Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition
Congestion pricing is one effective demand management strategy to alleviate traffic congestion. This work investigates pricing schemes for mixed traffic flow systems where the human-driven vehicles (HVs) and autonomous vehicles (AVs) coexist. The emerging and integration of autonomous vehicles can h...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/1829104 |
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| _version_ | 1849695587280093184 |
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| author | Yifan Chen Yuliang Zhang Ziyuan Gu |
| author_facet | Yifan Chen Yuliang Zhang Ziyuan Gu |
| author_sort | Yifan Chen |
| collection | DOAJ |
| description | Congestion pricing is one effective demand management strategy to alleviate traffic congestion. This work investigates pricing schemes for mixed traffic flow systems where the human-driven vehicles (HVs) and autonomous vehicles (AVs) coexist. The emerging and integration of autonomous vehicles can help improve the overall transportation efficiency and safety. Given the coexistence of HVs and AVs in the near future, there is need to adjust the existing traffic management strategies to adapt to the mixed traffic conditions. In this study, congestion pricing is imposed on the HVs and the AVs differently, that is, a distance-based toll to the HVs while a delay-based toll to the AVs. We consider six user groups based on the value of time (VOT) and the vehicle types. Compared with the unified distance-based toll, the advantage of delay-based toll is demonstrated first. Then, a surrogate-based optimization framework, namely the regressing Kriging (RK) model, is formulated. Three pricing schemes are investigated and compared: equity-oriented (EQ), environment friendliness-oriented (EN), and revenue-oriented (RE) schemes. Results show that the RE scheme collects the highest revenues; however, its cost-efficiency is weakened. The EQ scheme reduces the variance in the average travel costs among user groups, thus solving the equity issue. |
| format | Article |
| id | doaj-art-d0196d12e2664c27a9d4d68481adc4dc |
| institution | DOAJ |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-d0196d12e2664c27a9d4d68481adc4dc2025-08-20T03:19:45ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/1829104Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic ConditionYifan Chen0Yuliang Zhang1Ziyuan Gu2Institute of Transport StudiesHangzhou Institute of Advanced TechnologyJiangsu Key Laboratory of Urban ITSCongestion pricing is one effective demand management strategy to alleviate traffic congestion. This work investigates pricing schemes for mixed traffic flow systems where the human-driven vehicles (HVs) and autonomous vehicles (AVs) coexist. The emerging and integration of autonomous vehicles can help improve the overall transportation efficiency and safety. Given the coexistence of HVs and AVs in the near future, there is need to adjust the existing traffic management strategies to adapt to the mixed traffic conditions. In this study, congestion pricing is imposed on the HVs and the AVs differently, that is, a distance-based toll to the HVs while a delay-based toll to the AVs. We consider six user groups based on the value of time (VOT) and the vehicle types. Compared with the unified distance-based toll, the advantage of delay-based toll is demonstrated first. Then, a surrogate-based optimization framework, namely the regressing Kriging (RK) model, is formulated. Three pricing schemes are investigated and compared: equity-oriented (EQ), environment friendliness-oriented (EN), and revenue-oriented (RE) schemes. Results show that the RE scheme collects the highest revenues; however, its cost-efficiency is weakened. The EQ scheme reduces the variance in the average travel costs among user groups, thus solving the equity issue.http://dx.doi.org/10.1155/2022/1829104 |
| spellingShingle | Yifan Chen Yuliang Zhang Ziyuan Gu Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition Journal of Advanced Transportation |
| title | Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition |
| title_full | Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition |
| title_fullStr | Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition |
| title_full_unstemmed | Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition |
| title_short | Differential Congestion Pricing Strategies for Heterogeneous Users in the Mixed Traffic Condition |
| title_sort | differential congestion pricing strategies for heterogeneous users in the mixed traffic condition |
| url | http://dx.doi.org/10.1155/2022/1829104 |
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