Modelling vehicles acceleration during overtaking manoeuvres. Issue 3 (1st April 2016)

• Record Type: Journal Article
• Authors: Llorca, Carlos; Moreno, Ana Tsui; Garcia, Alfredo
• Is Part Of: IET intelligent transport systems. Volume 10:Issue 3(2016)
• Page Start: 206
• Page End: 215
• Publication Date: 2016-04-01
• Subjects: driver information systems -- road safety -- road accidents -- accident prevention; vehicle acceleration modelling -- overtaking manoeuvres -- two‐lane rural roads -- overtaking sight distance -- safety concern -- overtaking related crashes -- advanced driver assistance systems -- overtaking vehicle trajectory -- left lane -- instrumented vehicle -- overtaking time -- overtaking distance -- abreast position -- kinematic models -- uniform acceleration -- linear acceleration variation -- microsimulation model improvement -- ADAS -- OSD; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2015.0035
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : Overtaking manoeuvre is a key issue for two‐lane rural roads. These roads should provide sufficient overtaking sight distance (OSD) at certain locations to allow faster vehicles to pass slower ones. However, overtaking requires occupying the opposing lane, which represents a serious safety concern. Severity of overtaking related crashes is very high, compared with other manoeuvres. The development of advanced driver assistance systems (ADAS) for overtaking is being a complex task. Only few systems have been developed, but are not still in use. This research incorporated accurate data of real manoeuvres to improve the knowledge of the phenomenon. The trajectory of the overtaking vehicles on the left lane was observed. An instrumented vehicle measured the overtaking time and distance, the abreast position, and the initial and final speed of 180 drivers that passed it during a field experiment. Six different kinematic models (such as uniform acceleration or linear variation of acceleration) were calibrated. Generally, drivers started to accelerate before changing to the opposing lane. These models may be applied to ADAS, to estimate OSD and to improve microsimulation models.