Road Traffic

This informative and practical guide covers major changes in road traffic law, and provides legal practitioners working in this complex and demanding area of Irish law with an indispensable source of reference material. Road Traffic Law: The 1961-2011 Road Traffic Acts: Annotated Legislation sets out the annotated Road Traffic Acts covering a period of 50 from 1961 to 2011 and covers all relevant case law and Statutory Instruments. Includes reference to litigation on Intoxicants, dangerous driving and other areas of Road Traffic Law. This title covers both practice and procedure and each section is annotated fully and cross referenced. Robert Pierse BCL., LLB., Dip. Soc. Sc., Dip E.I.A, is a solicitor in private practice for over 50 years.

Road traffic offences are those which are connected with the ownership, driving or control of mechanically-propelled vehicles in public places, including drunken, dangerous and careless driving. Over 90% of prosecutions in the District Courts are road related. 1961-2017 Road Traffic Legislation sets out annotated road traffic legislation from 1961 to 2017 and covers all relevant case law and Statutory Instruments, which makes it an ideal book for solicitors, barristers and Gardaí. This new edition includes reference to litigation on intoxicants, dangerous driving, careless driving and drug driving along with many other areas of Road Traffic Law. This title covers both practice and procedure and each section is annotated fully and cross referenced. The layout is user-friendly and where relevant makes reference to earlier volumes. This is crucial as road traffic law is a vital part of many smaller solicitors' firms' daily work and this title provides them with annotated legislation in an area rife with difficulty as the legislation is piecemeal and often contradictory. Many Statutory Instruments and Acts are created in this area: some enacted in full, others not. This book updates the practitioner on this thorny area of law and points them to relevant case law where necessary.

In Road Traffic Liability in China: A View from Law and Economics Yu Yan offers an in-depth analysis of the Chinese road traffic liability system, with other alternative accident prevention and compensation systems from a view of law and economics.

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

Every day thousands of people are killed and injured on our roads. Millions of people each year will spend long weeks in the hospital after severe crashes and many will never be able to live, work or play as they used to do. Current efforts to address road safety are minimal in comparison to this growing human suffering. This report presents a comprehensive overview of what is known about the magnitude, risk factors and impact of road traffic injuries, and about ways to prevent and lessen the impact of road crashes. Over 100 experts, from all continents and different sectors -- including transport, engineering, health, police, education and civil society -- have worked to produce the report. Charts and tables.

Global Practices on Road Traffic Signal Control is a valuable reference on the current state-of-the-art of road traffic signal control around the world. The book provides a detailed description of the common principles of road traffic signal control using a well-defined and consistent format that examines their application in countries and regions across the globe. This important resource considers the differences and special considerations across countries, providing useful insights into selecting control strategies for signal timing at intersections and pedestrian crosswalks. The book's authors also include success stories for coping with increasing traffic-related problems, examining both constraints and the reasons behind them. Presents a comprehensive reference on country-by-country practices on road traffic signal control Compiles and compares approaches across countries Covers theories and common principles Examines the most current systems and their implementation

Examine the Prevalence and Geography of Road CollisionsSpatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them. Written by internationally known experts in the field of transport geography, the bo

This publication (volume LVI) presents annual statistics on road traffic accidents and provides comparable data on causes, types, and results of accidents in Europe, Canada, and the United States. Data are organized by nature of accident and surroundings; accidents while under the influence of alcohol; and the number of persons killed or injured, by category or road user and age group. As background data, figures on the number of road vehicles in use and vehicle-kilometers run by road vehicles are also provided along with estimates of population and distribution by age group. This annual publication contains important statistical information for those involved in transportation planning and road safety issues.