Real-Time Crash Prediction Model for Application to Crash Prevention in Freeway Traffic
نویسندگان
چکیده
منابع مشابه
Real-Time Crash Prediction Model for the Application to Crash Prevention in Freeway Traffic
The likelihood of a crash or crash potential is significantly affected by short-term turbulence of traffic flow. For this reason, crash potential must be estimated on a real-time basis by monitoring the current traffic condition. In this regard, a probabilistic real-time crash prediction model relating crash potential to various traffic flow characteristics which lead to crash occurrence, or “c...
متن کاملProactive Freeway Crash Prevention Using Real-Time Traffic Control
This paper makes use of a probabilistic model, that predicts the likelihood of crashes (crash potential) on freeways on the basis of traffic flow conditions, in real-time crash prevention. The model was developed using incident logs and loop detector data collected over a 13-month period on the Gardiner Expressway in Toronto. The previous work suggested that an increase in levels of traffic tur...
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 کاملAssessment of Interaction of Crash Occurrence, Mountainous Freeway Geometry, Real-Time Weather, and Traffic Data
Transportation Research Record: Journal of the Transportation Research Board, No. 2280, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 51–59. DOI: 10.3141/2280-06 Department of Civil, Environmental, and Construction Engineering, University of Central Florida, 4000 Central Florida Boulevard, Orlando, FL 32816-2450. Corresponding author: M. M. Ahmed, mahmed@k...
متن کاملA Framework for Real-time Crash Prediction: Statistical Approach Versus
The attempts to predict crashes on freeways through statistical modeling involving capacity driven measures of traffic flow (e.g., AADT) and road geometry have spanned for more than two decades. However, success in crash prediction involving these static data has so far been limited. In recent times, some researchers made efforts to accommodate the weather conditions and seasonal effects to bet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Record: Journal of the Transportation Research Board
سال: 2003
ISSN: 0361-1981,2169-4052
DOI: 10.3141/1840-08