To assess the practical applicability of PedCTM, a detailed analysis of pedestrian flows in PU West of Lausanne railway
station (see Fig. 4) is carried out. Specifically, the period between 07:40 and 07:45 in the morning peak hour of January
22, 2013 is investigated. It represents the busiest five-minute period throughout the day. While for calibration only the North
part of PU West has been considered, for validation the complete pedestrian underpass is analyzed. Additionally, the Dutch
bottleneck experiment is studied to explore the behavior of PedCTM in situations involving very high densities.
The performance of PedCTM is evaluated with respect to predictions of travel times and density levels. First, its results are
compared with the ground truth that is available from tracking data. Second, for the case study of Lausanne railway station,
PedCTM is compared with Viswalk (PTV, 2013, Version 5.40) that implements the social force model (SFM; Helbing and
Molnár, 1995). Introduced less than two decades ago, SFM is the current state of the art in pedestrian flow modeling.
For the simulation using SFM, default parameters of Viswalk are used, which are based on a calibration performed by
Johansson et al. (2007). Pedestrian demand is aggregated in 60-s periods for Viswalk due to the lack of a suitable mechanism
To assess the practical applicability of PedCTM, a detailed analysis of pedestrian flows in PU West of Lausanne railwaystation (see Fig. 4) is carried out. Specifically, the period between 07:40 and 07:45 in the morning peak hour of January22, 2013 is investigated. It represents the busiest five-minute period throughout the day. While for calibration only the Northpart of PU West has been considered, for validation the complete pedestrian underpass is analyzed. Additionally, the Dutchbottleneck experiment is studied to explore the behavior of PedCTM in situations involving very high densities.The performance of PedCTM is evaluated with respect to predictions of travel times and density levels. First, its results arecompared with the ground truth that is available from tracking data. Second, for the case study of Lausanne railway station,PedCTM is compared with Viswalk (PTV, 2013, Version 5.40) that implements the social force model (SFM; Helbing andMolnár, 1995). Introduced less than two decades ago, SFM is the current state of the art in pedestrian flow modeling.For the simulation using SFM, default parameters of Viswalk are used, which are based on a calibration performed byJohansson et al. (2007). Pedestrian demand is aggregated in 60-s periods for Viswalk due to the lack of a suitable mechanism
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