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Author:

Zhang, Jinxi (Zhang, Jinxi.) | Wang, Meixia (Wang, Meixia.) | Wang, Dawei (Wang, Dawei.) | Li, Xinghai (Li, Xinghai.) | Song, Bo (Song, Bo.) | Liu, Pengfei (Liu, Pengfei.)

Indexed by:

EI Scopus SCIE

Abstract:

The driving comfort, which is mainly determined by the pavement evenness, is one of the most important indexes for evaluating the pavement service condition. Current evaluation indexes for the pavement evenness, such as the international roughness index (IRI), are mainly determined by the vibration acceleration method. However, the driver is at the core in the human-vehicle-road-environment system. Few studies have focused on the physiological state as a response to accelerations induced by pavement unevenness and evaluate the driving comfort on this basis. In this study, the Root Mean Square of the Successive Differences (RMSSD) derived from the driver's heart rate variability (HRV) in the time domain and was selected as an index value for the driver's physiological state. Using an advanced indoor testing platform, the RMSSD values of five drivers were recorded by a KF2 electrocardiogram tester. The relationship between the RMSSD, the driving speed and the IRI underwent detailed analyses. The results of the tests show that the vertical vibration is identical when the drivers are driving on the simulated pavement with the same IRI value; however, the RMSSD values of different drivers were different, i.e., the perception of the same pavement evenness is subjective. Therefore, when evaluating the driving comfort based on the pavement evenness, it is necessary to consider the physiological index. The results obtained in this study have proven the feasibility of measurement of RMSSD value to evaluate the pavement evenness and driving comfort. They are therefore a powerful augmentation of existing evaluation methods and also provide a new reference for further optimization of the pavement surface performance.

Keyword:

Pavement evenness Driving comfort International roughness index (IRI) Pavement performance Physiological index

Author Community:

  • [ 1 ] [Zhang, Jinxi]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Meixia]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 3 ] [Wang, Dawei]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 4 ] [Song, Bo]Beijing Univ Technol, Coll Metropolitan Transportat, Beijing 100124, Peoples R China
  • [ 5 ] [Wang, Dawei]Rhein Westfal TH Aachen, Inst Highway Engn, Mies van der Rohe Str 1, D-52074 Aachen, Germany
  • [ 6 ] [Liu, Pengfei]Rhein Westfal TH Aachen, Inst Highway Engn, Mies van der Rohe Str 1, D-52074 Aachen, Germany
  • [ 7 ] [Wang, Dawei]Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Heilongjiang, Peoples R China
  • [ 8 ] [Li, Xinghai]Beijing Rd Engn Qual Supervis Stn, Beijing 100076, Peoples R China

Reprint Author's Address:

  • [Wang, Dawei]Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Heilongjiang, Peoples R China

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Source :

MEASUREMENT

ISSN: 0263-2241

Year: 2018

Volume: 117

Page: 1-7

5 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:156

Cited Count:

WoS CC Cited Count: 32

SCOPUS Cited Count: 35

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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