An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network
With the vehicular ad hoc network (VANET) technology which support vehicle-to-vehicle (V2V) and vehicle to road side unit (V2R/R2V) communications, vehicles can preview the intersection signal plan such as signal countdown message. In this paper, an ecodriving advisory system (EDAS) is proposed to r...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/5060481 |
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| author | Wei-Hsun Lee Jiang-Yi Li |
| author_facet | Wei-Hsun Lee Jiang-Yi Li |
| author_sort | Wei-Hsun Lee |
| collection | DOAJ |
| description | With the vehicular ad hoc network (VANET) technology which support vehicle-to-vehicle (V2V) and vehicle to road side unit (V2R/R2V) communications, vehicles can preview the intersection signal plan such as signal countdown message. In this paper, an ecodriving advisory system (EDAS) is proposed to reduce CO2 emissions and energy consumption by letting the vehicle continuously pass through multiple intersections with the minimum possibilities of stops. We extend the isolated intersection model to multiple continuous intersections scenario. A hybrid method combining three strategies including maximized throughput model (MTM), smooth speed model (SSM), and minimized acceleration and deceleration (MinADM) is designed, and it is compared with related works maximized throughput model (MaxTM), open traffic light control model (OTLCM), and predictive cruise control (PCC) models. Some issues for the practical application including safe car following, queue clearing, and gliding mode are discussed and conquered. Simulation results show that the proposed model outperforms OTLCM 25.1%~81.2% in the isolated intersection scenario for the CO2 emissions and 20.5%~84.3% in averaged travel time. It also performs better than the compared PCC model in CO2 emissions (19.9%~31.2%) as well as travel time (24.5%~35.9%) in the multiple intersections scenario. |
| format | Article |
| id | doaj-art-cd9327ef05334ed790753f7a20c98e12 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-cd9327ef05334ed790753f7a20c98e122025-02-03T06:12:01ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/50604815060481An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc NetworkWei-Hsun Lee0Jiang-Yi Li1Department of Transportation and Communication Management Science, National Cheng Kung University, No. 1, University Road, Tainan City 701, TaiwanDepartment of Transportation and Communication Management Science, National Cheng Kung University, No. 1, University Road, Tainan City 701, TaiwanWith the vehicular ad hoc network (VANET) technology which support vehicle-to-vehicle (V2V) and vehicle to road side unit (V2R/R2V) communications, vehicles can preview the intersection signal plan such as signal countdown message. In this paper, an ecodriving advisory system (EDAS) is proposed to reduce CO2 emissions and energy consumption by letting the vehicle continuously pass through multiple intersections with the minimum possibilities of stops. We extend the isolated intersection model to multiple continuous intersections scenario. A hybrid method combining three strategies including maximized throughput model (MTM), smooth speed model (SSM), and minimized acceleration and deceleration (MinADM) is designed, and it is compared with related works maximized throughput model (MaxTM), open traffic light control model (OTLCM), and predictive cruise control (PCC) models. Some issues for the practical application including safe car following, queue clearing, and gliding mode are discussed and conquered. Simulation results show that the proposed model outperforms OTLCM 25.1%~81.2% in the isolated intersection scenario for the CO2 emissions and 20.5%~84.3% in averaged travel time. It also performs better than the compared PCC model in CO2 emissions (19.9%~31.2%) as well as travel time (24.5%~35.9%) in the multiple intersections scenario.http://dx.doi.org/10.1155/2018/5060481 |
| spellingShingle | Wei-Hsun Lee Jiang-Yi Li An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network Journal of Advanced Transportation |
| title | An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network |
| title_full | An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network |
| title_fullStr | An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network |
| title_full_unstemmed | An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network |
| title_short | An Eco-Driving Advisory System for Continuous Signalized Intersections by Vehicular Ad Hoc Network |
| title_sort | eco driving advisory system for continuous signalized intersections by vehicular ad hoc network |
| url | http://dx.doi.org/10.1155/2018/5060481 |
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