Name
Abstract | ||
|---|---|---|
This paper focuses on the design of a model based methodology to optimize lane change maneuvers based on the predictions of neighboring agents. In particular, the dynamics of vehicles are modeled as double integrators, and the lane change actions are indicated by boolean variables while neglecting the lane change dynamics. The objective of the optimal control is to minimize the travel time, maintain saftey distances between the target vehicle and neighboring ones, satisfy the operational constraints of the target vehicle, and comply with the speed limit. The control problem is formulated as a mixed logic dynamic system, and solved by Cplex, a commercial mixed integer optimization solver. Finally, the effectiveness of the proposed methodology is demonstrated by two simulated scenarios in this paper. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ITSC.2014.6957843 | ITSC |
Keywords | Field | DocType |
boolean functions,integer programming,minimisation,mobile robots,optimal control,road traffic control,vehicle dynamics,boolean variables,cplex,autonomous lane-change controller,commercial mixed integer optimization solver,control problem,double integrators,lane change actions,lane change dynamics,lane change maneuver optimization,mixed logic dynamic system,mixed logical dynamical,model based methodology,neighboring agent predictions,travel time minimization,simulation | Integer,Control theory,Optimal control,Control theory,Simulation,Integrator,Engineering,Solver,Boolean data type,Travel time,Speed limit | Conference |
Citations | PageRank | References |
4 | 0.52 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaoqiong Du | 1 | 4 | 0.52 |
| Yizhou Wang | 2 | 1162 | 86.04 |
| Ching-Yao Chan | 3 | 79 | 23.48 |