Evaluation of Intersection Collision Warning Systems in Minnesota PDF Download

Author: Shauna L. Hallmark
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 44

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Book Description
The Minnesota Department of Transportation (MnDOT) is investing significant resources in intersection collision warning systems (ICWS) based on early indications of effectiveness. However, the effectiveness is not well documented, and negative changes in driver behavior at treatment intersections may affect drivers overall, resulting in a spillover effect. Moreover, the effectiveness of ICWS may decrease if drivers do not perceive a change in the dynamic messages. Therefore, the objectives of this research were to (1) evaluate driver behavior at mainline and stop-controlled approaches for intersections with and without ICWS and (2) assess the traffic volume range and limits where the system is nearly continuously activated and is likely to lose its effectiveness. Video data were collected at five treatment and corresponding control intersections, and various metrics were used to compare changes in driver behavior. In general, no negative behaviors were noted for either treatment or control intersections.

Author: Disi Tian
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 127

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Book Description
The Rural Intersection Collision Warning System (i.e., RICWS) has been deployed across the state of Minnesota to provide real-time traffic information to motorists to assist them with identifying sufficient vehicle gaps at thru-STOP intersections. However, since its implementation, a number of complaints have been received from local road users in regard to the signs. To identify the human factors issues with the current RICWS sign and to propose safe and efficient alternatives to its use, multiple rounds of usability tests were conducted with Minnesota county engineers and local road users to assist iterative design modifications as well as evaluate the effectives of each sign’s ability to accurately convey information regarding each of its three states. Three alternative design options were developed and tested along with the original RICWS sign via a driving simulator. A total of 120 participants, including novice teenage drivers (16-18 years old), middle-aged drivers (35-50 years old) and older drivers (65-77 years old), were recruited and were then asked to drive through a sequence of rural thruSTOP controlled intersections, with and without the intervention. The objectives were to evaluate the safety effectiveness and efficiency of different RICWS sign options to promote safe gap acceptance at different types of rural intersections (i.e., varying levels of mainstream traffic volume and intersection visibility). The research findings revealed an overall safety benefit of the intervention; however, potential risks were also identified associated with its deployment. It was also observed that drivers’ perceptions did not all match their actual driving behaviors.

Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 14

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Book Description
The Minnesota Department of Transportation (MnDOT) developed the Rural Intersection Conflict Warning System (RICWS) Deployment project to reduce crashes at stop-controlled intersections. It is a statewide, Intelligent Transportation Systems project that will deploy intersection conflict warning systems at up to 50 rural, stop-controlled intersections. These systems will address crashes at stop-controlled intersections by providing drivers - on both the major and minor road - with a dynamic warning of other vehicles approaching the intersection. The first RICWS site, Trunk Highway 7 and Carver County CSAH 33, was evaluated for a period of 34 days to demonstrate the reliability of the system. During this period, the RICWS signs, beacons, and any other displays were covered and unavailable for driver interaction. The University of Minnesota installed a portable Intersection Surveillance System (ISS) and collected data from the RICWS as well as from the ISS. The data collected from the RICWS was validated against data recorded by the ISS in order to determine the accuracy and reliability of the RICWS. The RICWS was determined to have an activation rate of 99.98%, and meets the MnDOT specification of 99.95% sign activation rate. Sign activations were also validated using video captured at the site and a sample of times for valid activations and valid periods when the sign was inactive were recorded.

Author:
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 12

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Author: John Hourdos
Publisher:
ISBN:
Category : Traffic safety
Languages : en
Pages : 0

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Book Description
This study evaluates the first and a second implementations of the MN-QWARN queue warning algorithm developed by Hourdos et al. (1). This algorithm was developed to detect specific crash prone conditions created by traffic oscillations (shockwaves) on freeway systems. The MN-QWARN system was specifically calibrated for the freeway studied in Hourdos et al. (1) and was moved to a new location with minimal calibration. This evaluation found that the right-side model had a detection rate of 25% and a false alarm rate of 36%. The left-side model had a detection rate of 64% and a false alarm rate of 23%. We also note high over-warning rates on both lanes. Based on these findings, we recommend recalibrating the MN-QWARN algorithm at this location to examine improvements in performance.

