Reference:
S.P. Hoogendoorn,
B. De Schutter, and
H. Schuurman,
"Decision support in dynamic traffic management. Real-time scenario
evaluation," European Journal of Transport and Infrastructure
Research, vol. 3, no. 1, pp. 21-38, 2003.
Abstract:
To support operators in Regional Traffic Management Centers in their
task to efficiently and safely manage traffic flows on the motorway
and urban networks, a decision support system is being developed. An
essential function of this system is its ability to predict the
effects of a large number of candidate control scenarios, given the
recurrent and non-recurrent conditions in the network. This article
proposes such a prediction system referred to as BSES (Boss Scenario
Evaluation System), which can evaluate control scenarios in real time,
predicting their effects in terms of various measures of
effectiveness, such as total travel times, vehicle loss times, average
speeds, fuel consumption, etc. The main characteristics of the system
are 1) that it is case-based, i.e., it uses either synthetic or
real-life examples of the effect of control scenarios under different
circumstances; 2) that is determines the similarity of the current
situation to different examples in the case base using fuzzy logic,
and 3) that it is agent-based, meaning that it predicts the effects of
the different measures for small subnetworks and combines these
predictions afterwards. In the article, synthetic data is used to
set-up the case base. The test results described in the article
illustrate the workings of the system, and shows that the system can
provide the operator with real-time predictions. Furthermore, the
predictions of the system are in comparable to the predictions from
the simulation model used to fill the case base, showing that the
method is applicable to generalize the - in this case synthetic - data
it uses.