Towards Connected and Autonomous Vehicle Highways - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Towards Connected and Autonomous Vehicle Highways write by Umar Zakir Abdul Hamid. This book was released on 2021-06-17. Towards Connected and Autonomous Vehicle Highways available in PDF, EPUB and Kindle. This book combines comprehensive multi-angle discussions on fully connected and automated vehicle highway implementation. It covers the current progress of the works towards autonomous vehicle highway development, which encompasses the discussion on the technical, social, and policy as well as security aspects of Connected and Autonomous Vehicles (CAV) topics. This, in return, will be beneficial to a vast amount of readers who are interested in the topics of CAV, Automated Highway and Smart City, among many others. Topics include, but are not limited to, Autonomous Vehicle in the Smart City, Automated Highway, Smart-Cities Transportation, Mobility as a Service, Intelligent Transportation Systems, Data Management of Connected and Autonomous Vehicle, Autonomous Trucks, and Autonomous Freight Transportation. Brings together contributions discussing the latest research in full automated highway implementation; Discusses topics such as autonomous vehicles, intelligent transportation systems, and smart highways; Features contributions from researchers, academics, and professionals from a broad perspective.
Autonomous Vehicles
Autonomous Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Autonomous Vehicles write by Clifford Winston. This book was released on 2020-06-30. Autonomous Vehicles available in PDF, EPUB and Kindle. Better public policies can make the road smoother for self-driving vehicles and the society that soon will depend on them. Whether you find the idea of autonomous vehicles to be exciting or frightening, the truth is that they will soon become a significant everyday presence on streets and highways—not just a novel experiment attracting attention or giggles and sparking fears of runaway self-driving cars. The emergence of these vehicles represents a watershed moment in the history of transportation. If properly encouraged, this innovation promises not only to vastly improve road travel and generate huge benefits to travelers and businesses, but to also benefit the entire economy by reducing congestion and virtually eliminating vehicle accidents. The impacts of autonomous vehicles on land use, employment, and public finance are likely to be mixed. But widely assumed negative effects are generally overstated because they ignore plausible adjustments by the public and policymakers that could ameliorate them. This book by two transportation experts argues that policy analysts can play an important and constructive role in identifying and analyzing important policy issues and necessary steps to ease the advent of autonomous vehicles. Among the actions that governments must take are creating a framework for vehicle testing, making appropriate investments in the technology of highway networks to facilitate communication involving autonomous vehicles, and reforming pricing and investment policies to enable operation of autonomous vehicles to be safe and efficient. The authors argue that policymakers at all levels of government must address these and other issues sooner rather than later. Prompt and effective actions outlined in this book are necessary to ensure that autonomous vehicles will be safe and efficient when the public begins to adopt them as replacements for current vehicles.
Are We There Yet?
Are We There Yet? - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Are We There Yet? write by Michael A. Pagano. This book was released on 2020-12-14. Are We There Yet? available in PDF, EPUB and Kindle. Autonomous vehicle (AV) technology represents a possible paradigm shift in our way of life. But complex challenges and obstacles impose a reality at odds with the utopian visions propounded by AV enthusiasts in the private and public sectors. The new volume in the Urban Agenda series examines the technological questions still surrounding autonomous vehicles and the uncertain societal and legislative impact of widespread AV adoption. Assessing both short- and long-term concerns, the authors probe how autonomous vehicles might change transportation but also land use, energy consumption, mass transit, commuter habits, traffic safety, job markets, the freight industry, and supply chains. At the same time, the essays discuss opportunities for industry, researchers, and policymakers to make the autonomous future safer, more efficient, and more mobile. Contributors: Austin Brown, Stan Caldwell, Chris Hendrickson, Kazuya Kawamura, Taylor Long, and P. S. Srira.
Autonomous Driving
Autonomous Driving - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Autonomous Driving write by Markus Maurer. This book was released on 2016-05-21. Autonomous Driving available in PDF, EPUB and Kindle. This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
Novel Off-board Decision-making Strategy for Connected and Autonomous Vehicles
Novel Off-board Decision-making Strategy for Connected and Autonomous Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Novel Off-board Decision-making Strategy for Connected and Autonomous Vehicles write by Zine El Abidine Kherroubi. This book was released on 2020. Novel Off-board Decision-making Strategy for Connected and Autonomous Vehicles available in PDF, EPUB and Kindle. Merging in the highway on-ramp is a significant challenge toward realizing fully automated driving (level 4 of autonomous driving). The combination of communication technology and autonomous driving technology, which underpins the notion of Connected Autonomous Vehicles (CAVs), may improve greatly safety performances when performing highway on-ramp merging. However, even with the emergence of CAVs vehicles, some keys constraints should be considered to achieve a safe on-ramp merging. First, human-driven vehicles will still be present on the road, and it may take decades before all the commercialized vehicles will be fully autonomous and connected. Also, on-board vehicle sensors may provide inaccurate or incomplete data due to sensors limitations and blind spots, especially in such critical situations. To resolve these issues, the present thesis introduces a novel solution that uses an off-board Road-Side Unit (RSU) to realize fully automated highway on-ramp merging for connected and automated vehicles. Our proposed approach is based on an Artificial Neural Network (ANN) to predict drivers' intentions. This prediction is used as an input state to a Deep Reinforcement Learning (DRL) agent that outputs the longitudinal acceleration for the merging vehicle. To achieve this, we first show how the road-side unit may be used to enhance perception in the on-ramp zone. We then propose a driver intention model that can predict the behavior of the human-driven vehicles in the main highway lane, with 99% accuracy. We use the output of this model as an input state to train a Twin Delayed Deep Deterministic Policy Gradients (TD3) agent that learns « safe » and « cooperative » driving policy to perform highway on-ramp merging. We show that our proposed decision-making strategy improves performance compared to the solutions proposed previously.