Author:
Publisher:
ISBN:
Category : Decision support systems
Languages : en
Pages : 418

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Book Description
This project entailed the design, development, testing, and evaluation of intersection decision support (IDS) systems to address straight crossing path (SCP) intersection crashes. This type of intersection crash is responsible for more than 100,000 crashes and thousands of fatalities each year. In developing these IDS systems for both signalized and stop-controlled intersections, a top-down systems approach was used that determined the necessary system functions and evaluated the capability of different technologies to perform those functions. Human factors tests were also conducted that evaluated the effectiveness of warning algorithms and infrastructure-based driver-infrastructure interfaces in eliciting a stopping response from drivers about to be involved in an SCP intersection crash. Results indicated that further technological development is needed for the sensing and intersection state IDS functions. Furthermore, infrastructure-based warning interfaces tested were greatly outperformed by previously-tested in-vehicle warnings. Thus, future research on IDS systems should focus on their infrastructure-cooperative configuration, where the system supports an in-vehicle warning.

Author: Max Moreland
Publisher:
ISBN:
Category : Roads
Languages : en
Pages : 0

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Book Description
Between 2010 and 2022, 83 J-turn intersections were installed on Minnesota Department of Transportation (MnDOT) roadways. The J-turn is an alternative intersection layout that is intended to provide safety benefits by limiting the number of points within an intersection that two or more vehicle paths might intersect. Before-after analyses at J-turns and control sites were conducted and compared. With the installation of a J-turn, the analyses found decreases in fatal and serious injury crashes, angle crashes, and fatal and serious injury angle crashes. The large decreases in severe crashes at J-turn locations indicate the J-turn can be an effective safety treatment. The analysis also found J-turns have lower crash rates for key crash types as compared to low-volume interchanges and rural, high-speed signalized intersections.

Author: Stefan Atev
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 19

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Book Description
Monitoring traffic intersections in real- time as well as predicting possible collisions is an important first step towards building an early collision warning system. We present the general vision methods used in a system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. A novel method for three-dimensional vehicle size estimation is presented. We also describe a method for target localization in real-world coordinates, which allows for sequential incorporation of measurements from multiple cameras into a single target's state vector. Additionally, a fast implementation of a false-positive reduction method for the foreground pixel masks is developed. Finally, a low-overhead collision prediction algorithm using the time-as-axis paradigm is presented. The proposed system was able to perform in real-time on videos of quarter-VGA ($320\times240$) resolution. The errors in target position and dimension estimates in a test video sequence are quantified.

Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of Transportation and Related Agencies Appropriations
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 1884

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Author: John Brewer
Publisher: Createspace Independent Publishing Platform
ISBN: 9781495236822
Category : Technology & Engineering
Languages : en
Pages : 48

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Book Description
This report describes the system capability assessment for the Cooperative Intersection Collision Avoidance System for Violations (CICAS-V) based on data collected from objective tests and a pilot test. The CICAS-V is a vehicle-to-infrastructure system that provides visual, audio, and haptic (brake pulse) warnings when a vehicle is in danger of violating a traffic signal or stop sign at an intersection. A series of objective tests were conducted at the Virginia Tech Transportation Institute. Each test was defined by an initial geometry, a set of validity constraints (such as the sufficient GPS accuracy), and a set of pass/fail criteria. The test series investigated the ability to appropriately warn or not warn at various speeds, in appropriately discerned lanes, under dynamic lane changes, under changing signal conditions, and in the presence of multiple equipped intersections. A pilot test was run with nearly 100 naïve drivers on a two-hour prescribed course in the Blacksburg, VA area.