Analysis and recognition of highway lane-changing behavior characteristics based on GPS location data
YANG Longhai
LUO Yi
XU Hong
Abstract：In order to realize the identification and monitoring of the microscopic state of highway traffic flow,it is necessary to identify and monitor the lane-changing behaviors of the vehicles.In this paper,we acquire the lane-changing parameters by exploiting on-board GPS(Global Positio-ning System)data.Then,the parameters'statistical distribution characteristics of vehicles that change lanes and their surrounding vehicles are analyzed and the characterization parameters of lane-changing behaviors are extracted at the same time,and on those grounds the lane-changing i-dentification model is established based on Hidden Markov Model(HMM).The results show that the proposed model can accurately identify the lane-changing behaviors,including outbound lane-changing behaviors,inbound lane-changing behaviors and lane keeping behaviors.Moreover,these behaviors can be identified 1safter they really happen with 92%accuracy rate.It can pro-vide reference for real-time lane change early-warning in future.
Keywords：transportation planning and managementGPS positioning dataidentification of lane-changing behaviorsHidden Markov Model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 39-46 )