A hybrid traffic control framework for urban network management
- Resource Type
- Conference
- Authors
- Luca, Stefano de; Di Pace, Roberta; Memoli, Silvio; Storani, Facundo
- Source
- 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2019 IEEE International Conference on. :1-6 Jun, 2019
- Subject
- Components, Circuits, Devices and Systems
Engineering Profession
Power, Energy and Industry Applications
Optimization
Junctions
Traffic control
Synchronization
Predictive models
Linear programming
Link metering
within-day dynamics
optimisation
- Language
In order to address the very complex problem of urban traffic congestion the paper aims to investigate some "methodological" issues and "operational" benefits which can be derived from the implementation of a hybrid traffic control (TC) strategy. The main focus is on the integration of a within-day traffic flow modelling coupled with a traffic control method in particular: (1) a microscopic traffic flow representation was considered, (2) an enhanced on-line optimisation model able to design the traffic signal decision variables was adopted. Regarding the on-line traffic control a hybrid approach combining the interacting junctions optimisation (e.g. the decision variables are the green timings, the offsets and the stage sequences) and the link metering control was considered.The proposed framework was tested on a simulated case study using a calibrated network consisting of a highly congested sub-network in the city centre of Naples (Italy). The network layout is represented by one diversion node and two alternative paths connecting the same origin-destination pair; two scenarios were analysed: i) the single junction modelling; ii) the on-line scheduled synchronisation with the activation of link metering at upstream pedestrian crossings. The framework effectiveness is evaluated in terms of within-day dynamics with respect to the travel times performance index.