* 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;