Abstract
We propose a novel dynamical model of a simple traffic intersection,
where the state variables represent the queue lengths and the mean
waiting times in the queues. Including the mean waiting times in the
model allows for a more fair traffic control, where the waiting
times of the individual vehicles in the various streets of the
intersection are taken into account to some degree. The model is
linearized and its parameters are estimated using real traffic data
measured during one day in Prague. For the balancing of the waiting
times, two different controllers are considered: a linear quadratic
regulator and a nonlinear model predictive controller. The
controllers are evaluated in simulations where
real traffic data is used for the incoming flows.
where the state variables represent the queue lengths and the mean
waiting times in the queues. Including the mean waiting times in the
model allows for a more fair traffic control, where the waiting
times of the individual vehicles in the various streets of the
intersection are taken into account to some degree. The model is
linearized and its parameters are estimated using real traffic data
measured during one day in Prague. For the balancing of the waiting
times, two different controllers are considered: a linear quadratic
regulator and a nonlinear model predictive controller. The
controllers are evaluated in simulations where
real traffic data is used for the incoming flows.
| Original language | English |
|---|---|
| Publication status | Published - 2006 |
| Event | 11th IFAC Symposium on Control in Transportation Systems - Delft, The Netherlands, Netherlands Duration: 0001 Jan 2 → … |
Conference
| Conference | 11th IFAC Symposium on Control in Transportation Systems |
|---|---|
| Country/Territory | Netherlands |
| Period | 0001/01/02 → … |
Subject classification (UKÄ)
- Control Engineering