Technology Roadmap, Maturity and Performance: Identification of Technology Issues to Realize Vehicle-Roadway Automation

  • James MisenerEmail author
  • Wei-Bin Zhang
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)


It is widely acknowledged that deployment of vehicle-highway automation is contingent on market forces technology readiness, but in this chapter we go one step further: what is vehicle-highway automation? One hand, it is described as an evolution of the sensor and perhaps communication technologies available for Advanced Driver Assistance Systems (ADAS) of today. On the other hand, it may be a highly-cooperative system. We therefore qualitatively examine two extreme systems—a free agent or autonomous vehicle and a highly-coordinated or platooning system—in light of six key considerations: (1) influence of operation policies, (2) desirable vehicle following distances, (3) interaction with normal, non-automated traffic, (4) vehicle coordination principles, (5) handling of hazards, and (6) what is expected of the driver (or system supervisor). We pose a series of questions on the practicability or the technology maturity of both these extreme systems. While we note that there may be dogmatic approaches, we instead suggest that these questions be posed as technology maturity litmus cases in system design. We suggest that the systems may initially lie somewhere between the two extreme cases but as (perhaps significant) time progresses, mature to one or both a free agent or platooning concept, and that safe, deployable systems must satisfactorily address these key considerations.


Automated driving Automation roadmap Traffic coordination Traffic Driver-vehicle interaction 


  1. 1.
    SAE Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems (2014).
  2. 2.
  3. 3.
    Gasser TM et al Legal consequences of an increase in vehicle automation (2013). Report on the research project F 1100.5409013.01 of the operational programme of the Federal Highway Research InstituteGoogle Scholar
  4. 4.
    Thorpe C et al (1997) Automated highways and the free agent demonstration. In: International symposium on robotics research, Oct 1997Google Scholar
  5. 5.
    Shladover SE (1996) Reasons for operating AHS vehicles in platoons, in P. A. Ioannou automated highway systems. Springer, New YorkGoogle Scholar
  6. 6.
    Bergenhem C, Pettersson H, Coelingh E, Englund C, Shladover S, Tsugawa S (2012) Overview of platooning systems. In: Proceedings of the 19th ITS world congress. Vienna, Austria, 22–26 Oct 2012Google Scholar
  7. 7.
    Nowakowski C, Shladover SE, Cody D et al (2011) Cooperative adaptive cruise control: testing drivers’ choices of following distances. California PATH research report, UCB-ITS-PRR-2011-11Google Scholar
  8. 8.
    Shladover SE (1979) Operation of automated guideway transit vehicles in dynamically reconfigured trains and platoons, UMTA-MA-0085-06-79-1,2&3. Springfield, VAGoogle Scholar
  9. 9.
    Carbaugh J et al (1999) Safety and capacity analysis of automated and manual highway systems. California, UCB-ITS-PRR-99-36Google Scholar
  10. 10.
    Hitchcock A (1995) Configuration and maneuvers in safety-consciously designed AHS configuration. PATH working report UCB-ITS-PWP-95-2Google Scholar
  11. 11.
    NAHSC Milestone 2 report: task C2 down-select system configurations and workshop #3, 12 Dec 1996Google Scholar
  12. 12.
    Swaroop D, Hedrick JK (1999) Constant spacing strategies for platooning in automated highway systems. J Dyn Syst Meas Control 121(3):462–470Google Scholar
  13. 13.
    1609.0-2013—IEEE guide for wireless access in vehicular environments (WAVE)—architecture (2013). IEEEGoogle Scholar
  14. 14.
    Varaiya P (1993) Smart cars on smart roads: problems of control. IEEE Trans Control 195–207Google Scholar
  15. 15.
    SAE J2735 (2015)—Dedicated short range communications message set2009, SAEGoogle Scholar
  16. 16.
    Release schedule of 3GPP telecommunications standards. Retrieved 5 Jan 2015
  17. 17.
    USDOT (2001) Vulnerability assessment of the transportation infrastructure relying on global positioning systemGoogle Scholar
  18. 18.
    Anderson JM et al (2014) Autonomous vehicle technology: a guide for policymakers. RANDS Co.Google Scholar
  19. 19.
    Van den Beukel AP, Van der Voort MC (2013) Retrieving human control after situations of automated driving: how to measure Situation Awareness. In: Meyer G, Fischer-Wolfarth J (eds) Advanced microsystems for automotive applications 2013. Springer, BerlinGoogle Scholar
  20. 20.
    Lawrence Erlbaum Associates (2000) Incorporated, ‘how long does it take to stop?’ Methodological analysis of driver perception-brake times. Transp Hum Factors 2:195–216CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Qualcomm Technologies, Inc.San DiegoUSA
  2. 2.Institute of Transportation StudiesUniversity of California at BerkeleyRichmondUSA

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