Download or read book DATA DRIVEN OPTIMIZATION BASED TRANSPORTATION MODELS FOR CONNECTED AND AUTOMATED VEHICLES written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : This dissertation proposes a data-driven optimization-based framework to model traffic dynamics under uncertainty including travel demand, transportation network (i.e. route choice), and connected and automated driving dynamics (on freeways and arterials) using connected vehicle data though Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and Vehicle-to-Network (V2N) communications. To model travel demand dynamics, this dissertation proposes Distributionally Robust Stochastic Optimization (DRSO) using V2N data. A challenge of modeling travel demand dynamics directly using the real-world V2N data is the incomplete and inaccurate trajectory records from the raw data due to technical and privacy issues. Through the proposed DRSO models, this dissertation offline reconstructs the missing choices of activity locations, durations, and paths using the partially observed trajectories from a real-world connected vehicle dataset. This dataset contains around 2,800 connected vehicles over two separate months in Southeast Michigan from the Safety Pilot Model Deployment (SPMD) project. For modeling route choice dynamics, this dissertation develops a Conditional Value-at-Risk (CVaR) based DRSO model for the route choice problem under the impacts of travel time uncertainties and travelers' risk attitudes using vehicle trajectory data from the SPMD dataset. The proposed CVaR-DRSO model offline estimates route choices under uncertainties by using a data-driven uncertainty set. For modeling connected and automated driving, this dissertation develops DRSO-based Model Predictive Control (MPC) models with Distributionally Robust Chance Constraints (DRCC). For the connected and automated driving on freeways (i.e. uninterrupted flow facilities), a DRSO-DRCC based MPC model is proposed to improve the stability, robustness, and safety for the online longitudinal cooperative automated driving of a platoon of Connected and Automated Vehicles (CAVs) under uncertain traffic conditions by using real-time V2V data. For the energy efficient connected and automated driving on arterials (i.e. interrupted flow facilities), a DRSO-DRCC based MPC model is developed to improve the safety, energy, efficiency, driving comfort, and robustness of the automated driving on signalized arterials under traffic uncertainties by using real-time V2I and V2V data. This dissertation provides a comprehensive data-driven optimization-based framework to model the traffic dynamics using the connected vehicle data and improve the connected and automated driving control under uncertainty based on CAV technologies.

Download or read book Data Driven Solutions to Transportation Problems written by Yinhai Wang and published by Elsevier. This book was released on 2018-12-04 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more. Synthesizes the newest developments in data-driven transportation science Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed Useful for both theoretical and technically-oriented researchers

Download or read book Advances in Data driven Models for Transportation written by Yee Sian Ng and published by . This book was released on 2019 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rising popularity of ride-sharing and alternative modes of transportation, there has been a renewed interest in transit planning to improve service quality and stem declining ridership. However, it often takes months of manual planning for operators to redesign and reschedule services in response to changing needs. To this end, we provide four models of transportation planning that are based on data and driven by optimization. A key aspect is the ability to provide certificates of optimality, while being practical in generating high-quality solutions in a short amount of time. We provide approaches to combinatorial problems in transit planning that scales up to city-sized networks. In transit network design, current tractable approaches only consider edges that exist, resulting in proposals that are closely tethered to the original network. We allow new transit links to be proposed and account for commuters transferring between different services. In integrated transit scheduling, we provide a way for transit providers to synchronize the timing of services in multimodal networks while ensuring regularity in the timetables of the individual services. This is made possible by taking the characteristics of transit demand patterns into account when designing tractable formulations. We also advance the state of the art in demand models for transportation optimization. In emergency medical services, we provide data-driven formulations that outperforms their probabilistic counterparts in ensuring coverage. This is achieved by replacing independence assumptions in probabilistic models and capturing the interactions of services in overlapping regions. In transit planning, we provide a unified framework that allows us to optimize frequencies and prices jointly in transit networks for minimizing total waiting time.

