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Title: Modelling of Vehicle Interaction Behavior during Discretionary Lane-Changing Preparation Process on Freeway
Accession Number: 01628730
Record Type: Component
Abstract: Discretionary lane-changing preparation process (DLCP) plays an important role in microscopic traffic flow simulation. In this article, two acceleration models to respectively simulate car-following behavior of lane-changer and putative following vehicle during DLCP process are presented. The vehicle interaction characteristics are reflected by the proposed acceleration models. To this end, two methods to respectively identify the starting point and ending point of DLCP from real trajectories are proposed firstly. Then, a linear acceleration model is developed to simulate the car-following behavior of lane-changer based on the trajectory extracted from DLCP. The proposed model is calibrated with least-squares estimation method and is simplified based on hypothesis test results for each parameter. The parameter sensitivity analysis of simplified model is conducted. Subsequently, an acceleration model for putative following vehicle is constructed by referring to the Optimal Velocity Model, in which optimal velocity is defined as a linear function of velocity of putative leading vehicle. Similar calibration, hypothesis test and parameter sensitivity analysis are conducted on the acceleration model of putative following vehicle. The validated results of the two proposed models suggest that the training and testing errors are quite acceptable compared with the similar work on calibrations for car following models. The parameter sensitivity analysis shows that the subtle observed error doesn’t lead to severe variation of car-following behavior of the lane-changer and putative following vehicle.
Supplemental Notes: This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-04286
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Nie, JianqiangWan, XiaZhang, JianDing, WantingRan, BinPagination: 17p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-04286
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:38AM
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