In Curbing Traffic: The Human Case for Fewer Cars in Our Lives, mobility experts Melissa and Chris Bruntlett chronicle their experience living in the Netherlands and the benefits that result from treating cars as visitors rather than owners of the road. They weave their personal story with research and interviews with experts and Delft locals to help readers share the experience of living in a city designed for people. Their insights will help decision makers and advocates to better understand and communicate the human impacts of low-car cities: lower anxiety and stress, increased independence, social autonomy, inclusion, and improved mental and physical wellbeing. Curbing Traffic provides relatable, emotional, and personal reasons why it matters and inspiration for exporting the low-car city.
The UR:BAN MV project funded by the German Federal Ministry for Economic Affairs and Energy BMWi focused specifically on the user of future vehicle assistance and information systems. In the case of advanced driver assistance systems for urban areas, the primary emphasis is safety in combination with efficiency and comfort. Research institutes and automotive industry have investigated human-vehicle interaction and behaviour of different traffic participants.This book gives a unique and comprehensive insight into the results. Driver assistance and information systems were optimized for use in urban settings. Furthermore, innovative test regimes for controllability testing and new evaluation techniques like networked simulators and virtual reality test-beds are described including statistical methodologies.
This book introduces the concepts of mobility data and data-driven urban traffic monitoring. A typical framework of mobility data-based urban traffic monitoring is also presented, and it describes the processes of mobility data collection, data processing, traffic modelling, and some practical issues of applying the models for urban traffic monitoring. This book presents three novel mobility data-driven urban traffic monitoring approaches. First, to attack the challenge of mobility data sparsity, the authors propose a compressive sensing-based urban traffic monitoring approach. This solution mines the traffic correlation at the road network scale and exploits the compressive sensing theory to recover traffic conditions of the whole road network from sparse traffic samplings. Second, the authors have compared the traffic estimation performances between linear and nonlinear traffic correlation models and proposed a dynamical non-linear traffic correlation modelling-based urban traffic monitoring approach. To address the challenge of involved huge computation overheads, the approach adapts the traffic modelling and estimations tasks to Apache Spark, a popular parallel computing framework. Third, in addition to mobility data collected by the public transit systems, the authors present a crowdsensing-based urban traffic monitoring approach. The proposal exploits the lightweight mobility data collected from participatory bus riders to recover traffic statuses through careful data processing and analysis. Last but not the least, the book points out some future research directions, which can further improve the accuracy and efficiency of mobility data-driven urban traffic monitoring at large scale. This book targets researchers, computer scientists, and engineers, who are interested in the research areas of intelligent transportation systems (ITS), urban computing, big data analytic, and Internet of Things (IoT). Advanced level students studying these topics benefit from this book as well.
Urban Transportation Systems is a complete guide to the types of transportation available to communities together with the technical tools needed to evaluate each for given circumstances.
Driving is a fact of life. We are all spending more and more time on the road, and traffic is an issue we face everyday. This book will make you think about it in a whole new light. We have always had a passion for cars and driving. Now Traffic offers us an exceptionally rich understanding of that passion. Vanderbilt explains why traffic jams form, outlines the unintended consequences of our attempts to engineer safety and even identifies the most common mistakes drivers make in parking lots. Based on exhaustive research and interviews with driving experts and traffic officials around the globe, Traffic gets under the hood of the quotidian activity of driving to uncover the surprisingly complex web of physical, psychological and technical factors that explain how traffic works.
