The Expressway Traffic Sign Information Volume Threshold and AGS Position Based on Driving Behaviour

Guo, Zhongyin; Wei, Zhengmin; Wang, Haocheng

doi:10.1016/j.trpro.2016.05.465

Cited by 25 publications

(18 citation statements)

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“…Traffic signs are the main form of interaction of drivers with the environment, and the amount of information is the main factor that influences driving workload. Many previous studies have shown that traffic sign pictures, by way of collecting a driver’s reaction time, is an index to evaluate the traffic sign threshold for the number of road names [ 8 , 9 , 10 , 11 ]. For example, for road names from N to N + 1 road names, it is considered that the road name sign threshold is N, while reaction time significantly increased.…”

Section: Introductionmentioning

confidence: 99%

Driver’s Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China

Lyu

Xie

et al. 2017

IJERPH

100

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Complex traffic situations and high driving workload are the leading contributing factors to traffic crashes. There is a strong correlation between driving performance and driving workload, such as visual workload from traffic signs on highway off-ramps. This study aimed to evaluate traffic safety by analyzing drivers’ behavior and performance under the cognitive workload in complex environment areas. First, the driving workload of drivers was tested based on traffic signs with different quantities of information. Forty-four drivers were recruited to conduct a traffic sign cognition experiment under static controlled environment conditions. Different complex traffic signs were used for applying the cognitive workload. The static experiment results reveal that workload is highly related to the amount of information on traffic signs and reaction time increases with the information grade, while driving experience and gender effect are not significant. This shows that the cognitive workload of subsequent driving experiments can be controlled by the amount of information on traffic signs; Second, driving characteristics and driving performance were analyzed under different secondary task driving workload levels using a driving simulator. Drivers were required to drive at the required speed on a designed highway off-ramp scene. The cognitive workload was controlled by reading traffic signs with different information, which were divided into four levels. Drivers had to make choices by pushing buttons after reading traffic signs. Meanwhile, the driving performance information was recorded. Questionnaires on objective workload were collected right after each driving task. The results show that speed maintenance and lane deviations are significantly different under different levels of cognitive workload, and the effects of driving experience and gender groups are significant. The research results can be used to analyze traffic safety in highway environments, while considering more drivers’ cognitive and driving performance.

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Section: Introductionmentioning

confidence: 99%

Driver’s Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China

Lyu

Xie

et al. 2017

IJERPH

100

View full text Add to dashboard Cite

show abstract

“…It is recommended that the highway traffic guide sign information volume should not exceed 5 ( Liu et al, 2011 ). Excessive information contained in traffic signs would impose great pressure on drivers and led to hazardous driving behavior ( Guo et al, 2016 ). Researchers adopted the simulation test, designed combined signs containing guide sign and lane directional sign, measured visual cognition accuracy and reaction time, and obtained the information threshold, while combined signs with simple guiding graphics shall be set as 6 pieces, whereas the threshold for more complicated guiding graphics shall be set as 5 pieces ( Liu et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways

Song-fang²,

Yang³

et al. 2022

Front. Neurosci.

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To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver’s eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment of virtual scene to do this research, and carried out simulated driving tests at six levels (Z0, Z1, Z2, Z3, Z4, and Z5) of TEF information quantity. The driver’s fixation duration, visual search breadth, and glance speed were evaluated in a quantitative way. Results showed that the information quantity had a significant impact on eye movements. It is concluded that the information quantity from 0 to 10 bits/km may cause problems to drivers, whereas the information quantity of 40 bits/km serves as the limit. The information quantity from 30 to 40 bits/km is the appropriate one for TEF on grassland highways.

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“…Direction signs play an important role in driving safety and accident prevention [1]. Direction signs are traffic signs that ‘show route designations, destinations, directions, and other geographical information [2 p. 28].’ Proper use of direction signs can improve traffic flow and reduce accidents.…”

Section: Introductionmentioning

confidence: 99%

“…From a cognitive perspective, drivers' cognitive resources are limited. Searching and identifying information on direction signs require time, and reaction time usually increases with the amount of information on a direction sign [1]. Therefore, the amount of information (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…With the assumption that each item has an equal probability to be the target, the information volume in choice reaction tasks is

\log_{2} N

, where N is the number of items in a trial. This information entropy method has been adopted to quantify information volume of direction signs [1, 8]. Regarding the relationship between stimulus information volume and reaction time, Hick‐Hyman law states that choice reaction time increases with information volume following a linear relationship [9, 10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting drivers' direction sign reading reaction time using an integrated cognitive architecture

Deng

Cao²,

et al. 2018

IET Intelligent Transport Systems

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The Expressway Traffic Sign Information Volume Threshold and AGS Position Based on Driving Behaviour

Cited by 25 publications

References 1 publication

Driver’s Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China

Driver’s Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China

Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways

Predicting drivers' direction sign reading reaction time using an integrated cognitive architecture

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