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This paper proposes a traffic control scheme to alleviate traffic congestionin a network of interconnected signaled lanes/roads. The proposed scheme isemergency vehicle-centered, meaning that it provides an efficient and timelyrouting for emergency vehicles. In the proposed scheme, model predictivecontrol is utilized to control inlet traffic flows by means of network gates,as well as configuration of traffic lights across the network. Two schemes areconsidered in this paper: i) centralized; and ii) decentralized. In thecentralized scheme, a central unit controls the entire network. This schemeprovides the optimal solution, even though it might not fulfil real-timecomputation requirements for large networks. In the decentralized scheme, eachintersection has its own control unit, which sends local information to anaggregator. The main responsibility of this aggregator is to receive localinformation from all control units across the network as well as the emergencyvehicle, to augment the received information, and to share it with the controlunits. Since the decision-making in decentralized scheme is local and theaggregator should fulfil the above-mentioned tasks during a traffic cycle whichtakes a long period of time, the decentralized scheme is suitable for largenetworks, even though it may provide a sub-optimal solution. Extensivesimulation studies are carried out to validate the proposed schemes, and assesstheir performance. Notably, the obtained results reveal that traveling times ofemergency vehicles can be reduced up to ~50% by using the centralized schemeand up to ~30% by using the decentralized scheme, without causing congestion inother lanes.

MPC-Based Emergency Vehicle-Centered Multi-Intersection Traffic Control