Incentive Design for Eco-driving in Urban Transportation Networks
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866911878912933888 |
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| author | Niazi, M. Umar B. Cho, Jung-Hoon Dahleh, Munther A. Dong, Roy Wu, Cathy |
| author_facet | Niazi, M. Umar B. Cho, Jung-Hoon Dahleh, Munther A. Dong, Roy Wu, Cathy |
| contents | Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the `eco-planner,' a digital platform devised to promote eco-driving practices in urban transportation. At the outset of their trips, users provide the platform with their trip details and travel time preferences, enabling the eco-planner to formulate personalized eco-driving recommendations and corresponding incentives, while adhering to its budgetary constraints. Upon trip completion, incentives are transferred to users who comply with the recommendations and effectively reduce their emissions. By comparing our proposed incentive mechanism with a baseline scheme that offers uniform incentives to all users, we demonstrate that our approach achieves superior emission reductions and increased user compliance with a smaller budget. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2311_03682 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Incentive Design for Eco-driving in Urban Transportation Networks Niazi, M. Umar B. Cho, Jung-Hoon Dahleh, Munther A. Dong, Roy Wu, Cathy Systems and Control Social and Information Networks Optimization and Control Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the `eco-planner,' a digital platform devised to promote eco-driving practices in urban transportation. At the outset of their trips, users provide the platform with their trip details and travel time preferences, enabling the eco-planner to formulate personalized eco-driving recommendations and corresponding incentives, while adhering to its budgetary constraints. Upon trip completion, incentives are transferred to users who comply with the recommendations and effectively reduce their emissions. By comparing our proposed incentive mechanism with a baseline scheme that offers uniform incentives to all users, we demonstrate that our approach achieves superior emission reductions and increased user compliance with a smaller budget. |
| title | Incentive Design for Eco-driving in Urban Transportation Networks |
| topic | Systems and Control Social and Information Networks Optimization and Control |
| url | https://arxiv.org/abs/2311.03682 |