Modeling and Predicting Traffic Accidents at Signalized Intersections in the City of Norfolk, VA PDF Download
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Author: Sharad K. Maheshwari
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 186
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Author: Sharad K. Maheshwari
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 186
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Book Description
Author: Sharad K. Maheshwari
Publisher:
ISBN:
Category : Signalized intersections
Languages : en
Pages : 28
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"This study was an attempt to apply a proactive approach using traffic pattern and signalized intersection characteristics to predict accident rates at signalized intersections in a city's arterial network. An earlier analysis of accident data at selected intersections within the City of Norfolk indicated that in addition to traffic volume, other controllable factors contributed to traffic accidents at specific intersections. These factors included area topography, lane patterns, type of road signs, turning lanes, etc. It is also known that administrative factors such as signal types, signal polic[i]es, road closures, etc., and maintenance factors such as road conditions, condition of the signals, condition of road signs, etc. also impact road accidents. / The objective of this study was to relate these variables to accident rate and delineate variables that are statistically more significant for accident rate. Data on several topographical variables was collected in the City of Norfolk. These variables included number of lanes, turn lanes, pedestrian crossing, restricted lanes, etc. A linear regression model was used to establish relationship between these variables and the accident rate. The resulting regression model explained 60% of the variability. It also showed that four topographical variables are more important than other variables. Those variables included number of lanes, number of turn lanes, presence of median and presence of permanent hazard like railway crossing. However, validation of model showed higher than expected variation. The model developed, in this study, overestimates the accident rate by 33% thus, limiting its practical application."--Executive summary (p. 1).
Author: Matthew T. Naclerio
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 198
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Author: Young-Jun Kweon
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 86
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Book Description
This research was undertaken to develop an evaluation procedure to identify high-risk four-legged signalized intersections in VDOT's Northern Virginia district by traffic movements and times of day. By using the developed procedure, traffic engineers are expected to be able to identify signalized intersections where the traffic crash occurrences under different traffic conditions for different times of day are more frequent than would normally be expected. Using generalized linear models such as negative binomial models, one safety performance function was estimated for each of nine crash population reference groups formed by three traffic crash patterns (crash patterns 1, 4, and 6) and four times of day (A.M. peak, mid day, P.M. peak, and evening off peak). Crash pattern 1 is a same-direction crash (rear-end, sideswipe or angle crash) that occurs after exiting the intersection; crash pattern 4 is a right-angle crash between two adjacent straight-through vehicle movements in the intersection; and crash pattern 6 is an angle or head-on or opposite sideswipe crash between a straight-through vehicle movement and an opposing left-turn vehicle movement in the intersection. The procedure developed in this study is based on the empirical Bayes (EB) method. Additional data do not need to be collected in order to use the EB procedure because all the data required for applying the EB procedure should be obtainable from VDOT's crash database and from Synchro input data that are already available to traffic engineers for traffic signal phase plans. Thus, the EB procedure is cost-effective and readily applicable. For easy application of the EB procedure, an EB spreadsheet was developed using Microsoft Excel, and a users' guide was prepared. These are available from the author upon request.
Author: P. J. Cooper
Publisher:
ISBN:
Category :
Languages : en
Pages : 192
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Author: Michael Y. K. Lau
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 600
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Author: Hans C. Joksch
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 172
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Author: Michael Y. K. Lau
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 165
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Author: Michael Yiu-Kuen Lau
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 120
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Author: Michael Yiu-Kuen Lau
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 35
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