Technical gazette, Vol. 25 No. 1, 2018.
Preliminary communication
https://doi.org/10.17559/TV-20170406121055
Time-Space Relationship Analysis Model on the Bus Driving Characteristics of Different Drivers Based on the Traffic Performance Index System
Li Wang
orcid.org/0000-0001-5986-7184
; The School of Computer Software, Section A, Building 55, Tianjin University, Beiyangyuan Campus, No. 135, Ya Guan Road, Jinnan District, Tianjin, 300354, China
Jingfeng Yang
; Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Nanfeng Zhang
; Chief Engineer of Guangzhou Entry Exit Inspection and Quarantine Bureau laboratory
Ji Yang
; Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography,100 Xianliezhong Road, Guangzhou 510070, China
Yong Li
; Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Jiarong He
; Deputy Chief of integrated four division in Foshan municipal people's government office
Feng Yang
; Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou 510070, China
Handong Zhou
; Guangzhou Yuntu Information Technology CO, LTD, & Open Laboratory of Geo-Spatial Information Technology and Application of Guangdong Province, Guangzhou Institute of Geography,100 Xianliezhong Road, Guangzhou 510070, China
Abstract
With the extensive application of the concept of green traffic, the relationship between the driving characteristics of different drivers and energy consumption and traffic performance conditions, etc. is gradually becoming a research hotspot. Based on bus status data recorded by travel data recorders with a vehicle-mounted satellite positioning function and in view of external bus behaviours and driver’s performance, a bus driving characteristic model of drivers is established. A time-space analysis model of the driving characteristics of different drivers based on traffic performance index is also established through fuzzy association rules and a type-2 fuzzy set prediction algorithm. Test results show that the prediction algorithm can accurately describe the time-space relationship between the traffic congestion index and bus driving characteristic model and achieve relatively high prediction accuracy. The problem of the lagging release of traffic performance index caused by massive calculation for floating vehicle data can be effectively solved through this algorithm, which can serve as an important reference for analyzing traffic performance conditions, as well as the energy conservation and emission reduction of buses.
Keywords
bus driving characteristics of different drivers; fuzzy association rules; time-space analysis; traffic performance index; type-2 fuzzy set
Hrčak ID:
193621
URI
Publication date:
10.2.2018.
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