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Technology Assessment: Emerging Automotive Technologies for the Future

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Infrastructure and Technology Management

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Abstract

The continuous increase in human population is accompanied with more transportation demand. As a result, the pressure on transportation infrastructure has increased beyond the ability of infrastructure to catch up, leading to increased number of traffic incidents and road congestions [45, 46]. In the USA, there are more than 6 million traffic accidents, including fatality accidents that kill more than 30 thousand people every year [47]. Also, road congestion leads to a cost of about 4.8 billion hours of time, 1.9 billion gallons of wasted fuel (equivalent to 2 months operation of the Alaska Pipeline), and $101 billion in combined delay and fuel costs, aside from cost associated with travel time and dependability [17, 47, 49].

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Notes

  1. 1.

    In the Matter of Amendment of Parts 2 and 90 of the Commission’s Rules to Allocate the 5.850–5.925 GHz Band to the Mobile Service for Dedicated Short-Range Communications of Intelligent Transportation Services, Report and Order, 14 FCC Rcd 18,221 (1999).

  2. 2.

    Radio frequencies are grouped into bands and are measured in units of hertz, or cycles per second. The term megahertz (MHz) refers to millions of hertz and gigahertz (GHz) to billions of hertz. The hertz unit of measurement is used to refer to both the quantity of spectrum (such as 75 MHz of spectrum) and the frequency bands (such as the 5.850–5.925 GHz band).

  3. 3.

    Amendment of the Commission’s Rules Regarding Dedicated Short-Range Communication Services in the 5.850–5.925 GHz Band (5.9 GHz Band); Amendment of Parts 2 and 90 of the Commission’s Rules to Allocate the 5.850–5.925 GHz Band to Mobile Service for Dedicated Short Range Communications of Intelligent Transportation Services; WT Docket No. 01–90, ET Docket No. 98–95, Report and Order, 19 FCC Rcd 2458 (2004) (FCC 03–324).

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Acknowledgment

We are grateful for the help we received from Felix Sie during the initial research phase of this project.

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Correspondence to Rafaa Khalifa .

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Appendix A

Appendix A

Table 12.6 Relative distance matrix for each scenario and rank for each alternative

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Puthanpura, A.K., Khalifa, R., Chan, L., Barham, H. (2018). Technology Assessment: Emerging Automotive Technologies for the Future. In: Daim, T., Chan, L., Estep, J. (eds) Infrastructure and Technology Management. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-319-68987-6_12

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