Determination of the Offset Distance Between Driveway Exits and Downstream U-turn Locations for Vehicles Making Right Turns Followed by U-turns

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 Lu
Publisher:
Total Pages: 194
Release: 2005
Genre: Driveways
ISBN:

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.

Evaluation of Safety Strategies at Signalized Intersections

Evaluation of Safety Strategies at Signalized Intersections
Author: Raghavan Srinivasan
Publisher: Transportation Research Board
Total Pages: 48
Release: 2011
Genre: Technology & Engineering
ISBN: 0309213452

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

Intelligent Data Engineering and Automated Learning – IDEAL 2019
Author: Hujun Yin
Publisher: Springer Nature
Total Pages: 376
Release: 2019-11-07
Genre: Computers
ISBN: 3030336174

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.