Download or read book Human Like Decision Making and Control for Autonomous Driving written by Peng Hang and published by CRC Press. This book was released on 2022-07-25 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.

Download or read book Connected and Autonomous Vehicles in Smart Cities written by Hussein T. Mouftah and published by CRC Press. This book was released on 2020-12-17 with total page 599 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive coverage of the five fundamental yet intertwined pillars paving the road towards the future of connected autonomous electric vehicles and smart cities. The connectivity pillar covers all the latest advancements and various technologies on vehicle-to-everything (V2X) communications/networking and vehicular cloud computing, with special emphasis on their role towards vehicle autonomy and smart cities applications. On the other hand, the autonomy track focuses on the different efforts to improve vehicle spatiotemporal perception of its surroundings using multiple sensors and different perception technologies. Since most of CAVs are expected to run on electric power, studies on their electrification technologies, satisfaction of their charging demands, interactions with the grid, and the reliance of these components on their connectivity and autonomy, is the third pillar that this book covers. On the smart services side, the book highlights the game-changing roles CAV will play in future mobility services and intelligent transportation systems. The book also details the ground-breaking directions exploiting CAVs in broad spectrum of smart cities applications. Example of such revolutionary applications are autonomous mobility on-demand services with integration to public transit, smart homes, and buildings. The fifth and final pillar involves the illustration of security mechanisms, innovative business models, market opportunities, and societal/economic impacts resulting from the soon-to-be-deployed CAVs. This book contains an archival collection of top quality, cutting-edge and multidisciplinary research on connected autonomous electric vehicles and smart cities. The book is an authoritative reference for smart city decision makers, automotive manufacturers, utility operators, smart-mobility service providers, telecom operators, communications engineers, power engineers, vehicle charging providers, university professors, researchers, and students who would like to learn more about the advances in CAEVs connectivity, autonomy, electrification, security, and integration into smart cities and intelligent transportation systems.

Download or read book Data Driven Traffic Engineering written by Hubert Rehborn and published by Elsevier. This book was released on 2020-10-23 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future. Provides an empirically-driven analysis of traffic measurements/congestion based on real-world data collected from a global fleet of vehicles Applies Kerner’s three-phase traffic theory to empirical data Offers a critical scientific understanding of the underlying concerns of traffic control in automated driving and intelligent transport systems

Download or read book Models and Technologies for Smart Sustainable and Safe Transportation Systems written by Stefano de Luca and published by BoD – Books on Demand. This book was released on 2021-07-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative and smart mobility systems are expected to make transportation systems more sustainable, inclusive, and safe. Because of changing mobility paradigms, transport planning and design require different methodological approaches. Over twelve chapters, this book examines and analyzes Mobility as a Service (MaaS), travel behavior, traffic control, intelligent transportation system design, electric, connected, and automated vehicles, and much more.

Download or read book Data Analytics for Intelligent Transportation Systems written by Mashrur Chowdhury and published by Elsevier. This book was released on 2017-04-05 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Download or read book Demand for Emerging Transportation Systems written by Constantinos Antoniou and published by Elsevier. This book was released on 2019-12-02 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns comprehensively examines the concepts and factors affecting user quality-of-service satisfaction. The book provides an introduction to the latest trends in transportation, followed by a critical review of factors affecting traditional and emerging transportation system adoption rates and user retention. This collection includes a rigorous introduction to the tools necessary for analyzing these factors, as well as Big Data collection methodologies, such as smartphone and social media analysis. Researchers will be guided through the nuances of transport and mobility services adoption, closing with an outlook of, and recommendations for, future research on the topic. This resource will appeal to practitioners and graduate students. Examines the dynamics affecting adoption rates for public transportation, vehicle-sharing, ridesharing systems and autonomous vehicles Covers the rationale behind travelers’ continuous use of mobility services and their satisfaction and development Includes case studies, featuring mobility stats and contributions from around the world

