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原文传递 Smart Parking-Management System for Commercial Vehicle Parking at Public Rest Areas

题名：	Smart Parking-Management System for Commercial Vehicle Parking at Public Rest Areas
其他题名：	Antoniou,C.,Koutsopoulos,H.N.,and Yannis,G.(2007)."An efficient non-linear Kalman filtering algorithm using simultaneous perturbation and applications in traffic estimation and prediction."Proc.,IEEE Intelligent Transportation Systems Conf.,New York,217-222.
正文语种：	英文
作者：	Mehmet Emre Bayraktar
关键词：	Commercial vehicles;Rest areas;Intelligent transportation systems (ITSs);Sensors;Kalman filter;Parking management
摘要：	Trucks move around 70％ of the freight weight in the United States. The combination of increased commercial motor vehicle traffic, tighter delivery schedules, and federally regulated limits on driving time lead to a nationally recognized problem on interstate highways in the United States, i.e., increased demand for commercial truck parking. Unavailability of sufficient parking spaces at rest areas results in illegal and unsafe parking at entrance/exit ramps, and other unauthorized areas. The research reported in this paper, funded by the Florida DOT, sought to understand the truck parking problem in Florida, determine the supply and demand characteristics for commercial truck parking, assess technology that can be used to improve parking management, and conduct a pilot project to test a smart truck parkingmanagement technology to make better utilization of commercial parking spaces at public rest areas.
出版年：	2015
论文唯一标识：	P-72Y2015V141N05005
英文栏目名称：	Technical Papers
doi：	10.1061/(ASCE)TE.1943-5436.0000756
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	141
期：	05
页码：	32-47