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Risk Adverse Society

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Abstract

In the last few months, unmanned cars have made the headlines throughout the world, showing for instance fascinating Google or Mercedes Benz prototype cars. The reality is that driverless vehicles have been already part of our daily life but most ordinary citizens just didn’t know it. Because these vehicles were hidden behind unmanned metro operational center or were restricted to a few worldwide PRT driverless car systems, the idea that cars could be driven by a computer came as a surprise. Unmanned cars still have a long road to go before they become generalized on our roads. Before this, a continuum of new technologies will be brought to the market, creating increasingly more autonomous cars. Although some of automotive manufacturers are already picturing their cars as completely autonomous, we don’t believe that such a model will prevail. We strongly believe that the same model that is now applied in railways or PRTs will need to be adopted for unmanned cars to be successfully implemented. A system approach will be required based on safety standards, which will need to be homologated like in the railway sector. In fact, we will show that this industry throughout its history has dealt with safety and railway engineers have come up with four safety concepts, which will need to be applied: block interlocking, block signaling, integrity, and interoperability. We will describe thoroughly these principles and how the newer railway technologies, such as moving block, fulfill the safety requirements. In a second step, we will show the parallel between the two industries and how the railway principles need to be adapted to the specific technologies being developed for the automotive industry (i.e., VANET, WAVE, or CALM). In a system approach, we will portray the communication concepts (i.e., V2V, V2I, and V2C), network types (i.e., mesh), and communication technologies (802.11p; DSRC, 4G, or even 5G), which will allow all cars to communicate together and with the infrastructure. Besides these “automotive signaling” concepts, we will introduce sensors and explain the operating principles that will allow cars to maintain a virtual moving interlocking blocks, as well as integrity, a concept fundamental in platooning technology. In the last portion of this chapter, we will show what the blocking points to the adoption of driverless technology are. A long-term cost analysis of these technologies is made to find out when cost will stop being a barrier to adoption. Legal issues will also be addressed and we will suggest solutions to promote the advent of driverless cars. We believe that this advent is inevitable as it will reduce millions of deaths and injuries and will be plebiscited by a society increasingly risk adverse, especially in environments prone to fatalities such as roads.

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Notes

  1. 1.

    Kasai tribe of India; Author studied by Gneezy, Leonard and List (2008).

  2. 2.

    Gender differences in risk behavior: Does nurture matter. Author Alison L. Booth and Patrick j. Nolen (University of Essex/Australia) 2009 study.

  3. 3.

    World Factbook of the CIA (Public domain). https://www.cia.gov/library/publications/the-world-factbook/index.html.

  4. 4.

    Study published in 2013 by the Yale School of Medicine (If at Levy, assistant professor in comparative medicine and neurobiology at Yale, and colleagues).

  5. 5.

    The novel “The Caves of Steel”; Author Isaac Asimov, (1954).

  6. 6.

    A.E. Dick Howard; Wilson quarterly report (1981).

  7. 7.

    Global Plan for the Decade of Action for Road Safety 2011–2020, produced by the World Health Organization (WHO).

  8. 8.

    Comparing the Fatality Risks in United States Transportation Across Modes and Over Time; Author: Ian Savage; White paper published in Research in Transportation Economics: The Economics of Transportation Safety, volume 43(1), 2013.

  9. 9.

    IRTAD: Database including accident and traffic data and other safety indicators for 29 countries (2012). http://internationaltransportforum.org/irtadpublic/about.html.

  10. 10.

    Indian Railway Yearbooks; (2012 study).

  11. 11.

    Web page of Royal Society for Prevention of Accident (ROSPA) updated on 15/072013). http://www.rospa.com/faqs/detail.aspx?faq=298.

  12. 12.

    Smart Vehicles, Technologies, and Main Applications in Vehicular Ad hoc Networks; Author Anna Maria Vegni, Mauro Biagi and Roberto Cusani.

  13. 13.

    The novel Robots and Empire from Isaac Asimov; published by Doubleday Books in 1985.

  14. 14.

    Emerging Technologies: Autonomous Cars—Not If, But When; Source IHS Automotive forecasts; Date January 2, 2014. http://press.ihs.com/press-release/automotive/self-driving-cars-moving-industrys-drivers-seat.

  15. 15.

    David Chung, Driverless cars, whose liability; March 4, 2013.http://www.bennettphilp.com.au/content/driverless-cars-whose-liability.

  16. 16.

    Who Is at Fault When a Driverless Car Gets in an Accident? Author: John Villasenor (Published on April 23, 2014 in the Atlantic).http://m.theatlantic.com/john-villasenor/.

