Simultaneous Equation Modeling for Crash Rate of Freeway Segments
نویسندگان
چکیده
............................................................................................................................. iii Acknowledgments............................................................................................................... v Dedication .......................................................................................................................... vi Table of
منابع مشابه
Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments.
There has been considerable research conducted in recent years into establishing relationships between crashes and various traffic flow characteristics for freeway segments. Most of the research has focused on determining the relationship between crashes and highway traffic volumes, while little attention has been focused on the relationships of vehicle density, level of service (LOS), vehicle ...
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While rural freeways generally have lower crash rates, interactions between driver behavior, traffic and geometric characteristics, and adverse weather conditions may increase the crash risk along some freeway sections. This paper examines the safety effects of roadway geometrics on crash occurrence along a freeway section that features mountainous terrain and adverse weather. Starting from pre...
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Truck-involved crashes have higher crash severity than non-truck-involved crashes. There have been many studies about the frequency of crashes and the development of severity models, but those studies only analyzed the relationship between observed variables. To identify why more people are injured or killed when trucks are involved in the crash, we must examine to quantify the complex causal r...
متن کاملTransferability and robustness of real-time freeway crash risk assessment.
INTRODUCTION This study examines the data from single loop detectors on northbound (NB) US-101 in San Jose, California to estimate real-time crash risk assessment models. METHOD The classification tree and neural network based crash risk assessment models developed with data from NB US-101 are applied to data from the same freeway, as well as to the data from nearby segments of the SB US-101,...
متن کاملTraffic Condition Detection in Freeway by using Autocorrelation of Density and Flow
Traffic conditions vary over time, and therefore, traffic behavior should be modeled as a stochastic process. In this study, a probabilistic approach utilizing Autocorrelation is proposed to model the stochastic variation of traffic conditions, and subsequently, predict the traffic conditions. Using autocorrelation of the time series samples of density and flow which are collected from segments...
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تاریخ انتشار 2017