How do long combination vehicles perform in real traffic? A study using Naturalistic Driving Data

被引:0
|
作者
Behera, Abhijeet [1 ,2 ]
Kharrazi, Sogol [1 ,2 ]
Frisk, Erik [2 ]
机构
[1] Swedish Natl Rd & Transport Res Inst, Linkoping, Sweden
[2] Linkoping Univ, Div Vehicular Syst, Elect Engn, Linkoping, Sweden
来源
关键词
Naturalistic driving data; Long combination vehicles; A-double; DuoCAT; Performance-based standards; Rearward amplification; High-speed transient offtracking; Low-speed swept path; High-speed steady-state offtracking; Steering reversal rate; HEAVY VEHICLES; BEHAVIOR;
D O I
10.1016/j.aap.2024.107763
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
This paper evaluates the performance of two different types of long combination vehicles (A-double and DuoCAT) using naturalistic driving data across four scenarios: lane changes, manoeuvring through roundabouts, turning in intersections, and negotiating tight curves. Four different performance-based standards measures are used to assess the stability and tracking performance of the vehicles: rearward amplification, high-speed transient offtracking, low-speed swept path, and high-speed steady-state offtracking. Also, the steering reversal rate metric is employed to estimate the cognitive workload of the drivers in low-speed scenarios. In the majority of the identified cases of the four scenarios, both combination types have a good performance. The A-double shows slightly better stability in high-speed lane changes, while the DuoCAT has slightly better manoeuvrability at low-speed scenarios like roundabouts and intersections.
引用
收藏
页数:14
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