期刊
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷 57, 期 -, 页码 132-157出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2013.08.015
关键词
Three-detector problem; Kinematic wave method; Probit model; Clark's approximation; Traffic state estimation
类别
资金
- Fundamental Research Funds for the Central Universities of China [KTJB10003536]
- USDOT Regional University Transportation Center grant (NEXTRANS) [040PY02]
This study focuses on how to use multiple data sources, including loop detector counts, AVI Bluetooth travel time readings and GPS location samples, to estimate macroscopic traffic states on a homogeneous freeway segment. With a generalized least square estimation framework, this research constructs a number of linear equations that map the traffic measurements as functions of cumulative vehicle counts on both ends of a traffic segment. We extend Newell's method to solve a stochastic three-detector problem, where the mean and variance estimates of cell-based density and flow can be analytically derived through a multinomial probit model and an innovative use of Clark's approximation method. An information measure is further introduced to quantify the value of heterogeneous traffic measurements for improving traffic state estimation on a freeway segment. Published by Elsevier Ltd.
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