Motorcyclist perception response time in stopping sight distance situations

Davoodi, Seyed Rasoul; Hamid, Hussain; Pazhouhanfar, Mahdieh; Muttart, Jeffrey

doi:10.1016/j.ssci.2011.09.004

Cited by 42 publications

(26 citation statements)

References 20 publications

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“…0.23, min 0.25, max 0.96), which was obtained from a wide range of participant ages (13−54 years old) and/or riding experience (from less than 2 to more than 15 years). These values are similar to those of previous studies; for example, the 0.68 s found by (Davoodi et al, 2012). In addition, as the object (motorcyclists' braking capability) and experimental method (on a dry and level closed circuit course, with a speed range of 50−60 km/h, in expected conditions) were also similar, then the values can be used to calculate the minimum SSD.…”

Section: Resultssupporting

confidence: 87%

“…Accordingly, it is understandable that accident risk management is top of the agenda in the Decade of Action (DoA) of Road Safety 2011-2020 (WHO, 2011). The Indonesian National General Plan of To date, in order to calculate the MSSD for particular conditions, AASHTO (2011) recommends the use of a reaction time of 1.64 s, whereas Davoodi et al (2012) found that this could be less than 1 s, i.e. 0.68 s. In addition, although previous studies have found that the braking deceleration rate could be greater than 4.5 m/s² (Fambro et al, 1997), i.e.…”

Section: Introductionmentioning

confidence: 99%

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Use of the Safety Factor and Margin of Safety in Motorcyclist Accident Risk Management

Costa¹,

Malkhamah²,

Suparma³

2018

IJTech

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Deceleration rate, time to collision and impact speed have been commonly employed as accident risk indicators. However, it is hard to assess the level of accident risk since these indicators have not been developed with measurable score criteria. This study focuses on the determination of measurable risk indicators which could be used to assess accident risk level and to determine more appropriate accident risk management strategies by using the descriptive qualitative approach. The data were collected from a braking maneuver test conducted on a dry and level closed circuit course. Risk was a function of accident probability and its possible consequences, while accident probability was determined based on the safety factor, i.e. the ratio of available stopping sight distance (ASSD) to minimum SSD (MSSD), which was used to determine the margin of safety. Subsequently, accident consequence was determined using the impact speed at a predicted point of collision along the braking distance path. The results show that accident risk could be easily determined using the proposed indicators, whilst an objective and appropriate accident risk management strategy could be determined based on the minimum margin of safety value which could be obtained from each risk exposure.

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Section: Resultssupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Use of the Safety Factor and Margin of Safety in Motorcyclist Accident Risk Management

Costa¹,

Malkhamah²,

Suparma³

2018

IJTech

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“…Further, the obtained minimum reaction and downshifting time was 0.53 s, little shorter than similar previous related study finding, i.e. 0.68 s [15], whilst the average engine braking deceleration rate was around 1.29 m/s². This indicates that engine braking deceleration rate was influenced by speed choices, and may well also influenced by the air pressure of the tire and aerodynamically factors.…”

Section: Results and Discussion 31 Traffic And Risk Characteristicscontrasting

confidence: 47%

Accident risk management strategy at un-signalized intersection

2019

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The increasing of traffic sign and/or light violations is a commonly views in many countries. Even it was occurred intentionally which indicates that drivers accept its possible consequences. The constant fatality index of motorcyclist strongly indicates that determinant variables behind their risky behaviour and/or accident involvement should be further investigated and managed systematically. Accordingly, this paper focuses on motorcyclist accident risk management, particularly at un-signalized segment, by combining the aggregated-individual and expert expectancy approaches. Therefore a questionnaire and braking manoeuver test were undertaken at closed circuit course. The result shows that speeding behaviour was caused by trip purpose and triggered by perception about their braking and hazard detection abilities. In addition, only 24 % of 56 % of riders who believed that their braking capability was above average could apply high braking capability so that most riders might involve in crash due to the average critical crossing gap choice at the monitored intersection. This explains that their speed choice should be deal with their braking capability. However, the overlay policy at the monitored intersection indicates that the unbalanced between mobility and safety still to be a latent issue, which virtually could be bridged by using a standardized braking capability.

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“…Valid primes for an upcoming lane change resulted in significantly shorter reaction times to initiate the lane change, and significantly shorter kinematic phases for the first point of reversal of steering wheel movement [10]. The positive impact of response priming (and in general of alerting the driver to potential conflicts) on reaction times has been supported by other studies in the real world; both with regard to passenger vehicles on a test track [6], and also motorcycle riders on a flat stretch of road [3].…”

Section: The Current State Of Anticipation In Driving Research Benefimentioning

confidence: 60%

“…However, we hyporthesize in Stahl et al [3] that anticipation aids in the realization of a given driver's individual goals in general, and therefore should not be argued to exclusively benefit either safety, or eco-driving, or both. An aggressive driver could use anticipatory competence to make quick headway by anticipating the movements of surrounding traffic in such a way as to choose the quickest path.…”

Section: The Current State Of Anticipation In Driving Research Benefimentioning

confidence: 77%

A Model of Anticipation in Driving

Stahl

Donmez

Jamieson

2014

Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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The ability to anticipate future events in the traffic environment is an important competence in driving. This paper extends our prior work: 1) to show potential benefits resulting from anticipatory competence in driving, and 2) to collate characteristics of anticipatory competence from a theoretical point of view. The reviewed literature is foundational to our understanding of anticipation as a highlevel cognitive competence, allowing for the prediction of future traffic situations on a tactical level. We conceptualize anticipation as relying on the identification of stereotypical traffic situations based on indicative cues, and stress that the impacts of this competence are dependent on the driver's individual goals. Thus, anticipation enables a number of potential benefits, such as safety and fuel-efficiency, but the realization of these potential benefits depends on the goals of the driver. Further, we argue that the superior anticipatory competence of experienced drivers observed in an earlier simulator study can be explained via their heightened ability both to identify indicative cues, and interpret those cues relative to similar, memorized situations. We then capture anticipatory driving in a model inspired by the classical theory of information processing to describe the various steps necessary to process indicative cues from the environment, anticipate a future traffic situation, and take appropriate action or achieve a state of cognitive readiness.

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Motorcyclist perception response time in stopping sight distance situations

Cited by 42 publications

References 20 publications

Use of the Safety Factor and Margin of Safety in Motorcyclist Accident Risk Management

Use of the Safety Factor and Margin of Safety in Motorcyclist Accident Risk Management

Accident risk management strategy at un-signalized intersection

A Model of Anticipation in Driving

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