01365911

Component

https://doi.org/10.3141/2316-06

http://scholar.google.com...Arem&publication_year=2012

A proposed lane change model can be integrated with a car-following model to form a complete microscopic driver model. The model resembles traffic better at a macroscopic level, especially regarding the amount of traffic volume per lane, the traffic speeds in different lanes, and the onset of congestion. In a new approach, lane change incentives are combined for determining a lane change desire. Included incentives are to follow a route, to gain speed, and to keep right. Classification of lane changes is based on behavior that depends on the level of lane change desire. Integration with a car-following model is achieved by influencing car-following behavior for relaxation and synchronization, that is, following vehicles in adjacent lanes. Other improvements of the model are trade-offs between lane change incentives and the use of anticipation speed for the speed gain incentive. Although all these effects are captured, the lane change model has only seven parameters. Loop detector data were used to validate and calibrate the model, and an accurate representation of lane distribution and the onset of congestion was shown.

01474809

12-0919

English

pp 47–57

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263221

Print

Figures; References; Tables

Car following; Lane changing; Lane distribution; Microsimulation; Traffic congestion; Traffic models

Relaxation methods (Mathematics); Synchronization

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB, ATRI

Feb 8 2012 4:58PM

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