dorsal/arxiv
View SchemaSelf-Organized Control of Irregular or Perturbed Network Traffic
| Authors | Dirk Helbing, Stefan Lämmer, Jean-Patrick Lebacque |
|---|---|
| Categories | |
| ArXiv ID | physics/0511018 |
| URL | https://arxiv.org/abs/physics/0511018 |
| Journal | D. Helbing, S. L\"ammer, and J.-P. Lebacque: Self-organized control of irregular or perturbed network traffic. In C. Deissenberg and R. F. Hartl (eds.) Optimal Control and Dynamic Games (Springer, Dortrecht, 2005), pp. 239-274 |
Abstract
We present a fluid-dynamic model for the simulation of urban traffic networks with road sections of different lengths and capacities. The model allows one to efficiently simulate the transitions between free and congested traffic, taking into account congestion-responsive traffic assignment and adaptive traffic control. We observe dynamic traffic patterns which significantly depend on the respective network topology. Synchronization is only one interesting example and implies the emergence of green waves. In this connection, we will discuss adaptive strategies of traffic light control which can considerably improve throughputs and travel times, using self-organization principles based on local interactions between vehicles and traffic lights. Similar adaptive control principles can be applied to other queueing networks such as production systems. In fact, we suggest to turn push operation of traffic systems into pull operation: By removing vehicles as fast as possible from the network, queuing effects can be most efficiently avoided. The proposed control concept can utilize the cheap sensor technologies available in the future and leads to reasonable operation modes. It is flexible, adaptive, robust, and decentralized rather than based on precalculated signal plans and a vulnerable traffic control center.
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"abstract": "We present a fluid-dynamic model for the simulation of urban traffic networks\nwith road sections of different lengths and capacities. The model allows one to\nefficiently simulate the transitions between free and congested traffic, taking\ninto account congestion-responsive traffic assignment and adaptive traffic\ncontrol. We observe dynamic traffic patterns which significantly depend on the\nrespective network topology. Synchronization is only one interesting example\nand implies the emergence of green waves. In this connection, we will discuss\nadaptive strategies of traffic light control which can considerably improve\nthroughputs and travel times, using self-organization principles based on local\ninteractions between vehicles and traffic lights. Similar adaptive control\nprinciples can be applied to other queueing networks such as production\nsystems. In fact, we suggest to turn push operation of traffic systems into\npull operation: By removing vehicles as fast as possible from the network,\nqueuing effects can be most efficiently avoided. The proposed control concept\ncan utilize the cheap sensor technologies available in the future and leads to\nreasonable operation modes. It is flexible, adaptive, robust, and decentralized\nrather than based on precalculated signal plans and a vulnerable traffic\ncontrol center.",
"arxiv_id": "physics/0511018",
"authors": [
"Dirk Helbing",
"Stefan L\u00e4mmer",
"Jean-Patrick Lebacque"
],
"categories": [
"physics.pop-ph",
"physics.soc-ph"
],
"journal_ref": "D. Helbing, S. L\\\"ammer, and J.-P. Lebacque: Self-organized\n control of irregular or perturbed network traffic. In C. Deissenberg and R.\n F. Hartl (eds.) Optimal Control and Dynamic Games (Springer, Dortrecht,\n 2005), pp. 239-274",
"title": "Self-Organized Control of Irregular or Perturbed Network Traffic",
"url": "https://arxiv.org/abs/physics/0511018"
},
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