Analysis of Driving Control Characteristics in Typical Road Types

Baicang Guo, Qiang Hua, Lisheng Jin, Xianyi Xie, Zhen Huo and Huanhuan Wang
Additional contact information
Baicang Guo: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Qiang Hua: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Lisheng Jin: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Xianyi Xie: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Zhen Huo: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China
Huanhuan Wang: School of Vehicle and Energy, Yanshan University, Qinhuangdao 066004, China

Sustainability, 2022, vol. 14, issue 2, 1-23

Abstract: Vehicle control requirements for longitudinal and lateral driver control are varied in different road geometries; this makes it irrational and superfluous to represent driving control characteristics with repetitive indices. To address this problem, the present study used multiple cross-analysis methods of vehicle running state parameters from experienced drivers in order to deeply study driving control characteristics in different road geometries. Six common road geometries with different driving control emphases were selected as typical road types and twenty-five experienced drivers were asked to perform an actual driving test. Taking the indices in the long straight road as the control variable, the indices in other roads were compared with it and judged according to the three methods: the overall distribution by box plots, significant difference test by analysis of variance (ANOVA) and relative distance calculation by technique for order preference by similarity to an ideal solution (TOPSIS). Moreover, the weight of the driving control characteristic index was calculated through the entropy weight method to reflect its importance. In this paper, the relationships between road geometry and driving control characteristics explicate the influence mechanism and interaction of road geometry on driving behavior, and the indicators that can reflect the control characteristics in different road types are obtained.

Keywords: traffic safety; human factor; driving control characteristics; vehicle running status; driving behavior; naturalistic driving data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/2/782/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/2/782/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:2:p:782-:d:722383

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().