Author: Jian John LuPublisher:
ISBN:
Category : Left-turn lanes
Languages : en
Pages : 158
Book Description
Safety Evaluation of Right Turns Followed by U-turns as an Alternative to Direct Left Turns: Crash data analysis
Author: Jian John LuPublisher:
ISBN:
Category : Left-turn lanes
Languages : en
Pages : 158
Book Description
Safety Evaluation of Right Turns Followed by U-turns (4 Lanes Arterials) as an Alternative to Direct Left Turns
Author: Jian John LuPublisher:
ISBN:
Category : Left-turn lanes
Languages : en
Pages : 260
Book Description
Safety Evaluation of Right Turns Followed by U-turns as an Alternative to Direct Left Turns: Operational evaluation of right turns followed by U-turns as an alternative to direct left turns
Author: Operational Evaluation of Right Turns Followed by U-turns (4 Lane Arterials) as an Alternative to Direct Left Turns
Author: Jian John LuPublisher:
ISBN:
Category : Left-turn lanes
Languages : en
Pages : 244
Book Description
Operational Evaluation of Right Turns Followed by U-turns at Signalized Intersections (6 Or More Lanes) as an Alternative to Direct Left Turns
Author: Safety Evaluation of Right Turns Followed by U-turns at Signalized Intersections (6 Or More Lane Arterials) as an Alternative to Direct Left Turns
Author: Lu, Jian John LuPublisher:
ISBN:
Category : Left-turn lanes
Languages : en
Pages : 172
Book Description
Determination of the Offset Distance Between Driveway Exits and Downstream U-turn Locations for Vehicles Making Right Turns Followed by U-turns
Author: Jian John LuPublisher:
ISBN:
Category : Driveways
Languages : en
Pages : 194
Book Description
Florida increasingly uses restrictive medians and directional median openings on multi-lane highways to manage left turn egress maneuvers from driveways and side streets. By installing non-traversable medians and replacing full median openings with directional median openings at various locations, Florida prohibits direct left-turn exits onto some major arterials. The purpose of this research was to evaluate how the offset distance between driveway exits and downstream median openings or signalized intersections impacts traffic operational and safety performance. The primary objective is to determine optimum offset distances to facilitate driver use of Right Turn Followed by a U-Turn (RTUT) maneuvers, specifically investigating (1) traffic operational performance, based on the evaluation of vehicle travel time at various offset distances, and (2) safety performance, based on the evaluation of traffic conflicts and crash data. The focus of this research was on urban or suburban multi-lane divided arterials. Researchers studied the impacts of offset distance under four different scenarios: 4-lane divided roadways accommodating U-turns at median openings, 4-lane divided roadways accommodating U-turns at signalized intersections, 6 or more-lane divided roadways accommodating U-turns at median openings, and 6 or more-lane divided roadways accommodating U-turns at signalized intersections.
New Challenges for Sustainable Urban Mobility: Volume II
Author: Maurizio TiraPublisher: Springer Nature
ISBN: 3031624785
Category :
Languages : en
Pages : 444
Book Description
Evaluation of Safety Strategies at Signalized Intersections
Author: Raghavan SrinivasanPublisher: Transportation Research Board
ISBN: 0309213452
Category : Technology & Engineering
Languages : en
Pages : 48
Book Description
TRB’s National Cooperative Highway Research Program (NCHRP) Report 705: Evaluation of Safety Strategies at Signalized Intersections explores crash modification factors (CMFs) for safety strategies at signalized intersections. CMFs are a tool for quickly estimating the impact of safety improvements.
Intelligent Data Engineering and Automated Learning – IDEAL 2019
Author: Hujun YinPublisher: Springer Nature
ISBN: 3030336174
Category : Computers
Languages : en
Pages : 376
Book Description
This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.