@inproceedings{3dde7c05bac54f9e938504034b531f03,
title = "Self-driving Tour Route Planning Based on Time and Space Accessibility",
abstract = "Self-drive travel is becoming increasingly popular. This paper constructs a self-drive travel route planning model based on temporal-spatial accessibility, focusing on the temporal-spatial demands of self-drive group tourism and considering the attributes of scenic spots. The model adopts an improved genetic algorithm, aiming at the optimal accessibility of time and space, and recommends the best travel route with the shortest travel distance according to the different time needs of self-driving tourists, and gives reasonable time arrangement suggestions accordingly. Combined with the analysis of tourism resources and the results of scenic spot accessibility measurement, the attractions of the G331 highway tourist corridor in Jilin Province are searched, and the model is used to recommend the self-driving tourist route with the best time and space accessibility.",
keywords = "Genetic Algorithms, Self-driving Tours, Spatial and Temporal Accessibility, Tour Route Planning",
author = "Longhai Yang and Tingting Che and Chengzhang Duan and Xiqiao Zhang and Shujing Wu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 2nd International Conference on SmartRail, Traffic and Transportation Engineering, ICSTTE 2024 ; Conference date: 25-10-2024 Through 27-10-2024",
year = "2025",
doi = "10.1007/978-981-96-7441-1\_29",
language = "英语",
isbn = "9789819674404",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "294--302",
editor = "Limin Jia and Yanhui Wang and Said Easa",
booktitle = "Advances and Applications in SmartRail, Traffic, and Transportation Engineering - Proceedings of 2024 2nd International Conference on SmartRail, Traffic and Transportation Engineering, ICSTTE 2024",
address = "德国",
}