement of theoretical and empirical models is required to understand more accurately the propagation phenomena in urban environments. In this work, a deterministic computational tool based on an in-house 3D Ray-Launching algorithm is used to represent and analyze large-scale and small-scale urban radio propagation phenomena, including vehicle movement effects on each of the multipath components. In addition, network parameters such as throughput, packet loss and jitter, have been obtained by means of a set of experimental measurements for different V2I and V2V links. Results show the impact of factors such as distance, frequency, location of antenna transmitters (TX), obstacles and vehicle speed. These results are useful for radio-planning Wireless Sensor Networks (WSNs) designers and deployment of urban Road Side Units (RSUs).

Highlights

IntroductionVehicle-to-Infrastructure (V2I) is the generation of Intelligent Transportation Systems (ITS)
Vehicle-to-Infrastructure (V2I) is the generation of Intelligent Transportation Systems (ITS).In this sense, Smart Cities must be able to take advantage of its applications and benefits on transportation operations according to main areas of research goals identified by the U.S Department of Transportation (U.S DOT): safety, mobility, efficiency, productivity, energy and environmental impacts, and customer satisfaction, offering to travelers more mobility options and access opportunities
The Received Signal Strength (RSS) data generated by 3D Ray-Launching (3D-RL) simulation is simulation is represented with a dotted line, while a Least Square (LS) fitting is represented with a represented with a dotted line, while a Least Square (LS) fitting is represented with a dashed line

Summary

Introduction

Vehicle-to-Infrastructure (V2I) is the generation of Intelligent Transportation Systems (ITS) In this sense, Smart Cities must be able to take advantage of its applications and benefits on transportation operations according to main areas of research goals identified by the U.S Department of Transportation (U.S DOT) (https://www.its.dot.gov): safety, mobility, efficiency, productivity, energy and environmental impacts, and customer satisfaction, offering to travelers more mobility options and access opportunities. Sensors 2018, 18, 2133 with the data from various sectors and sources to simultaneously power these technologies while leveraging the new information they provide These ITS technologies can be seen as a part of a holistic or wider mobility approach where some sustainable transportation strategies such as strengthening urban road construction, improving operational efficiency and private traffic restriction have been proposed as sustainable strategies for transportation development [2].

Methods

Results

Conclusion