{"title":"车位占用预测系统","authors":"M. Šrotýř, M. Jerabek, Z. Lokaj, T. Zelinka","doi":"10.1109/SCSP.2015.7181543","DOIUrl":null,"url":null,"abstract":"This paper presents the result of the project TA02031411 - transportation system which provides information about the predicted occupancy of parking spaces to truck drivers. Providing this information leads to optimizing the use of existing parking spaces on the highway network and also makes it easier for drivers to deciding on a suitable location for parking, which ultimately contributes to the fluency and safety of traffic.","PeriodicalId":398175,"journal":{"name":"2015 Smart Cities Symposium Prague (SCSP)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Prediction system of occupancy of parking spaces\",\"authors\":\"M. Šrotýř, M. Jerabek, Z. Lokaj, T. Zelinka\",\"doi\":\"10.1109/SCSP.2015.7181543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the result of the project TA02031411 - transportation system which provides information about the predicted occupancy of parking spaces to truck drivers. Providing this information leads to optimizing the use of existing parking spaces on the highway network and also makes it easier for drivers to deciding on a suitable location for parking, which ultimately contributes to the fluency and safety of traffic.\",\"PeriodicalId\":398175,\"journal\":{\"name\":\"2015 Smart Cities Symposium Prague (SCSP)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Smart Cities Symposium Prague (SCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCSP.2015.7181543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Smart Cities Symposium Prague (SCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCSP.2015.7181543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the result of the project TA02031411 - transportation system which provides information about the predicted occupancy of parking spaces to truck drivers. Providing this information leads to optimizing the use of existing parking spaces on the highway network and also makes it easier for drivers to deciding on a suitable location for parking, which ultimately contributes to the fluency and safety of traffic.
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