Evaluating Drivers Stop-line Violation Behavior at Signalized Intersections PDF Download
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Author: Xinyu Zhou
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Stop lines are common at intersections; however, few studies have focused on the position of stopped vehicles with respect to the stop line. Often drivers will stop their vehicles over the line creating potential operational or safety problems. In this thesis, data collected from local intersections in State College, Pennsylvania, indicated that only 61 percent of the vehicles observed were in compliance and 13 percent of the vehicles observed were committing severe violations. The data were analyzed to characterize driver behavior related to stop location during red phases. Driver stop line violations were influenced by many factors in this study. Lane usage (right turn only) was associated with high violation rates. Minor roads, when compared to major roads, were more likely to have more severe violations, while morning periods had more minor violations than other time periods. Through only lanes or increased distance from the stop line to the crosswalk or curb extension line promoted higher rates of compliance. Improvements on having a good sight view, keeping enough sight distance and vehicle stop distance could be good choices on reducing severe stop line violations. Increasing the distance from a stop line to a crosswalk or curb extension line an additional 10 feet might provide enough space for the majority of the vehicles stopping at an intersection from entering the crosswalk or intersection area.
Author: Xinyu Zhou
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Stop lines are common at intersections; however, few studies have focused on the position of stopped vehicles with respect to the stop line. Often drivers will stop their vehicles over the line creating potential operational or safety problems. In this thesis, data collected from local intersections in State College, Pennsylvania, indicated that only 61 percent of the vehicles observed were in compliance and 13 percent of the vehicles observed were committing severe violations. The data were analyzed to characterize driver behavior related to stop location during red phases. Driver stop line violations were influenced by many factors in this study. Lane usage (right turn only) was associated with high violation rates. Minor roads, when compared to major roads, were more likely to have more severe violations, while morning periods had more minor violations than other time periods. Through only lanes or increased distance from the stop line to the crosswalk or curb extension line promoted higher rates of compliance. Improvements on having a good sight view, keeping enough sight distance and vehicle stop distance could be good choices on reducing severe stop line violations. Increasing the distance from a stop line to a crosswalk or curb extension line an additional 10 feet might provide enough space for the majority of the vehicles stopping at an intersection from entering the crosswalk or intersection area.
Author: Robert Hilton Wortman
Publisher:
ISBN:
Category : Automobile driving
Languages : en
Pages : 118
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Author: Melissa Duhn
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 200
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Stop lines are ubiquitous, but do they really impact intersection safety? Prior to this project, no long-term studies on intersection safety with stop lines had been completed. This project was developed with two parallel research efforts: a safety study and an observational study. The safety study was developed to address stop lines’ effects over the long term and used crash data from five cities’ stop-controlled intersections to perform regression and see if stop lines actually influenced safety. The observational study was developed to determine if stop lines have an effect on driver behavior at intersections and to look at where drivers were stopping. Video was collected at 16 different intersections before and after a stop line was painted. The safety study and observational study showed that stop lines did not have a significant impact on driver behavior or intersection safety, but other factors like speed limits and sight distance did. Implications for practice include carefully examining sight distance at the intended stopping point to ensure drivers have adequate sight distance in both directions. If sight distance is not adequate, moving the intended stop location or reconsidering whether the intersection should have signage -- stop or yield -- or be uncontrolled could yield better driver compliance and safety.
Author: Karen S. Schurr
Publisher:
ISBN:
Category : Automobile drivers
Languages : en
Pages : 136
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Author: Yohannes Bekele Weldegiorgis
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ISBN:
Category : Civil engineering
Languages : en
Pages : 312
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In recent years many red light cameras have been installed at signalized intersections along urban arterials. The main reason behind installing cameras is to reduce red light running behavior in an effort to improve intersection safety. At red light camera equipped intersections, if a driver is aware of the presence of the cameras his/her driving behavior is bound to change. This behavioral change however, may be intentional or unintentional. The change in behavior will influence the utilization of yellow intervals resulting in an increased "dilemma zone" which in turn, will affect the capacity (or efficiency) of the intersection operation. Motorist behavior at an intersection equipped with red light camera is a major factor contributing to the safety and operation of the intersection. A motorists' decision whether to pass or stop at the intersection during the yellow signal interval depends on a number of factors, such as speed, geometric characteristics, driver's attitude, to name a few. The decision with respect to the yellow signal can result in red light running or rear end and side collisions. Motorists' behavior at red light camera intersections during exposure with a yellow signal may be seen as a binary decision in which case the two main decisions are either to come to a stop or cross the intersection. In this dissertation, a discrete choice model of the stopping probability is developed using vehicles' actual speed and location from the stop line when the motorist is exposed to the yellow signal. A binary choice model is developed using the probability of stopping to the yellow signal as a function of actual approach speed, distance from intersection, and presence of camera. The existence of the dilemma zone is estimated using dilemma zone plots developed from the probability of stopping vs. distance from stop line during the yellow interval. The dissertation also presents a new approach to calculate the change in capacity resulting from drivers stopping at the intersection during the yellow interval. Using field data from Baltimore, Maryland it is shown that the capacity of camera equipped intersections may be lower than that at intersections without cameras. -- Abstract.
Author: Prahlad D. Pant
Publisher:
ISBN:
Category : Electronic traffic controls
Languages : en
Pages : 248
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The effects of two dynamic signs that begin to flash a few seconds before the onset of the yellow interval and a static sign that flashes all the time were examined at tangent and curved approaches to rural, high speed signalized intersections. The dynamic signs included (a) a PTSWF (prepare to stop when flashing) sign, and (b) a FSSA (flashing symbolic signal ahead) sign with green, yellow, and red circles. The static sign was a CFSSA (continuously flashing symbolic signal ahead) sign with the three circles. The effects of these signs on vehicular speeds at different segments of the intersection approach including the dilemma zone were analyzed as were the vehicle conflict rates and the responses from the drivers' surveys.
Author: Paul Zador
Publisher:
ISBN:
Category : Automobile driving
Languages : en
Pages : 22
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Author: Everett C. Carter
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 188
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Author: Yina Wu
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ISBN:
Category :
Languages : en
Pages : 167
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In the United States, intersections are among the most frequent locations for crashes. One of the major problems at signalized intersection is the dilemma zone, which is caused by false driver behavior during the yellow interval. This research evaluated driver behavior during the yellow interval at signalized intersections and compared different dilemma zone countermeasures. The study was conducted through four stages. First, the driver behavior during the yellow interval were collected and analyzed. Eight variables, which are related to risky situations, are considered. The impact factors of drivers' stop/go decisions and the presence of the red-light running (RLR) violations were also analyzed. Second, based on the field data, a logistic model, which is a function of speed, distance to the stop line and the lead/follow position of the vehicle, was developed to predict drivers' stop/go decisions. Meanwhile, Cellular Automata (CA) models for the movement at the signalized intersection were developed. In this study, four different simulation scenarios were established, including the typical intersection signal, signal with flashing green phases, the intersection with pavement marking upstream of the approach, and the intersection with a new countermeasure: adding an auxiliary flashing indication next to the pavement marking. When vehicles are approaching the intersection with a speed lower than the speed limit of the intersection approach, the auxiliary flashing yellow indication will begin flashing before the yellow phase. If the vehicle that has not passed the pavement marking before the onset of the auxiliary flashing yellow indication and can see the flashing indication, the driver should choose to stop during the yellow interval.
Author:
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Category : Church and social problems
Languages : en
Pages :
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