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ADAPTIVE Q-LEARNING FOR SUSTAINABLE ELECTRIC VEHICLE ADAPTIVE CRUISE CONTROL IN THAILAND'S SMART TOURISM |
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| รหัสดีโอไอ | |
| Creator | Pannee SUANPANG |
| Title | ADAPTIVE Q-LEARNING FOR SUSTAINABLE ELECTRIC VEHICLE ADAPTIVE CRUISE CONTROL IN THAILAND'S SMART TOURISM |
| Contributor | Pitchaya JAMJUNTR, Chanchai TECHAWATCHARAPAIKUL, Chutiwan BOONARCHATONG, Wattanapon CHUMPHET, Nawanun SRISUKSAI |
| Publisher | Asian Interdisciplinary and Sustainability Review |
| Publication Year | 2568 |
| Journal Title | Asian Interdisciplinary and Sustainability Review |
| Journal Vol. | 14 |
| Journal No. | 2 |
| Page no. | Article 2 |
| Keyword | Adaptive Cruise Control (ACC), Electric Vehicles (EVs), Adaptive Q-Learning, Thailand, Sustainability |
| URL Website | https://so05.tci-thaijo.org/index.php/PSAKUIJIR |
| Website title | https://so05.tci-thaijo.org/index.php/PSAKUIJIR/article/view/279882 |
| ISSN | 3027-6535 |
| Abstract | This study explores the integration of adaptive Q-learning into Electric Vehicle (EV) Adaptive Cruise Control (ACC) systems, with a focus on enhancing sustainability in Thailand's smart tourism destinations. It presents an adaptive Q-learning approach to improve efficiency, safety, and environmental performance in dynamic environments by learning optimal speed and distance policies through continuous interaction. The simulations demonstrated that adaptive Q-learning significantly improved ACC's fuel efficiency, reduces traffic congestion and improves air quality. These improvements are crucial for developing sustainable transportation solutions in environmentally sensitive tourist destinations. The study stresses how adaptive Q-learning transforms EV safety, efficiency, and environmental management, setting a sustainable benchmark for ADAS systems in Thailand and elsewhere. |
