Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller
Traffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually trying to optimize their individual trip within the net...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9096316/ |
| _version_ | 1818732881294393344 |
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| author | Hossam M. Abdelghaffar Maha Elouni Youssef Bichiou Hesham A. Rakha |
| author_facet | Hossam M. Abdelghaffar Maha Elouni Youssef Bichiou Hesham A. Rakha |
| author_sort | Hossam M. Abdelghaffar |
| collection | DOAJ |
| description | Traffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually trying to optimize their individual trip within the network without accounting for other road users. However, new technologies in modern vehicles, especially connected vehicle technologies, make it increasingly possible to find solutions to network efficiency problems. Connected technologies allow data sharing between vehicles, allowing for greater system optimization. This work takes advantage of connectivity to develop a global framework to increase transportation network efficiency and address the aforementioned challenges. To enhance mobility, this paper presents a dynamic freeway speed controller based on the sliding mode theory, which uses the fundamental equations governing traffic dynamics in combination with variable speed limit control in order to provide advisory speeds for connected vehicles. Simulation results on a downtown Los Angeles network show significant reductions in trip times and delays both on freeways (where the control was activated) and network-wide (i.e., freeways and other roadways). Specifically, the results for the entire network showed a 12.17% reduction in travel time and a 20.67% reduction in total delay. These results had the secondary effect of reducing fuel consumption and therefore CO<sub>2</sub> emissions by 2.6% and 3.3%, respectively. The results for the freeway network alone showed a 20.48% reduction in travel time and a 21.63% reduction in queued vehicles. These results reveal the significant potential benefits of using the proposed speed harmonization controller on real large-scale networks. |
| first_indexed | 2024-12-17T23:40:37Z |
| format | Article |
| id | doaj.art-a12a53cf4db9492f859af0c0d4974940 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T23:40:37Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a12a53cf4db9492f859af0c0d49749402022-12-21T21:28:27ZengIEEEIEEE Access2169-35362020-01-018992199922610.1109/ACCESS.2020.29955529096316Development of a Connected Vehicle Dynamic Freeway Variable Speed ControllerHossam M. Abdelghaffar0Maha Elouni1Youssef Bichiou2Hesham A. Rakha3https://orcid.org/0000-0002-5845-2929Center for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA, USACenter for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA, USACenter for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA, USACenter for Sustainable Mobility, Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA, USATraffic congestion is a major challenge in urban areas, and is associated with longer travel times, increased vehicle emissions, and numerous vehicle crashes. Creating an efficient mobility system is difficult, given that each driver is usually trying to optimize their individual trip within the network without accounting for other road users. However, new technologies in modern vehicles, especially connected vehicle technologies, make it increasingly possible to find solutions to network efficiency problems. Connected technologies allow data sharing between vehicles, allowing for greater system optimization. This work takes advantage of connectivity to develop a global framework to increase transportation network efficiency and address the aforementioned challenges. To enhance mobility, this paper presents a dynamic freeway speed controller based on the sliding mode theory, which uses the fundamental equations governing traffic dynamics in combination with variable speed limit control in order to provide advisory speeds for connected vehicles. Simulation results on a downtown Los Angeles network show significant reductions in trip times and delays both on freeways (where the control was activated) and network-wide (i.e., freeways and other roadways). Specifically, the results for the entire network showed a 12.17% reduction in travel time and a 20.67% reduction in total delay. These results had the secondary effect of reducing fuel consumption and therefore CO<sub>2</sub> emissions by 2.6% and 3.3%, respectively. The results for the freeway network alone showed a 20.48% reduction in travel time and a 21.63% reduction in queued vehicles. These results reveal the significant potential benefits of using the proposed speed harmonization controller on real large-scale networks.https://ieeexplore.ieee.org/document/9096316/Connected vehicleslarge scale networksliding controlspeed harmonizationvariable speed control |
| spellingShingle | Hossam M. Abdelghaffar Maha Elouni Youssef Bichiou Hesham A. Rakha Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller IEEE Access Connected vehicles large scale network sliding control speed harmonization variable speed control |
| title | Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller |
| title_full | Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller |
| title_fullStr | Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller |
| title_full_unstemmed | Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller |
| title_short | Development of a Connected Vehicle Dynamic Freeway Variable Speed Controller |
| title_sort | development of a connected vehicle dynamic freeway variable speed controller |
| topic | Connected vehicles large scale network sliding control speed harmonization variable speed control |
| url | https://ieeexplore.ieee.org/document/9096316/ |
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