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Autonomous Vehicles and Future Mobility /

Autonomous Vehicles and Future Mobility presents novel methods for examining the long-term effects on individuals, society, and on the environment for a wide range of forthcoming transport scenarios, such as self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobil...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Coppola, Pierluigi
Otros Autores: Eszterg�ar-Kissmokos, Domokos
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, 2019.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Coppola, Pierluigi. 
245 1 0 |a Autonomous Vehicles and Future Mobility /  |c Pierluigi Coppola, Domokos Eszterg�ar-Kiss 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c 2019. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF file page (EBSCO, viewed June 20, 2019). 
505 0 |a Front Cover; Autonomous Vehicles and Future Mobility; Copyright; Contents; Contributors; Introduction; 1: Autonomous vehicles and future mobility solutions; 1 Introduction; 2 Background; 2.1 Socio-economic trends; 2.2 Vehicle technological innovations; 3 Connected and automated vehicles deployment; 3.1 Evolutionary and revolutionary paths; 4 Future mobility scenarios; 4.1 Mobility as a service; 5 Conclusions and perspectives; References; 2: Where will self-driving vehicles take us? Scenarios for the development of automated vehicles with Sweden as a case study; 1 Introduction 
505 8 |a 1.1 Background1.2 Definitions; 1.3 Contribution; 2 Related work; 2.1 Simulation studies; 2.2 Future scenarios for SDVs; 3 Method; 3.1 The scenario planning method; 3.2 The scenario development process; 3.3 Consequence analysis; 4 Results; 4.1 The certain development: Where Sweden is going; 4.2 Strategic uncertainties; 4.3 The scenarios; 4.3.1 Same, same, but different; 4.3.2 Sharing is the new black; 4.3.3 Follow the path; 4.3.4 What you need is what you get; 4.4 The development of SDVs; 5 Conclusions and future work; 6 Notes; Acknowledgments; References 
505 8 |a 3: Traffic flow with autonomous vehicles in real-life traffic situations1 Introduction; 1.1 Previous studies; 1.2 Scope of study; 2 Method; 3 Results; 3.1 The dataset; 3.2 Headway settings influence saturation flow rates; 4 Discussion; 5 Conclusion; References; 4: Demand-oriented mobility solutions for rural areas using autonomous vehicles; 1 Introduction; 2 Background; 2.1 Definition and characteristics of rural areas in Germany; 2.2 Autonomous driving; 2.3 Trends on transport demand and supply; 3 Model scope and structure; 4 Data utilized; 4.1 Stops; 4.2 Demand 
505 8 |a 4.3 Supply4.4 Routing; 4.5 Dispatcher; 5 Model results; 6 End-user cost estimation; 7 Final remarks; References; 5: Will self-driving cars impact the long-term investment strategy for the Dutch national trunk road system?; 1 Introduction; 1.1 Structure of the chapter; 2 Implementing self-driving cars in the national model; 3 Definition of the self-driving car scenarios; 3.1 Growth in the base scenario; 4 Results; First-order results; 4.1.1 Discussion of the first-order results; 4.2 Second-order results; 4.2.1 Discussion of the second-order effects; 5 Conclusions 
505 8 |a 6 NotesReferences; 6: What will autonomous cars do to the insurance companies?; 1 Introduction; 2 Private cars; 3 Autonomous cars; 4 Shared cars; 5 Mobility as a service (MaaS); 6 Looking back and forward; 7 Scenario: Mobility spot market for insurance in case of an accident in an MaaS environment; 7.1 Process step 1: Triggering the spot market; 7.2 Process step 2: A dynamic spot market determines optimal outcome; 7.2.1 Prerequisites; 7.2.2 Spot market scenario; 8 Conclusions; 9 Notes; 10 Iconography; References; 7: Demand analysis and willingness to use new mobility concepts 
520 |a Autonomous Vehicles and Future Mobility presents novel methods for examining the long-term effects on individuals, society, and on the environment for a wide range of forthcoming transport scenarios, such as self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobility as a service, multi-source transport data provision, and door-to-door mobility. With the development and realization of new mobility options comes change in long-term travel behavior and transport policy. This book addresses these impacts, considering such key areas as the attitude of users towards new services, the consequences of introducing new mobility forms, the impacts of changing work related trips, and more. By examining and contextualizing innovative transport solutions in this rapidly evolving field, the book provides insights into the current implementation of these potentially sustainable solutions. It will serve as a resource of general guidelines and best practices for researchers, professionals and policymakers. 
650 0 |a Automated vehicles. 
650 6 |a V�ehicules autonomes.  |0 (CaQQLa)000292338 
650 7 |a BUSINESS & ECONOMICS  |x Industries  |x Transportation.  |2 bisacsh 
650 7 |a TRANSPORTATION  |x Public Transportation.  |2 bisacsh 
650 7 |a Automated vehicles  |2 fast  |0 (OCoLC)fst01909261 
650 7 |a Autonomes Fahrzeug  |2 gnd  |0 (DE-588)7714938-5 
650 7 |a Mobilit�at  |2 gnd  |0 (DE-588)4039785-3 
650 7 |a Verkehrswirtschaft  |2 gnd  |0 (DE-588)4062992-2 
700 1 |a Eszterg�ar-Kissmokos, Domokos. 
776 0 8 |i Print version:  |a Coppola, Pierluigi.  |t Autonomous Vehicles and Future Mobility.  |d Amsterdam, Netherlands : Elsevier, 2019  |z 9780128176962  |z 0128176962  |w (OCoLC)1076248940 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128176962  |z Texto completo