Roadway Safety Tools for Local Agencies

Roadway Safety Tools for Local Agencies
Author: Eugene Madison Wilson
Publisher: Transportation Research Board
Total Pages: 180
Release: 2003
Genre: Roads
ISBN: 0309069688

TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 321: Roadway Safety Tools for Local Agencies examines the safety tools and procedures that are practical and relatively easy to apply, and that can be implemented by agencies with limited financial support and personnel. Recognizing the wide variation in the operations and responsibilities of local agencies, the report acknowledges that the level of expertise in transportation safety analysis also varies greatly.

Video Based Machine Learning for Traffic Intersections

Video Based Machine Learning for Traffic Intersections
Author: Tania Banerjee
Publisher: CRC Press
Total Pages: 213
Release: 2023-10-17
Genre: Computers
ISBN: 1000969770

Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts

V2V/V2I Communications for Improved Road Safety and Efficiency

V2V/V2I Communications for Improved Road Safety and Efficiency
Author: Ronald K Jurgen
Publisher: SAE International
Total Pages: 185
Release: 2012-08-02
Genre: Technology & Engineering
ISBN: 0768078059

Millions of automobile accidents occur worldwide each year. Some of the most serious are rear-end crashes, side crashes within intersections, and crashes that occur when cars change lanes or drift into a lane. The holy grail of traffic safety is to avoid automobile accidents altogether. To that end, major automakers, governments, and universities are working on systems that allow vehicles to communicate with one another as well as the surrounding infrastructure (V2V/V2I for short). These systems show promise for such functions as intersection assist, left-turn assist, do-not-pass warning, advance warning of a vehicle braking ahead, forward-collision warning, and blind-spot/lane-change warning. This compendium explores the challenges in developing these systems and provides the latest developments in V2V/V2I technology. It begins with a series of overview news stories and articles from SAE’s magazines on the progress in this technology. This is followed by a series of technical papers on V2V/V2I dealing with the many technical aspects of design of these systems as well as discussions of such key issues as the need for extreme reliability assurances and traffic congestion overloads on the systems. Some of most interesting discussions in the book include: • Overview of a large-scale test in Germany to address reliability. • Effectiveness of different antennas and receivers that are used in various intersections settings, such as intersections where there are tall buildings or no buildings, and where high transmission power lines are located that can cause signal interference. • Various ways to communicate between vehicles and how messages are relayed to drivers. • Dedicated short range communication protocol for vehicle safety applications, which shows promise for combining and processing large amounts of information. Editor Ronald K. Jurgen prepared this book to be of use to engineers at automakers and electronic component suppliers; software engineers; computer systems analysts and architects; academics and researchers within the electronics, computing, and automotive industries; legislators, managers and other decision-makers in the government highway sector; traffic safety professionals; and insurance and legal practitioners. Mr. Jurgen served on the editorial staff of IEEE Spectrum for 30 years and is the editor of several electronics-related handbooks and several other electronics-related compendiums published by SAE International.