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Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle

Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle
Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle

Indoor simulator and on-road instrumented vehicle are the most popular ways to analyze driving behaviors by using collected Vehicle Sensor Data (VSD). However, for a same driver, the driving performance could be different in the real world and in the simulated world. Even though many studies have been conducted to discover the differences of driving behaviors in these two circumstances, little research has focused on analyzing the differences in driving style, which can provide more integrated knowledge of a driver from the natural structure, stimulus–response mechanism, of driving behaviors. Therefore, in this paper, the driving styles in both the real world and the simulated world are extracted by implementing the nonnegative matrix factorization method on the collected VSD data. Through this analysis, the driving style differences can be quantitatively described and discussed in detail. It is found that the drivers tend to be more unstable and sometimes aggressive when driving the simulator and the deviation in the perception of temporal gap in two circumstances is also discovered. The research findings are particularly valuable to calibrate the driving simulator and construct more reliable driving behavior models.

Driving style, instrumented vehicle, nonnegative matrix factorization, simulator, VSD
1547-2450
Qi, Geqi
129c5374-54ae-4013-9e2b-4677efa05659
Guan, Wei
f6549e90-a899-4215-a608-af40510ab8d1
Li, Xucheng
339e8067-62d9-41c6-aaf6-88dd6250f43f
Hounsell, Nick
54781702-9b09-4fb7-8d9e-f0b7833731e5
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Qi, Geqi
129c5374-54ae-4013-9e2b-4677efa05659
Guan, Wei
f6549e90-a899-4215-a608-af40510ab8d1
Li, Xucheng
339e8067-62d9-41c6-aaf6-88dd6250f43f
Hounsell, Nick
54781702-9b09-4fb7-8d9e-f0b7833731e5
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd

Qi, Geqi, Guan, Wei, Li, Xucheng, Hounsell, Nick and Stanton, Neville A. (2018) Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. (doi:10.1080/15472450.2018.1525534).

Record type: Article

Abstract

Indoor simulator and on-road instrumented vehicle are the most popular ways to analyze driving behaviors by using collected Vehicle Sensor Data (VSD). However, for a same driver, the driving performance could be different in the real world and in the simulated world. Even though many studies have been conducted to discover the differences of driving behaviors in these two circumstances, little research has focused on analyzing the differences in driving style, which can provide more integrated knowledge of a driver from the natural structure, stimulus–response mechanism, of driving behaviors. Therefore, in this paper, the driving styles in both the real world and the simulated world are extracted by implementing the nonnegative matrix factorization method on the collected VSD data. Through this analysis, the driving style differences can be quantitatively described and discussed in detail. It is found that the drivers tend to be more unstable and sometimes aggressive when driving the simulator and the deviation in the perception of temporal gap in two circumstances is also discovered. The research findings are particularly valuable to calibrate the driving simulator and construct more reliable driving behavior models.

Full text not available from this repository.

More information

Accepted/In Press date: 15 September 2018
e-pub ahead of print date: 29 November 2018
Keywords: Driving style, instrumented vehicle, nonnegative matrix factorization, simulator, VSD

Identifiers

Local EPrints ID: 428983
URI: http://eprints.soton.ac.uk/id/eprint/428983
ISSN: 1547-2450
PURE UUID: e096ada9-8f0a-4005-8d99-1e67f5902368
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

Date deposited: 15 Mar 2019 17:30
Last modified: 07 Oct 2020 04:39

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