Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data

Bauer D (2011)
In: Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services. Lyon, France.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Erscheinungsjahr
2011
Titel des Konferenzbandes
Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services
Page URI
https://pub.uni-bielefeld.de/record/2670757

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Bauer D. Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data. In: Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services. Lyon, France; 2011.
Bauer, D. (2011). Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data. Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services
Bauer, D. (2011). “Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data” in Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services (Lyon, France).
Bauer, D., 2011. Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data. In Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services. Lyon, France.
D. Bauer, “Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data”, Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services, Lyon, France: 2011.
Bauer, D.: Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data. Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services. Lyon, France (2011).
Bauer, Dietmar. “Estimating Time-Dependent OD-matrices for pedestrian infrastructures from high frequent pedestrian counting data”. Proceedings of the 8-th European Congress and Exhibition on Intelligent Transport Systems and Services. Lyon, France, 2011.

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