* Wouter J. Schakel, Victor L. Knoop and Bart van Arem *
** 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. *
*
* Full article available at TRB.
* Journal: Transportation Research Record: Journal of the Transportation Research Board
* Publisher: Transportation Research Board of the National Academies
* ISSN: 0361-1981 (Print)
* Subject: Transportation
* Issue: Volume 2316 / 2012 Traffic Flow Theory and Characteristics 2012: Driver Behavior; Pedestrian and
* Simulation Modeling, Vol. 2
* Pages: 47-57
*/
package org.opentrafficsim.demo.carFollowing;