Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon

Cooperative automated driving technology has emerged as a potential way to increase the efficiency of transportation systems and enhance traffic safety by allowing vehicles to exchange relevant information via wireless communication. Truck platooning utilizes this technology and achieves synchronize...

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Main Authors: Issaree Srisomboon, Sanghwan Lee
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/22/10516
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author Issaree Srisomboon
Sanghwan Lee
author_facet Issaree Srisomboon
Sanghwan Lee
author_sort Issaree Srisomboon
collection DOAJ
description Cooperative automated driving technology has emerged as a potential way to increase the efficiency of transportation systems and enhance traffic safety by allowing vehicles to exchange relevant information via wireless communication. Truck platooning utilizes this technology and achieves synchronized braking and acceleration, controlling two or more trucks simultaneously. This synchronized control makes driving with a very short inter-vehicle distance among trucks possible and reduces aerodynamic drag. This provides significant fuel consumption reduction, both in leading and trailing trucks, and achieves fuel-saving improvement. However, the static positioning sacrifices trucks in the front since they consume more fuel energy because of more air resistance than the rears. To solve this in-equivalent fuel consumption reduction benefit, this paper presents several heuristic algorithms to balance fuel consumption reduction and prolong the driving ranges by exploiting position changes among trucks in a platoon. Furthermore, the proposed algorithms try to reduce the number of position changes as much as possible to prevent any fuel waste caused by the unnecessary position change operations. In this manner, each truck in the platoon is likely to share a similar fuel consumption reduction with fewer position change counts, thus addressing the challenge of in-equivalent fuel savings distribution and obtaining optimal fuel efficiency. Our extensive simulation results show that the proposed algorithms can prolong the total distance by approximately 3% increased in two-truck platooning and even higher in six-trucks platooning of approximately 8%. Moreover, our proposed algorithms can decrease the position change count and ensure that trucks only switch to position arrangement once with no duplicate. Therefore, truck platooning obtains the maximum driving range with fewer position change counts, thus achieving efficient fuel saving.
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spelling doaj.art-44a732ba81814121ab2c3fbe5a7a6cca2023-11-22T22:14:53ZengMDPI AGApplied Sciences2076-34172021-11-0111221051610.3390/app112210516Efficient Position Change Algorithms for Prolonging Driving Range of a Truck PlatoonIssaree Srisomboon0Sanghwan Lee1Department of Computer Science, Kookmin University, Seoul 02707, KoreaDepartment of Computer Science, Kookmin University, Seoul 02707, KoreaCooperative automated driving technology has emerged as a potential way to increase the efficiency of transportation systems and enhance traffic safety by allowing vehicles to exchange relevant information via wireless communication. Truck platooning utilizes this technology and achieves synchronized braking and acceleration, controlling two or more trucks simultaneously. This synchronized control makes driving with a very short inter-vehicle distance among trucks possible and reduces aerodynamic drag. This provides significant fuel consumption reduction, both in leading and trailing trucks, and achieves fuel-saving improvement. However, the static positioning sacrifices trucks in the front since they consume more fuel energy because of more air resistance than the rears. To solve this in-equivalent fuel consumption reduction benefit, this paper presents several heuristic algorithms to balance fuel consumption reduction and prolong the driving ranges by exploiting position changes among trucks in a platoon. Furthermore, the proposed algorithms try to reduce the number of position changes as much as possible to prevent any fuel waste caused by the unnecessary position change operations. In this manner, each truck in the platoon is likely to share a similar fuel consumption reduction with fewer position change counts, thus addressing the challenge of in-equivalent fuel savings distribution and obtaining optimal fuel efficiency. Our extensive simulation results show that the proposed algorithms can prolong the total distance by approximately 3% increased in two-truck platooning and even higher in six-trucks platooning of approximately 8%. Moreover, our proposed algorithms can decrease the position change count and ensure that trucks only switch to position arrangement once with no duplicate. Therefore, truck platooning obtains the maximum driving range with fewer position change counts, thus achieving efficient fuel saving.https://www.mdpi.com/2076-3417/11/22/10516truck platooningfuel consumptionfuel reduction potentialautonomous vehiclecooperative automated driving
spellingShingle Issaree Srisomboon
Sanghwan Lee
Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
Applied Sciences
truck platooning
fuel consumption
fuel reduction potential
autonomous vehicle
cooperative automated driving
title Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
title_full Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
title_fullStr Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
title_full_unstemmed Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
title_short Efficient Position Change Algorithms for Prolonging Driving Range of a Truck Platoon
title_sort efficient position change algorithms for prolonging driving range of a truck platoon
topic truck platooning
fuel consumption
fuel reduction potential
autonomous vehicle
cooperative automated driving
url https://www.mdpi.com/2076-3417/11/22/10516
work_keys_str_mv AT issareesrisomboon efficientpositionchangealgorithmsforprolongingdrivingrangeofatruckplatoon
AT sanghwanlee efficientpositionchangealgorithmsforprolongingdrivingrangeofatruckplatoon