Download or read book Intelligent Control of Connected Plug in Hybrid Electric Vehicles written by Amir Taghavipour and published by Springer. This book was released on 2018-09-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Download or read book Intelligent Transportation Systems and Connected and Automated Vehicles written by and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: TRB?s Transportation Research Record: Journal of the Transportation Research Board, No. 2559, includes 15 papers that explore information related to intelligent transportation systems, including: National Survey Identifying Gaps in Consumer Knowledge of Advanced Vehicle Safety Systems, Capturing the Benefits of a Variable Advisory Speed System in Portland, Oregon: Empirical Before and After Evaluation, Lane Departure Warning and Prevention Systems in the U.S. Vehicle Fleet: Influence of Roadway Characteristics on Potential Safety Benefits, Assessing State Department of Transportation Readiness for Connected Vehicle?Cooperative Systems Deployment: Oregon Case Study, Asset-Lite Parking: Big Data Analytics in Development of Sustainable Smart Parking Solutions in Washington, D.C., Optimal Connectivity-Based Deployment of Roadside Units for Vehicular Networks in Urban Areas, Operational Concepts for Truck Maneuvers with Cooperative Adaptive Cruise Control, Determining the Readiness of Automated Driving Systems for Public Operation: Development of Behavioral Competency Requirements, Traffic Information System to Deliver In-Vehicle Messages on Predefined Routes: Use of Dedicated, Short-Range Vehicle-to-Vehicle Communication, Parking Sensing and Information System: Sensors, Deployment, and Evaluation, Use of Speed Measurements for Highway Traffic State Estimation: Case Studies on NGSIM Data and Highway A20, Netherlands, Information Age in Forward Collision Warning Based on Vehicle-to-Vehicle Communications: Sensitivity Analysis, Modeling Evaluation of Eco?Cooperative Adaptive Cruise Control in Vicinity of Signalized Intersections, Bionic Lane Driving of Autonomous Vehicles in Complex Urban Environments: Decision-Making Analysis, and Investigating Driver Response Time to Freeway Merge Advisories in a Connected Vehicle Environment.

Download or read book Leverage Data Streams for Better Operational Decision Making written by Christoph Prinz and published by Cuvillier Verlag. This book was released on 2023-05-31 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart sustainable mobility ecosystems promise to address society’s expectation of environmentally friendly on-demand mobility. While the technology stack to build such ecosystems is just around the corner in the form of connected, automated, and electric vehicles, strategies to deploy and operate such fleets in a coordinated manner must still be advanced. Most of such optimization challenges highly depend on the nature of customer demand, vehicle supply, and environmental influences. Hence, this dissertation investigates how available data streams from mobility ecosystems can be leveraged in Information Systems to solve related decision problems. The overarching goal of this work is to generate design knowledge to improve vehicle availability, provider profitability, and environmental sustainability for such ecosystems. Applying quantitative methods to real-world data from shared vehicle systems generates insights into the nature of demand and supply. Combining it with an analysis of empirical research on vehicle relocation algorithms builds the foundation for two artifact designs. The first artifact enables the development and simulation-based evaluation of operation modes for vehicle fleets. The second artifact enables artificial intelligence-based decision support for the vehicle rebalancing problem. The insights are finally incorporated and generalized to a nascent design theory on data-enabled operational decision-making in the context of smart sustainable mobility environments. The findings have multifaceted implications for researchers concerned with data-enabled value creation in Green IS, shared economy and smart mobility, and business analytics and data science. Furthermore, guidance for fleet providers to improve system attractiveness and for society to experience the potential amount of vehicle access without personal ownership is provided.

