Optimizing traffic lights in a cellular automaton model for city traffic. Barlovic, R., Brockfeld, E., Schadschneider, A., & Schreckenberg, M. Physical Review E, 64(64, 056132):056132, Oct, 2001. LIDO-Berichtsjahr=2003,
Optimizing traffic lights in a cellular automaton model for city traffic [link]Paper  doi  abstract   bibtex   9 downloads  
We study the impact of global traffic light control strategies in a recently proposed cellular automaton model for vehicular traffic in city networks. The model combines basic ideas of the Biham-Middleton-Levine model for city traffic and the Nagel-Schreckenberg model for highway traffic. The city network has a simple square lattice geometry. All streets and intersections are treated equally, i.e., there are no dominant streets. Starting from a simple synchronized strategy, we show that the capacity of the network strongly depends on the cycle times of the traffic lights. Moreover, we point out that the optimal time periods are determined by the geometric characteristics of the network, i.e., the distance between the intersections. In the case of synchronized traffic lights, the derivation of the optimal cycle times in the network can be reduced to a simpler problem, the flow optimization of a single street with one traffic light operating as a bottleneck. In order to obtain an enhanced throughput in the model, improved global strategies are tested, e.g., green wave and random switching strategies, which lead to surprising results.
@article{Barlovic2001,
	author = {R. Barlovic and Elmar Brockfeld and A. Schadschneider and M. Schreckenberg},
	journal = {Physical Review E},
	title = {Optimizing traffic lights in a cellular automaton model for city traffic},
	year = {2001},
	month = {Oct},
	note = {LIDO-Berichtsjahr=2003,},
	number = {64, 056132},
	pages = {056132},
	volume = {64},
	abstract = {We study the impact of global traffic light control strategies in
	a recently proposed cellular automaton model for vehicular traffic
	in city networks. The model combines basic ideas of the Biham-Middleton-Levine
	model for city traffic and the Nagel-Schreckenberg model for highway
	traffic. The city network has a simple square lattice geometry. All
	streets and intersections are treated equally, i.e., there are no
	dominant streets. Starting from a simple synchronized strategy, we
	show that the capacity of the network strongly depends on the cycle
	times of the traffic lights. Moreover, we point out that the optimal
	time periods are determined by the geometric characteristics of the
	network, i.e., the distance between the intersections. In the case
	of synchronized traffic lights, the derivation of the optimal cycle
	times in the network can be reduced to a simpler problem, the flow
	optimization of a single street with one traffic light operating
	as a bottleneck. In order to obtain an enhanced throughput in the
	model, improved global strategies are tested, e.g., green wave and
	random switching strategies, which lead to surprising results.},
	doi = {10.1103/PhysRevE.64.056132},
	groups = {TLS, TS, assigned2groups},
	keywords = {DLR/TS/VM},
	owner = {dkrajzew},
	timestamp = {2011.09.30},
	url = {http://elib.dlr.de/6570/}
}

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