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author:

Yang, Y. (Yang, Y..) [1] | Ye, Z. (Ye, Z..) [2] | Easa, S.M. (Easa, S.M..) [3] | Feng, Y. (Feng, Y..) [4] | Zheng, X. (Zheng, X..) [5]

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Scopus

Abstract:

Traffic accidents are common in advanced warning areas of a maintenance work zone. One of the reasons for the accident is that the complex driving environment of the warning area makes drivers need to change lanes and speed frequently. Another reason is that driving distractions shift the driver's mental workload and make the drivers unable to complete the driving task well. The paper aimed to examine the impact of visual and cognitive distractions on the driver's mental workload, eye movements, and driving behaviour when driving in advanced warning areas of the maintenance work zones. Thirty-two participants (mean age = 23.97 years) participated in the experiment and completed 3 advanced warning area simulation scenes. The road initial speed limit of simulation scenes was different: 60 km/h, 80 km/h and 100 km/h. The drivers needed to pass three scenes under three types of distraction tasks (no task, visual task and cognitive task). Six indices were used to evaluate the effect of the advanced warning area and the distracting secondary tasks on the driver's mental workload: two related to eye movements, two related to driver behavior, and two related to the electroencephalogram. The TOPSIS analysis was used to solve the problem of multi-evaluation indices comparison, sorting and selection. The results show that the driver has higher vehicle control ability under the distraction-free task condition than in other scenes. Furthermore, the impact of visual distraction on drivers is more significant than that of cognitive distraction, suggesting more visual attention is required for drivers when passing the complex working zone. © 2023

Keyword:

Advanced warning area Distraction tasks Driver behavior Driver workload Electroencephalogram Work zone

Community:

  • [ 1 ] [Yang Y.]College of Civil Engineering, Fuzhou University, Fujian, 350116, China
  • [ 2 ] [Yang Y.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian, 350116, China
  • [ 3 ] [Ye Z.]College of Civil Engineering, Fuzhou University, Fujian, 350116, China
  • [ 4 ] [Ye Z.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian, 350116, China
  • [ 5 ] [Easa S.M.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian, 350116, China
  • [ 6 ] [Easa S.M.]Department of Civil Engineering, Toronto Metropolitan University, Toronto, M5B 2K3, Canada
  • [ 7 ] [Feng Y.]College of Civil Engineering, Fuzhou University, Fujian, 350116, China
  • [ 8 ] [Feng Y.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian, 350116, China
  • [ 9 ] [Zheng X.]Joint International Research Laboratory on Traffic Psychology & Behaviors, Fuzhou University, Fujian, 350116, China
  • [ 10 ] [Zheng X.]School of Humanities and Social Sciences, Fuzhou University, Fujian, 350116, China

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Source :

Transportation Research Part F: Traffic Psychology and Behaviour

ISSN: 1369-8478

Year: 2023

Volume: 95

Page: 112-128

3 . 5

JCR@2023

3 . 5 0 0

JCR@2023

ESI HC Threshold:16

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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