01154502

Component

https://doi.org/10.3141/2161-01

http://scholar.google.com...adou&publication_year=2010

Lane-changing algorithms have attracted increased attention during recent years. However, limited research has been conducted to address the probability of changing lanes and vehicle interactions that occur. The objective of this study is to model urban lane-changing maneuvers by using data related to driver behavior. Two components were developed from field data, for lane-changing probability and for gap acceptance. Two experiments were conducted to collect the corresponding lane-changing data: a focus group study and an in-vehicle driving test. The proposed lane-changing model was implemented in the CORSIM microscopic simulator. Traffic data collected from a busy arterial street were used for model calibration and validation, and the simulation capabilities of the newly developed model were compared with the original lane-changing model embedded in CORSIM. Results indicate that the new model replicates observed traffic under different levels of congestion better than the original model does.

01173561

10-1866

English

pp 1-10

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309142892

Print

Figures (5) ; References (22) ; Tables (1)

Arterial highways; Automobile drivers; Behavior; Gap acceptance; Lane changing; Traffic congestion; Traffic data; Traffic models; Traffic simulation

CORSIM (Traffic simulation model)

Field data

Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 25 2010 10:52AM

• Data Archives of Intelligent Transportation Systems Used to Support Traffic Simulation
• Ex Post Evaluation of Calibrated Simulation Models of Significantly Different Future Systems
• Incident Management and Traffic Information: Tools and Methods for Simulation-Based Traffic Prediction
• Investigating the Shape of the Macroscopic Fundamental Diagram Using Simulation Data
• Modeling the Lane-Changing Execution of Multiclass Vehicles Under Heavy Traffic Conditions