@inproceedings{79dc5e966f4e4f7fb60205fb364e46e2,
title = "Online Global Query Planning for Dynamic Road Networks",
abstract = "With the development of vehicle navigation systems, path planning has become more and more popular in people's daily life. Existing smart transportation platforms aim to plan for a single query and make lots of vehicles drive onto the same road, which will inevitably cause potential traffic congestion. In this paper, we advance the Online Global Planning (OGP), which calculates a global optimal plan for all the queries that arrive dynamically on the platform to avoid potential traffic congestion, considering the real-time traffic condition. We put forward a Planning optimization Online Global Planning (PO-OGP) method. It takes a group of vehicles on the same and adjacent roads into account, and optimizes the planning results according to the potential influence among different vehicles. Extensive experiments verify the effectiveness and efficiency of our algorithm.",
keywords = "Online planning, Path planning, Smart transportation platforms, Vehicle navigation system",
author = "Siyi Zhang and Xiaoxi Cui and Yurong Cheng and Ye Yuan and Guoren Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022 ; Conference date: 26-11-2022 Through 28-11-2022",
year = "2022",
doi = "10.1109/CCIS57298.2022.10016370",
language = "English",
series = "Proceedings of 2022 8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "666--670",
editor = "Fuji Ren and Witold Pedrycz and Zhiquan Luo and Dan Yang and Tianrui Li and Mengqi Zhou and Weining Wang and Aijing Li and Dandan Dandan and Zou, {Liu Yaru} and Yanna Liu",
booktitle = "Proceedings of 2022 8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022",
address = "United States",
}