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This paper presents an algorithm, called the Backwards Incremental System Optimum Search (BISOS) for achieving system near-optimum traffic assignment by incrementally limiting accessibility of roads for a chosen set of agents. The described algorithm redistributes traffic volumes homogeneously around the city and converges significantly faster than existing methods for system optimum computation in...
This paper defines a measure of importance for a node (intersection) in a transportation network, based on its topology and traffic demand. Consequentially, the measure is used in order to solve the sensor placement problem by maximizing the information gain in terms of users' routing choices by sensing the most uncertain areas in the system. It is demonstrated that utilizing the proposed strategy...
Electro-mobility is widely regarded as the future of transportation systems. The shift from fossil fuel-based engines to electro-mobility will pose new challenges to the operations of future transportation systems. Our vision of a smart transportation system for the future entails a collaborative communication and simulation infrastructure that can help to mitigate common traffic-related problems...
Time-Triggered Network-on-Chip (TTNoC) is a networking concept aiming at providing both predictable and high-throughput communication for modern multiprocessor systems. The message scheduling is one of the major design challenges in TTNoC-based systems. The designers not only need to allocate time slots but also have to assign communication routes for all messages. This paper tackles the TTNoC scheduling...
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