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Author:

Mao, Kejun (Mao, Kejun.) | Zhao, Xiaohua (Zhao, Xiaohua.) | Rong, Jian (Rong, Jian.) (Scholars:荣建) | Su, Linjia (Su, Linjia.) | Wei, Guan (Wei, Guan.)

Indexed by:

EI Scopus

Abstract:

Road environment monotony is a critical exogenous cause of driving fatigue. According to the definition of monotony, the MPEG compression technique was used to obtain the change of road environment and the related parameters of this technique were discussed. Considering drivers' most meaningful information (MMI), the driver observation region was divided into three regions. Each region was given a different weight based on gazing time (or gazing frequency), and the new method of road environment change calculation combined with drivers' observation region was introduced. The mean of environment change was considered as the road environment monotony measurement, and the location identification method of road environment larger change (or stimulation points) was given. The method of evaluating the road environment has been proven to be feasible in the in-field experiment. It is also the basis of researching road environment monotony levels and monotony improvement countermeasures in the future. © 2010 ASCE.

Keyword:

Automobile drivers Roads and streets

Author Community:

  • [ 1 ] [Mao, Kejun]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhao, Xiaohua]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Rong, Jian]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Su, Linjia]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Wei, Guan]Beijing Key Lab of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Year: 2010

Volume: 382

Page: 518-527

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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