Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge

Given the ongoing concerns on the emissions of greenhouse gases that contribute to global warming, the electric vehicle is considered as a promising technology solution for the reduction of these emissions in the transportation sector. Despite the numerous advantages of electric vehicles, the limite...

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Main Authors: Amal Alturiman, Maazen Alsabaan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8598702/
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author Amal Alturiman
Maazen Alsabaan
author_facet Amal Alturiman
Maazen Alsabaan
author_sort Amal Alturiman
collection DOAJ
description Given the ongoing concerns on the emissions of greenhouse gases that contribute to global warming, the electric vehicle is considered as a promising technology solution for the reduction of these emissions in the transportation sector. Despite the numerous advantages of electric vehicles, the limited driving range is one of the prominent drawbacks that need to be addressed. Since the driving range is related to the battery’s state of charge, which is, in turn, related to power consumption, there is a need to minimize the vehicle power consumption. Increased speeds and accelerations lead to a decrease of the state of charge. In this paper, we utilized vehicular networks that allow traffic light signals to communicate with approaching vehicles to avoid unnecessary high speeds and accelerations at an isolated intersection. This communication can be bidirectional, that is, from the vehicle to the traffic light signal, and vice versa. This enables the traffic light signal to adapt its green duration according to vehicular information and then send back its information to vehicles that in turn adapt their speeds based on the received information. We propose an optimization model that determines the optimum green duration and optimum vehicular speed, which ensures that the vehicle will cross the traffic light signal with maximum battery’s state of charge. The analytical results indicate that the proposed approach which is adaptive in both speed and traffic light signal can achieve an improvement of the state of charge compared to other two approaches, which are adaptive in either speed or traffic signal.
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spelling doaj.art-fd209af6eb6c44f4962a5222493c2d8b2022-12-22T03:18:00ZengIEEEIEEE Access2169-35362019-01-0178570858110.1109/ACCESS.2018.28900818598702Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of ChargeAmal Alturiman0Maazen Alsabaan1https://orcid.org/0000-0001-8601-3184Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaGiven the ongoing concerns on the emissions of greenhouse gases that contribute to global warming, the electric vehicle is considered as a promising technology solution for the reduction of these emissions in the transportation sector. Despite the numerous advantages of electric vehicles, the limited driving range is one of the prominent drawbacks that need to be addressed. Since the driving range is related to the battery’s state of charge, which is, in turn, related to power consumption, there is a need to minimize the vehicle power consumption. Increased speeds and accelerations lead to a decrease of the state of charge. In this paper, we utilized vehicular networks that allow traffic light signals to communicate with approaching vehicles to avoid unnecessary high speeds and accelerations at an isolated intersection. This communication can be bidirectional, that is, from the vehicle to the traffic light signal, and vice versa. This enables the traffic light signal to adapt its green duration according to vehicular information and then send back its information to vehicles that in turn adapt their speeds based on the received information. We propose an optimization model that determines the optimum green duration and optimum vehicular speed, which ensures that the vehicle will cross the traffic light signal with maximum battery’s state of charge. The analytical results indicate that the proposed approach which is adaptive in both speed and traffic light signal can achieve an improvement of the state of charge compared to other two approaches, which are adaptive in either speed or traffic signal.https://ieeexplore.ieee.org/document/8598702/Intelligent transportation systemselectric vehiclestate of chargepower consumptionvehicle-to-traffic light signal communicationtraffic light signal-to-vehicle communication
spellingShingle Amal Alturiman
Maazen Alsabaan
Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
IEEE Access
Intelligent transportation systems
electric vehicle
state of charge
power consumption
vehicle-to-traffic light signal communication
traffic light signal-to-vehicle communication
title Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
title_full Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
title_fullStr Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
title_full_unstemmed Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
title_short Impact of Two-Way Communication of Traffic Light Signal-to-Vehicle on the Electric Vehicle State of Charge
title_sort impact of two way communication of traffic light signal to vehicle on the electric vehicle state of charge
topic Intelligent transportation systems
electric vehicle
state of charge
power consumption
vehicle-to-traffic light signal communication
traffic light signal-to-vehicle communication
url https://ieeexplore.ieee.org/document/8598702/
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AT maazenalsabaan impactoftwowaycommunicationoftrafficlightsignaltovehicleontheelectricvehiclestateofcharge