To promote the development of automated vehicles (AVs), large scale of field operational tests (FOTs) were carried out around the world. Applications of naturalistic driving data should base on correlative scenarios. However, most of the existing scenario typologies, aiming at advanced driving assistance system (ADAS) and extracting discontinuous fragments from driving process, are not suitable for AVs, which need to complete continuous driving tasks. In this paper, a systematic scenario-typology consisting of four layers (from top to bottom: trip, cluster, segment and process) was first proposed. A trip refers to the whole duration from starting at initial parking space to parking at final one. The basic units ‘Process’, during which the vehicle fulfils only one driving task, are classified into parking process, long-, middle- and short-time-driving-processes. A segment consists of two neighboring long-time-driving processes and a middle or/and short one between them. A cluster refers to a series of segments during which the vehicle drives on the same type of roads. Using this typology, a trip can be divided into continuous fragments at all the four layers, making the functional definition and test & evaluation possible. An application in functional definition was carried out as example. Naturalistic driving data from China-FOT were analyzed to obtain statistics in travel time and mileage. In shielded roads, high speed cruise and automatic lane change are in high demand. In open roads, automatic lane change and intersection passing are urgent demanded. Method and results from this paper fill the gap of studies on scenarios typology for AVs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Systematic Scenario Typology for Automated Vehicles Based on China-FOT


    Additional title:

    Sae Technical Papers


    Contributors:
    Liu, Lin (author) / Chen, Mingyang (author) / ZHU, Xichan (author) / Ma, Zhixiong (author)

    Conference:

    WCX World Congress Experience ; 2018



    Publication date :

    2018-04-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    A Systematic Scenario Typology for Automated Vehicles Based on China-FOT

    Liu, Lin / Zhu, Xichan / Chen, Mingyang et al. | British Library Conference Proceedings | 2018


    Crash comparison of autonomous and conventional vehicles using pre-crash scenario typology

    Liu, Qian / Wang, Xuesong / Wu, Xiangbin et al. | Elsevier | 2021



    Scenario-based Evaluation of Prediction Models for Automated Vehicles

    Sanchez, Manuel Munoz / Elfring, Jos / Silvas, Emilia et al. | IEEE | 2022


    Cut-in Scenario Prediction for Automated Vehicles

    Remmen, Floris / Cara, Irene / de Gelder, Erwin et al. | IEEE | 2018