Qizhe Xu, Dongxi Lu, Hanyang Zhuang, Chunxiang Wang, Ming Yang
{"title":"基于基础设施的自动代客泊车调度系统","authors":"Qizhe Xu, Dongxi Lu, Hanyang Zhuang, Chunxiang Wang, Ming Yang","doi":"10.1109/CAC57257.2022.10055976","DOIUrl":null,"url":null,"abstract":"Automated valet parking (AVP) contributes to the reduction in the shortage of the parking resources, which has a significant impact on the efficiency of city transportation. However, in the current situation most AVP systems are implemented through vehicle-based intelligence approaches, leading to not only the problem of high cost in onboard sensor installation but also less global parking efficiency. Therefore, recent research works focusing on infrastructure-based AVP system have become a popular direction. The information of all vehicles is obtained so that the parking of each vehicle can be considered from a global perspective. This paper aims at proposing an intelligent Parking Dispatch System (PDS) to systematically tackle these issues. The PDS is developed to allocate parking space of each vehicle, generate vehicle trajectory to the parking space, compute control commands and also take care of potential collisions and conflicts. The target of this system is to minimize the average waiting time. A simulation platform has been developed to validate the system on the basis of a existent parking lot. The experiment results have shown that the PDS can achieve a high efficiency in coordinating the vehicles in the parking lot.","PeriodicalId":287137,"journal":{"name":"2022 China Automation Congress (CAC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parking Dispatch System for Infrastructure-based Automated Valet Parking\",\"authors\":\"Qizhe Xu, Dongxi Lu, Hanyang Zhuang, Chunxiang Wang, Ming Yang\",\"doi\":\"10.1109/CAC57257.2022.10055976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated valet parking (AVP) contributes to the reduction in the shortage of the parking resources, which has a significant impact on the efficiency of city transportation. However, in the current situation most AVP systems are implemented through vehicle-based intelligence approaches, leading to not only the problem of high cost in onboard sensor installation but also less global parking efficiency. Therefore, recent research works focusing on infrastructure-based AVP system have become a popular direction. The information of all vehicles is obtained so that the parking of each vehicle can be considered from a global perspective. This paper aims at proposing an intelligent Parking Dispatch System (PDS) to systematically tackle these issues. The PDS is developed to allocate parking space of each vehicle, generate vehicle trajectory to the parking space, compute control commands and also take care of potential collisions and conflicts. The target of this system is to minimize the average waiting time. A simulation platform has been developed to validate the system on the basis of a existent parking lot. The experiment results have shown that the PDS can achieve a high efficiency in coordinating the vehicles in the parking lot.\",\"PeriodicalId\":287137,\"journal\":{\"name\":\"2022 China Automation Congress (CAC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 China Automation Congress (CAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAC57257.2022.10055976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 China Automation Congress (CAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAC57257.2022.10055976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parking Dispatch System for Infrastructure-based Automated Valet Parking
Automated valet parking (AVP) contributes to the reduction in the shortage of the parking resources, which has a significant impact on the efficiency of city transportation. However, in the current situation most AVP systems are implemented through vehicle-based intelligence approaches, leading to not only the problem of high cost in onboard sensor installation but also less global parking efficiency. Therefore, recent research works focusing on infrastructure-based AVP system have become a popular direction. The information of all vehicles is obtained so that the parking of each vehicle can be considered from a global perspective. This paper aims at proposing an intelligent Parking Dispatch System (PDS) to systematically tackle these issues. The PDS is developed to allocate parking space of each vehicle, generate vehicle trajectory to the parking space, compute control commands and also take care of potential collisions and conflicts. The target of this system is to minimize the average waiting time. A simulation platform has been developed to validate the system on the basis of a existent parking lot. The experiment results have shown that the PDS can achieve a high efficiency in coordinating the vehicles in the parking lot.