Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks
On-ramp control is an effective way to mitigate traffic congestion in freeways. In this study, a traffic control approach is developed based on the OD data of a regional freeway to alleviate the traffic overload in freeway bottlenecks. We first locate the major driver sources of the freeway bottlene...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/3536979 |
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| _version_ | 1832553611250368512 |
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| author | Minglun Li Hu Yang Bao Guo Jianjun Dai Pu Wang |
| author_facet | Minglun Li Hu Yang Bao Guo Jianjun Dai Pu Wang |
| author_sort | Minglun Li |
| collection | DOAJ |
| description | On-ramp control is an effective way to mitigate traffic congestion in freeways. In this study, a traffic control approach is developed based on the OD data of a regional freeway to alleviate the traffic overload in freeway bottlenecks. We first locate the major driver sources of the freeway bottlenecks and identify the on-ramps for implementing the traffic control schemes. Next, the differential evolution algorithm is employed to calculate the optimal control time at each traffic control on-ramp. The results indicate that the major driver sources of the freeway bottlenecks are limited. Traffic congestion in the freeway bottlenecks can be effectively mitigated by adaptively controlling the waiting time of vehicles at the on-ramps of their major driver sources. |
| format | Article |
| id | doaj-art-7afd427bf0db46b58df9ed0ad3505dd7 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-7afd427bf0db46b58df9ed0ad3505dd72025-02-03T05:53:35ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/3536979Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway BottlenecksMinglun Li0Hu Yang1Bao Guo2Jianjun Dai3Pu Wang4School of Traffic and Transportation EngineeringSchool of Traffic and Transportation EngineeringSchool of Traffic and Transportation EngineeringHunan Communications Research Institute Co., Ltd.School of Traffic and Transportation EngineeringOn-ramp control is an effective way to mitigate traffic congestion in freeways. In this study, a traffic control approach is developed based on the OD data of a regional freeway to alleviate the traffic overload in freeway bottlenecks. We first locate the major driver sources of the freeway bottlenecks and identify the on-ramps for implementing the traffic control schemes. Next, the differential evolution algorithm is employed to calculate the optimal control time at each traffic control on-ramp. The results indicate that the major driver sources of the freeway bottlenecks are limited. Traffic congestion in the freeway bottlenecks can be effectively mitigated by adaptively controlling the waiting time of vehicles at the on-ramps of their major driver sources.http://dx.doi.org/10.1155/2022/3536979 |
| spellingShingle | Minglun Li Hu Yang Bao Guo Jianjun Dai Pu Wang Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks Journal of Advanced Transportation |
| title | Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks |
| title_full | Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks |
| title_fullStr | Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks |
| title_full_unstemmed | Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks |
| title_short | Driver Source-Based Traffic Control Approach for Mitigating Congestion in Freeway Bottlenecks |
| title_sort | driver source based traffic control approach for mitigating congestion in freeway bottlenecks |
| url | http://dx.doi.org/10.1155/2022/3536979 |
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