{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T02:10:49Z","timestamp":1755828649140,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,22]],"date-time":"2023-12-22T00:00:00Z","timestamp":1703203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,22]]},"DOI":"10.1145\/3660043.3660116","type":"proceedings-article","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T10:18:07Z","timestamp":1717064287000},"page":"405-410","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep prediction model of traffic volume based on vertical and horizontal cycle fusion"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8790-2008","authenticated-orcid":false,"given":"Zhixiong","family":"Zhang","sequence":"first","affiliation":[{"name":"Baotou Teachers? University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8429-151X","authenticated-orcid":false,"given":"Yun","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Baotou Teachers? University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,30]]},"reference":[{"volume-title":"etc A Highway Traffic","author":"Dingyou Lei","key":"e_1_3_2_1_1_1","unstructured":"Lei Dingyou, Ma Qiang, Xu Xinping, etc A Highway Traffic Volume Prediction Method Based on Nonlinear Principal Component Analysis and GA-RBF [J] Journal of Transportation Engineering, 2018, 18 (03): 210-217"},{"key":"e_1_3_2_1_2_1","first-page":"80","volume-title":"Transportation Technology and Economy","author":"Yi Liu","year":"2015","unstructured":"Liu Yi, Zhang Kun Short term traffic flow prediction based on wavelet denoising and GA Elman neural network [J] Transportation Technology and Economy, 2015, 17 (06): 80-85"},{"key":"e_1_3_2_1_3_1","volume-title":"Defense Transportation Engineering and Technology","author":"Aijuan Zou","year":"2015","unstructured":"Zou Aijuan, You Zigui, Wu Dan Short term prediction of highway traffic volume based on ARIMA model [J] Defense Transportation Engineering and Technology, 2015, 13 (06): 34-36+16"},{"key":"e_1_3_2_1_4_1","volume-title":"Computer Application Research","author":"Hongfei Ding","year":"2016","unstructured":"Ding Hongfei, Li Yanhong, Liu Bo, etc Research on combined prediction of travel time on expressways based on BP neural network and SVM [J] Computer Application Research, 2016, 33 (10): 2929-2932+2936"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2419614"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.08.100"},{"key":"e_1_3_2_1_7_1","first-page":"31","article-title":"A combined method to forecast and estimate traffic demand in urban networks [J]","author":"Pohlmann Tobias","year":"2013","unstructured":"Tobias Pohlmann, Bernhard Friedrich. A combined method to forecast and estimate traffic demand in urban networks [J]. Transportation Research Part C, 2013, 31.","journal-title":"Transportation Research Part"},{"key":"e_1_3_2_1_8_1","volume-title":"IEEE. IEEE","author":"Li Q.","year":"2009","unstructured":"Li Q. Short-time traffic flow volume prediction based on support vector machine with time-dependent structure [C]\/\/ Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE. IEEE, 2009."},{"key":"e_1_3_2_1_9_1","volume-title":"etc Adaptive Particle Swarm Optimization Neural Network Traffic Flow Prediction Model [J] Journal of Xi'an Jiaotong University","author":"Rong Xu","year":"2015","unstructured":"Xu Rong, Zhou Dong, Jiang Shizheng, etc Adaptive Particle Swarm Optimization Neural Network Traffic Flow Prediction Model [J] Journal of Xi'an Jiaotong University, 2015, 49 (10): 103-108."}],"event":{"name":"ICIEAI 2023: 2023 International Conference on Information Education and Artificial Intelligence","acronym":"ICIEAI 2023","location":"Xiamen China"},"container-title":["Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3660043.3660116","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3660043.3660116","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T12:23:48Z","timestamp":1755779028000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3660043.3660116"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,22]]},"references-count":9,"alternative-id":["10.1145\/3660043.3660116","10.1145\/3660043"],"URL":"https:\/\/doi.org\/10.1145\/3660043.3660116","relation":{},"subject":[],"published":{"date-parts":[[2023,12,22]]},"assertion":[{"value":"2024-05-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}