{"title":"提高智能停车场的服务质量","authors":"Aroua Amari, L. Moussaid, S. Tallal","doi":"10.1145/3286606.3286844","DOIUrl":null,"url":null,"abstract":"This article presents a new approach to smart parking demand management to improve the quality of service. We proposed a scheduling algorithm that takes into consideration the health status of drivers when allocating available seats. This proposal prioritizes drivers whose physical condition is alarming and follows the \"first come, first served\" principle for other drivers.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improving the quality of service of a smart car park\",\"authors\":\"Aroua Amari, L. Moussaid, S. Tallal\",\"doi\":\"10.1145/3286606.3286844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a new approach to smart parking demand management to improve the quality of service. We proposed a scheduling algorithm that takes into consideration the health status of drivers when allocating available seats. This proposal prioritizes drivers whose physical condition is alarming and follows the \\\"first come, first served\\\" principle for other drivers.\",\"PeriodicalId\":416459,\"journal\":{\"name\":\"Proceedings of the 3rd International Conference on Smart City Applications\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 3rd International Conference on Smart City Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3286606.3286844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Smart City Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3286606.3286844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving the quality of service of a smart car park
This article presents a new approach to smart parking demand management to improve the quality of service. We proposed a scheduling algorithm that takes into consideration the health status of drivers when allocating available seats. This proposal prioritizes drivers whose physical condition is alarming and follows the "first come, first served" principle for other drivers.