The modelling and simulation of the interaction among vehicles and pedestrians during cross-walking is an open challenge for both research and practical computational solutions supporting urban/traffic decision makers and managers. The social cost of pedestrians' risky behaviour pushes the development of a new generation of computational models integrating analytical knowledge, data and experience about the complex dynamics occurring in pedestrian/vehicle interactions, which are not completely understood despite recent efforts. This paper presents the results of a significant data gathering campaign realised at an unsignalized zebra crossing. The selected area of the city of Milan (Italy) is characterised by a significant presence of elderly inhabitants and pedestrian-vehicle risky interactions, testified by a high number of accidents involving pedestrians in the past years. The results concern the analysis of: (i) vehicular and pedestrian traffic volumes; (ii) level of service; (iii) pedestrian-vehicle interactions, considering the impact of ageing on crossing behaviour. Results showed that the phenomenon is characterised by three main phases: approaching, appraising (evaluation of the distance and speed of oncoming vehicles) and crossing. The final objective of the research is to support the development of a microscopic agent-based tool for simulating pedestrian behaviour at unsignalized crosswalks, focusing on the specific needs of the elderly pedestrians

Gorrini, A., Vizzari, G., Bandini, S. (2016). Towards Modeling Pedestrian-Vehicle Interactions: Empirical Study on Urban Unsignalized Intersection. In Proceedings of Pedestrian and Evacuation Dynamics 2016.

Towards Modeling Pedestrian-Vehicle Interactions: Empirical Study on Urban Unsignalized Intersection

GORRINI, ANDREA
Primo
;
VIZZARI, GIUSEPPE
Secondo
;
BANDINI, STEFANIA
Ultimo
2016

Abstract

The modelling and simulation of the interaction among vehicles and pedestrians during cross-walking is an open challenge for both research and practical computational solutions supporting urban/traffic decision makers and managers. The social cost of pedestrians' risky behaviour pushes the development of a new generation of computational models integrating analytical knowledge, data and experience about the complex dynamics occurring in pedestrian/vehicle interactions, which are not completely understood despite recent efforts. This paper presents the results of a significant data gathering campaign realised at an unsignalized zebra crossing. The selected area of the city of Milan (Italy) is characterised by a significant presence of elderly inhabitants and pedestrian-vehicle risky interactions, testified by a high number of accidents involving pedestrians in the past years. The results concern the analysis of: (i) vehicular and pedestrian traffic volumes; (ii) level of service; (iii) pedestrian-vehicle interactions, considering the impact of ageing on crossing behaviour. Results showed that the phenomenon is characterised by three main phases: approaching, appraising (evaluation of the distance and speed of oncoming vehicles) and crossing. The final objective of the research is to support the development of a microscopic agent-based tool for simulating pedestrian behaviour at unsignalized crosswalks, focusing on the specific needs of the elderly pedestrians
paper
Pedestrian, Crossing behaviour, Ageing, Observation
English
International Conference on Pedestrian and Evacuation Dynamics
2016
Weiguo, S; Jian, M; Libi, F
Proceedings of Pedestrian and Evacuation Dynamics 2016
978-7-312-04077-1
2016
none
Gorrini, A., Vizzari, G., Bandini, S. (2016). Towards Modeling Pedestrian-Vehicle Interactions: Empirical Study on Urban Unsignalized Intersection. In Proceedings of Pedestrian and Evacuation Dynamics 2016.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/147581
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact