Development and evaluation of an advanced intelligent speed adaptation system

Author:

Arhin S1,Eskandarian A1,Blum J2,Delaigue P1

Affiliation:

1. Center for Intelligent Systems Research, George Washington University, Ashburn, VA, USA

2. Department of Computer Science, Pennsylvania State University at Harrisburg, Middletown, PA, USA

Abstract

Intelligent speed adaptation (ISA) systems are in-vehicle systems that have the capability of either warning drivers of adverse speeding behaviours or limiting them from exceeding a prevailing speed limit or advisory. The former, called the warning—informational ISA system, has been noted to be ineffective in reducing speeding while being acceptable to drivers. However, the limiting ISA system, called the mandatory ISA system, has been effective in reducing speeds, yet highly unacceptable from research conducted largely in Europe. These tests of ISA systems have shown that there is a significant consumer acceptance hurdle on the one hand, and an efficacy hurdle on the other. This paper presents the results of a driving simulator experiment that tested the acceptance and effectiveness of a new type of ISA system, called the advanced vehicular speed adaptation system (AVSAS). AVSAS was designed as a speed-management system, rather than a speed-limiting system, based on individual driver speeding behaviours under different roadway scenarios. Statistical analyses were conducted to determine the effectiveness of AVSAS while a survey was used to gauge the acceptance of the system. The results showed that AVSAS contributed to the reductions in the drivers' speeds for two roadway scenarios. The survey results revealed a higher acceptance rating of AVSAS.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How to take speed decisions consistent with the available sight distance using an intelligent speed adaptation system;Accident Analysis & Prevention;2022-09

2. Coupling effect modeling of driver vehicle environment factors influencing speed selections in curves;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2019-08-27

3. An adaptive framework to enhance microscopic traffic modelling: an online neuro-fuzzy approach;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2016-08-05

4. The Effect of Haptic Support Systems on Driver Performance: A Literature Survey;IEEE Transactions on Haptics;2015-10-01

5. Intelligent speed adaptation: Preliminary results of on-road study in Penang, Malaysia;IATSS Research;2013-03

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