Intelligent Speed Adaptation (ISA)

  • Jeremy J. Blum
  • Azim Eskandarian
  • Stephen A. Arhin
Reference work entry


Intelligent Speed Adaptation (ISA) systems are in-vehicle systems designed to improve driver compliance with safe speeds. These systems can provide information on safe speeds to driver, warn the driver when they are exceeding this limit, or control brakes or throttle to prevent speeding. Because of the link between excessive speeding and severe crashes, ISA systems have been called “the most powerful collision avoidance system currently available” (Carsten and Tate 2001). However, ISA systems do face challenges to their widespread deployment. Perhaps the most significant of these challenges is finding an appropriate balance between user acceptability and system effectiveness. The more effective that an ISA system is at reducing speeding, the less likely it is to be acceptable to drivers, particularly those who would benefit the most from ISA systems. In addition, some researchers have expressed concern about potential negative safety implications of ISA systems including driver unloading, driver distraction, negative behavioral adaptations, and negative interactions with other road users. This chapter presents an overview of ISA system configurations, potential benefits of ISA systems, and challenges faced by the systems. In addition, case studies, including large-scale field tests of ISA systems, are presented.


Speed Limit Adaptive Cruise Control Target Speed Traffic Stream Road Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported in part by the US Department of Transportation under Cooperative Agreement No. DTFH61-05-H-00013.


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Copyright information

© Springer-Verlag London Ltd. 2012

Authors and Affiliations

  • Jeremy J. Blum
    • 1
  • Azim Eskandarian
    • 2
  • Stephen A. Arhin
    • 3
  1. 1.Computer SciencePenn State University HarrisburgMiddletownUSA
  2. 2.Center for Intelligent Systems ResearchThe George Washington UniversityWashingtonUSA
  3. 3.Civil EngineeringHoward UniversityNW, WashingtonUSA

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