详情

原文传递 Improve Congestion Performance Measures Via Conflating Private and Public Information Sources.

题名：	Improve Congestion Performance Measures Via Conflating Private and Public Information Sources.
作者：	Liu, R.
关键词：	Congestion Management Plan, Performance measures, General Transit Feed Systems (GTFS), Conflation
摘要：	A series of transportation related legislations, from ISTEA (1991) to FAST (2015), have been consistently mandating the Congestion Management Plan as integral part of long-range transportation planning (LRTP) for metropolitan areas in the US. As the critical elements of CMP, performance measures, such as travel time and speed, traffic volume and roadway characteristics, are not collected by a single entity, public or private, therefore; it is a challenge to develop performance measures using data from various sources. This report documents an approach to measure the dynamic performances of arterial roadways by combining probe vehicle and transit speed data. With widely spread subscriptions of General Transit Feed System (GTFS) Real Time data and rapidly deployed probing vehicle data collected from private sectors, this particular study proposes a methodology that incorporates the two variables into a Speed Ratio for Auto/Transit (SRAT). Combined with Minimum Estimated Arrival Time (MEAT) and/or Speed, those metrics may be used to measure the transportation service quality for any given two points at any given time where transit service is available.
报告类型：	科技报告