{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:44:23Z","timestamp":1765568663892,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2030"],"award-info":[{"award-number":["U23B2030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2036"],"award-info":[{"award-number":["U21B2036"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1145\/3748636.3762769","type":"proceedings-article","created":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:07:30Z","timestamp":1765566450000},"page":"561-564","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["FCV2X-Net: Foresighted and Coordinated Vehicle-to-Everything Control for Joint Traffic Navigation and Signal Optimization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4481-413X","authenticated-orcid":false,"given":"Jinwei","family":"Zeng","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1110-2124","authenticated-orcid":false,"given":"Hongyuan","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"},{"name":"Zhongguancun Academy, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9734-6056","authenticated-orcid":false,"given":"Jian","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-1659","authenticated-orcid":false,"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,12,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3561005"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5744"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127507"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3377106"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3141\/1999-10"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106694"},{"key":"e_1_3_2_1_7_1","volume-title":"Joint optimization of traffic signal control and vehicle routing in signalized road networks using multi-agent deep reinforcement learning. arXiv preprint arXiv:2310.10856","author":"Peng Xianyue","year":"2023","unstructured":"Xianyue Peng, Hang Gao, Gengyue Han, Hao Wang, and Michael Zhang. 2023. Joint optimization of traffic signal control and vehicle routing in signalized road networks using multi-agent deep reinforcement learning. arXiv preprint arXiv:2310.10856 (2023)."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4852\u20134861","author":"Sun Qian","year":"2023","unstructured":"Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, and Hui Xiong. 2023. Hierarchical reinforcement learning for dynamic autonomous vehicle navigation at intelligent intersections. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4852\u20134861."},{"key":"e_1_3_2_1_9_1","volume-title":"Congested traffic states in empirical observations and microscopic simulations. Physical review E 62, 2","author":"Treiber Martin","year":"2000","unstructured":"Martin Treiber, Ansgar Hennecke, and Dirk Helbing. 2000. Congested traffic states in empirical observations and microscopic simulations. Physical review E 62, 2 (2000), 1805."},{"key":"e_1_3_2_1_10_1","volume-title":"Fan Bai, Paul Krajewski, Danielle Deneau, Ahmad Jawad, et al.","author":"Wang Xingmin","year":"2024","unstructured":"Xingmin Wang, Zachary Jerome, Zihao Wang, Chenhao Zhang, Shengyin Shen, Vivek Vijaya Kumar, Fan Bai, Paul Krajewski, Danielle Deneau, Ahmad Jawad, et al. 2024. Traffic light optimization with low penetration rate vehicle trajectory data. Nature communications 15, 1 (2024), 1306."},{"key":"e_1_3_2_1_11_1","volume-title":"2022 IEEE International Smart Cities Conference (ISC2). IEEE, 1\u20137.","author":"Wang Zheng","year":"2022","unstructured":"Zheng Wang and Shen Wang. 2022. Xrouting: Explainable vehicle rerouting for urban road congestion avoidance using deep reinforcement learning. In 2022 IEEE International Smart Cities Conference (ISC2). IEEE, 1\u20137."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357902"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1038\/s41467-025-56701-4","article-title":"Big-data empowered traffic signal control could reduce urban carbon emission","volume":"16","author":"Wu Kan","year":"2025","unstructured":"Kan Wu, Jianrong Ding, Jingli Lin, Guanjie Zheng, Yi Sun, Jie Fang, Tu Xu, Yongdong Zhu, and Baojing Gu. 2025. Big-data empowered traffic signal control could reduce urban carbon emission. Nature Communications 16, 1 (2025), 2013.","journal-title":"Nature Communications"},{"key":"e_1_3_2_1_14_1","volume-title":"International conference on machine learning. PMLR, 5571\u20135580","author":"Yang Yaodong","year":"2018","unstructured":"Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, and Jun Wang. 2018. Mean field multi-agent reinforcement learning. In International conference on machine learning. PMLR, 5571\u20135580."},{"key":"e_1_3_2_1_15_1","volume-title":"Citylight: A universal model towards real-world city-scale traffic signal control coordination. arXiv preprint arXiv:2406.02126","author":"Zeng Jinwei","year":"2024","unstructured":"Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Jian Yuan, Yong Li, Yu Wang, and Huazhong Yang. 2024. Citylight: A universal model towards real-world city-scale traffic signal control coordination. arXiv preprint arXiv:2406.02126 (2024)."},{"key":"e_1_3_2_1_16_1","volume-title":"MOSS: A Large-scale Open Microscopic Traffic Simulation System. arXiv:2405.12520 [cs.DC]","author":"Zhang Jun","year":"2024","unstructured":"Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, and Yong Li. 2024. MOSS: A Large-scale Open Microscopic Traffic Simulation System. arXiv:2405.12520 [cs.DC]"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 28th ACM international conference on information and knowledge management. 1963\u20131972","author":"Zheng Guanjie","year":"2019","unstructured":"Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, and Zhenhui Li. 2019. Learning phase competition for traffic signal control. In Proceedings of the 28th ACM international conference on information and knowledge management. 1963\u20131972."}],"event":{"name":"SIGSPATIAL '25: 33rd ACM International Conference on Advances in Geographic Information Systems","location":"The Graduate Hotel Minneapolis Minneapolis MN USA","acronym":"SIGSPATIAL '25","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3748636.3762769","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T19:10:39Z","timestamp":1765566639000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3748636.3762769"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":17,"alternative-id":["10.1145\/3748636.3762769","10.1145\/3748636"],"URL":"https:\/\/doi.org\/10.1145\/3748636.3762769","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"2025-12-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}