The significance of vehicle-type-specific headway studies lies in the application of freeway capacity and safety analysis. However, data reliability plays an important role in the ability to understand the characteristics and microscopic modeling of freeway traffic. This study takes advantage of observation-based video data by using data extracting software VEVID to retrieve reliable vehicle trajectory data. The study focused on uniqueness of vehicle-type-specific headway under specific traffic states, as well as mixed headway. Data examination showed significant differences in vehicle-type-specific headways under average traffic conditions, uncongested flow and congested flow. Headways tend to be minimal in uncongested traffic flow, and maximal in congested traffic flow. In addition, the degree of discreteness by vehicle type headway differs significantly under different traffic conditions. Noticeably, in congested traffic, all types of headways tend to be less than reported in literature review results. In particular, Truck-Car and Truck-Truck headways behave considerably differently when traffic shifts between congested and uncongested conditions. The practical applications of these findings including improvement of microscopic car-following models, traffic state identification and vehicle classification.
Identifying Characteristics of Freeway Traffic Headway by Vehicle Types Using Video Trajectory Data
Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China
ICCTP 2010 ; 1984-1992
2010-07-22
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Identifying Characteristics of Freeway Traffic Headway by Vehicle Types Using Video Trajectory Data
British Library Conference Proceedings | 2010
|Vehicle Type — Specific Headway Analysis Using Freeway Traffic Data
Online Contents | 2009
|Vehicle Type–Specific Headway Analysis Using Freeway Traffic Data
Transportation Research Record | 2009
|Examining Headway Distribution Models with Urban Freeway Loop Event Data
Transportation Research Record | 2007
|Constructing a bivariate distribution for freeway speed and headway data
Taylor & Francis Verlag | 2014
|