Download or read book The End of Driving written by Bern Grush and published by Elsevier. This book was released on 2018-06-25 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: While many transportation and city planners, researchers, students, practitioners, and political leaders are familiar with the technical nature and promise of vehicle automation, consensus is not yet often seen on the impact that will result, or the policies and actions that those responsible for transportation systems should take. The End of Driving: Transportation Systems and Public Policy Planning for Autonomous Vehicles explores both the potential of vehicle automation technology and the barriers it faces when considering coherent urban deployment. The book evaluates the case for deliberate development of automated public transportation and mobility-as-a-service as paths towards sustainable mobility, describing critical approaches to the planning and management of vehicle automation technology. It serves as a reference for understanding the full life cycle of the multi-year transportation systems planning processes, including novel regulation, planning, and acquisition tools for regional transportation. Application-oriented, research-based, and solution-oriented rather than predict-and-warn, The End of Driving concludes with a detailed discussion of the systems design needed for accomplishing this shift. From the Foreword by Susan Shaheen: The authors ... extend potential solutions through a set of open-ended exercises after each chapter. Their approach is both strategic and deliberate. They lead the reader from definitions and context setting to the transition toward automation, employing a range of creative strategies and policies. While our quest to understand how to deploy automated vehicles is just beginning, this book provides a thoughtful introduction to inform this evolution. Offers a workable public transit solution design melding the traditional “acquire-and-operate mode with the absorption of new technology Provides a step-by-step discussion of digital systems designs and effective regulation-by-data approaches needed for a new urban mobility Learning aids include case study scenarios, chapter objectives and discussion questions, sidebars and a glossary

Download or read book Automating Cities written by Brydon T. Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advancements in the use of automated systems in the design, construction, operation and future of the built environment and its occupants. It considers how the use of automated decision-making frameworks, artificial intelligence and other technologies of automation are presently impacting the practice of architects, engineers, project managers and contractors, and articulates the near future changes to workflows, legal frameworks and the wider AEC industry. This book surveys and compiles the use of city apps, robots that operate buildings and fabricate structural elements, 3D printing, drones, sensors, algorithms, and advanced prefabricated modules. The book also contributes to the growing literature on smart cities, and explores the impacts on data privacy and data sovereignty that arise through the use of sensors, digital twins and intelligent transport systems. It provides a useful reference for further research and development in the area of automation in design and construction to architects, engineers, project managers, superintendents and construction lawyers, contractors, policy makers, and students.

Download or read book Intelligent Cyber Physical Systems for Autonomous Transportation written by Sahil Garg and published by Springer Nature. This book was released on 2022-04-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive discussion on key topics related to the usage and deployment of AI in urban transportation systems including drones. The book presents intelligent solutions to overcome the challenges of static approaches in the transportation sector to make them intelligent, adaptive, agile, and flexible. The book showcases different AI-deployment models, algorithms, and implementations related to intelligent cyber physical systems (CPS) along with their pros and cons. Even more, this book provides deep insights into the CPS specifically about the layered architecture and different planes, interfaces, and programmable network operations. The deployment models for AI-based CPS are also included with an aim towards the design of interoperable and intelligent CPS architectures by researchers in future. The authors present hands on practical implementations, deployment scenarios, and use cases related to different transportation scenarios. In the end, the design and research challenges, open issues, and future research directions are provided.

Download or read book Artificial Intelligence Driven Geographies written by Seyed Navid Mashhadi Moghaddam and published by Springer Nature. This book was released on with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Updating Regional Transportation Planning and Modeling Tools to Address Impacts of Connected and Automated Vehicles written by Johanna Zmud and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Vol 1: Forecasting Travel Behavior in the Context of Connected and Automated Vehicles...Definitions of Automated Vehicles and Connected Vehicles...Framework for Planning and Modeling CAVs...Planning Context...Modeling Systems...Communicating under Uncertainty...Conclusions Vol 2: Introduction...Definitions of CAVs and Current Status...Uncertainties Associated with CAVs...Framework for Planning and Modeling CAVs...Planning in the Context of Uncertainty...Adapting Trip=-Based Models to Address CAVs...Adapting Disaggregate/Dynamic Models to Address CAVs...Adapting Strategic Models to Address CAVs...Communicationg in an Uncertain Environment