  17. 17.

    Report written by analysts Machina Research, “Connected Car Industry 2013” and commissioned by Telefónica SA.

  18. 18.

    CCTV: a Tool to support Public Transport Security; Factors to consider before installing or upgrading; UITP 2010, co-authors M. Babington, L. Barr, D. Bernard, K. Clark, G. Dunmore, B. Hart, N. Koide, T. Kritzer, G. Lucisano, J.C. Pinero, A. Silva Neves, K. Takemoto, J.P. Van Keymeulen, S. Van Themsche.

Abbreviations

AC and DC:

Alternating current and direct current

APM:

Automated people mover

ATC:

Automatic train control

ATO:

Automatic train operation

ATP:

Automatic train protection

ATS:

Automatic train supervision

CAPEX and OPEX:

Capital expenses and operational expenses

CCTV:

Closed-circuit television

CBTC:

Communication-based train control

CALM:

Continuous air-interface, long and medium range

DSRC:

Dedicated short-range communications

DVR:

Digital video recorder

DTO:

Driverless train operation

EMU:

Electrical multiple unit

ETMS:

Electronic train management system

ETD:

End of train device

EGNOS:

European Geostationary Navigation Overlay Service

ERTMS:

European Rail Traffic Management System

ETCS:

European Train Control System

EDR:

Event data recorder

GPS:

Global positioning system

GSM:

Global system for mobile communication

ITCS:

Incremental train control system

IP:

Internet protocol

IMS:

IP multimedia subsystem

JPEG:

Joint photographic experts group

LDW:

Lane departure warning

LMA:

Limit of movement authority

LTE/4G:

Long-term evolution/fourth generation

MADD:

Mother Against Drunk Driving

MPEG:

Moving Picture Experts Group

MSAS:

Multi-functional Satellite Augmentation System

NDGPS:

National Differential GPS

NHTSA:

National Highway Traffic Safety Administration

NTSC/PAL:

National Television System Committee/Phase Alternating Line

OCC:

Operational Control Centers

OCR:

Optical Character Recognition

PRT:

Personal rapid transit

PTC:

Positive train control

PFD:

Probability of failure on demand

RRF:

Risk reduction factor

SIL:

Safety integrity level

STO:

Semi-automatic train operation

SDP:

Service delivery platform

SOA:

Service oriented architecture

SIP:

Session Initiation Protocol

UTO:

Unattended train operation

UMT:

Universal Mobile Telecommunication

UPnP:

Universal Plug and Play

VCC:

Vehicle control center

VCU:

Vehicle control unit

VII:

Vehicle infrastructure integration

VOBC:

Vehicle on-board controller

V2C:

Vehicle-to-cloud

V2I:

Vehicle-to-infrastructure

V2V:

Vehicle-to-vehicle

VANET:

Vehicular ad hoc network

VoIP:

Voice over IP

WAAS:

Wide Area Augmentation System

WAVE:

Wireless Access in Vehicular Environments

WLAN:

Wireless Land Area Network

WHO:

World Health Organization

Wi-MAX:

Worldwide Interoperability for Microwave Access

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Correspondence to S. Van Themsche .

Company or Brand Names Stated in the Chapter

Company or Brand Names Stated in the Chapter

  • UITP (Union International des Transport Publics)

  • Matra (technology later purchased by Siemens)

  • VAL now part of Siemens’ portfolio of product

  • Westinghouse Electric Corporation

  • Volvo Group/AB Volvo

  • Audi AG

  • BMW

  • Mercedes Benz is a Trademark of Daimler AG

  • Google Inc.

  • Ultra Global PRT

  • Uber Inc.

  • Axa S.A.

  • Ford Motor Company

  • OnStarTM system: trade mark of General Motors

  • Street Views a trade mark of Google

  • General Motors Company

  • Toyota Motor Corporation

  • Chery Automobile Co. Ltd

  • Model i3 brand from BMW

  • Model S-Class: Trademark of Mercedes Benz

  • HIS Automotive

  • Navigant Consulting

  • Strategy Analytics

  • ABI Research

  • PricewaterhouseCoopers

  • Ferrari S.p.A.

  • Erickson

  • Cisco System Inc.

  • Huawei Technologies Co. Ltd.

  • Robert Bosch GmbH

  • Xerox Corporation

  • Econolite

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Van Themsche, S. (2016). Risk Adverse Society. In: The Advent of Unmanned Electric Vehicles. Springer, Cham. https://doi.org/10.1007/978-3-319-20666-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-20666-0_2

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