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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam, Netherlands :
Elsevier,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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
- 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
- 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
- 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
- 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