01698045

Component

In recent years, the automatic driving has become a hot topic and attracted worldwide attention. This paper focuses on the off-ramp intention generation (OIG) problem of automated vehicles. When an automated vehicle driving on a freeway intends to leave the freeway by a chosen off-ramp, it needs to generate an off-ramp intention first at an appropriate distance from the off-ramp. The OIG has a significant impact on the subsequent freeway-leaving path of automated vehicles, and the model of the OIG is critical for the safety and efficiency of automated vehicles in the freeway-leaving process. However, the significance of the OIG position for the freeway-leaving path of automated vehicles have not be recognized by researchers. Therefore, for the first time, this paper aims to propose an OIG model for automated vehicles on freeways. Field data is collected to validate the proposed model. The results display that the proposed model can reflect the OIG process of vehicles on freeway and can generate an optimal OIG point for automated vehicles.

This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.

19-06042

English

19p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

Figures; References (22) ; Tables

Highway safety; Intelligent vehicles; Mathematical models; Off ramps; Vehicle trajectories

Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment

Transportation Research Board Annual Meeting 2019 Paper #19-06042

TRIS, TRB, ATRI

Dec 7 2018 9:44AM