A hierarchical network model for road traffic control

Vrancken, Jos; Schuppen, Jan H. van; Soares, Michel S.; Ottenhof, Frank

doi:10.1109/icnsc.2009.4919298

Cited by 6 publications

(6 citation statements)

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“…The inputs to the system are frequently the outputs of some other systems, and the outputs of the system are used as the inputs to other systems. It must be mentioned that the smart city shall not be seen as a standard hierarchical model [24]. For example, similarly to the hierarchical traffic control models of a city with the lowest level corresponding to the local intersection controller, area control level coordinating more intersections, city control level and typically a national traffic control/information system.…”

Section: Building Blocksmentioning

confidence: 99%

Modeling of Smart City Building Blocks Using Multi-Agent Systems

Lom

Přibyl

2017

NNW

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This paper describes the first attempt of hardware implementation of Multistream Compression (MSC) algorithm. The algorithm is transformed to series of Finite State Machines with Datapath using Register-Transfer methodology. Those state machines are then implemented in VHDL to selected FPGA platform. The algorithm utilizes a special tree data structure, called MSC tree. For storage purpose of the MSC tree a Left Tree Representation is introduced. Due to parallelism, the algorithm uses multiple port access to SDRAM memory.

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Section: Building Blocksmentioning

confidence: 99%

Modeling of Smart City Building Blocks Using Multi-Agent Systems

Lom

Přibyl

2017

NNW

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“…The choice of decomposing the system in single-intersection areas is to allow a fully distributed architecture. Also, it should be emphasized that such a problem need not necessarily involve all intersections of a city but rather parts of the city where traffic is interrelated [38].…”

Section: Spatial Decompositionmentioning

confidence: 99%

Distributed Traffic Signal Control Using the Cell Transmission Model via the Alternating Direction Method of Multipliers

Timotheou

Panayiotou

2014

IEEE Trans. Intell. Transport. Syst.

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Traffic signal control is a key ingredient in intelligent transportation systems to increase the capacity of existing urban transportation infrastructure. However, to achieve optimal system-wide operation it is essential to coordinate traffic signals at various intersections. In this paper we model the multiple-intersections traffic signal control problem using the cell transmission model as a mixed integer linear program. The solution of the problem is facilitated by its special structure which allows both temporal and spatial decomposition. Temporal decomposition is employed to reduce problem size by solving subproblems of smaller time-window compared to the original problem. Temporal subproblems can be further spatially decomposed into subproblems associated with different intersections, which are jointly solved by exchanging messages between neighboring intersections. The proposed distributed solution strategy is comprised of two phases. First, the relaxed linear problem is reformulated and distributedly solved via the Alternating Direction Method of Multipliers. Second, two distributed rounding schemes are developed to solve the original problem. Simulation results indicate that the proposed solution strategy is scalable to large transportation topologies, suitable for online execution and provides close to optimal results.

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“…We need a control framework to organize the many units of control present in an NM system, in order to guarantee that control scopes do not overlap, and that each control unit is governed by only one parent system. A proposal for this has been made in [13]. More research is needed on the control of distributed systems.…”

Section: The Approach To Developing Network Managementmentioning

confidence: 99%