Development and evaluation of an advanced intelligent speed adaptation system

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.

The Effect of Haptic Support Systems on Driver Performance: A Literature Survey

“…Specifically, Brandt et al [41] combined lane keeping with obstacle avoidance, Flemisch et al [38] combined lane keeping with obeying the speed limit, and Adell et al [27] combined collision avoidance with obeying speed limit. c) Channel: The channels that were most frequently used by haptic support systems were the steering wheel [5], [11], [12], [15], [19], [20], [28], [29], [32], [37], [41]- [43], [46]- [50], [55]- [57], [64]- [67], [69], [70], [72], [73], [75], [77], gas pedal [6], [17], [22], [23], [25]- [27], [34]- [36], [40], [44], [45], [68], [71], [74], seat [7], [21], [31], [51], [52], [63], and seatbelt …”

“…In most studies the force exerted by the system was either a function of an external variable that represented the current position of the vehicle with respect to the road (e.g., deviation from lane centre) [6], [27], [32], [38], [39], [45], [46], [58], [65]- [68] or used a look-ahead principle, which determined the future position of the vehicle with respect to the road (e.g., time to line crossing) [12], [30], [41], [47]- [49], [54]- [56], [67], [69]. Guidance systems designed to support car-following often used a function that combined TTC and THW to determine a counterforce on the gas pedal [6], [22], [39], [45].…”

Coupling effect modeling of driver vehicle environment factors influencing speed selections in curves

“…Hong et al 21 analyzed the relationship about driver eye movements and vehicle control behavior when the vehicle enters a curve in free-flow regions. Considering the important impact of driving behavior on vehicle speed, Arhin et al 22 proposed an advanced vehicular speed adaptation system (AVSAS). This system offered a speed-management system that adapted to drivers' speed behavior based on the current roadway situation.…”

An adaptive framework to enhance microscopic traffic modelling: an online neuro-fuzzy approach

“…[1][2][3] Traffic flow conditions substantially influence the behaviour and reactions of drivers. 4 Modelling of interactions of individual vehicles with each other and the road is the main function of traffic microsimulation models.…”

“…Because of the development of intelligent transportation systems over the last few decades, microsimulations of traffic have increased in popularity as they are considered to be dependable tools for investigating traffic systems. [1][2][3] Traffic flow conditions substantially influence the behaviour and reactions of drivers. 4 Modelling of interactions of individual vehicles with each other and the road is the main function of traffic microsimulation models.…”