The assessment of the safety of road crossing facilities in urban scenarios can be supported by means of advanced computer-based simulations. Integrated models considering the vehicular and pedestrian traffic, and their interactions, still lack empirical evidences about the heterogeneous features of pedestrians, with particular reference to age-driven crossing behaviour. Elderly pedestrians are indeed one the most vulnerable road users, due to the progressive decline of cognitive and motor ability linked to ageing. In this paper we introduce the results of an observation at a non-signalised intersection aimed at characterising the crossing behaviour of the elderly. In particular, we compare the results about the crossing speeds and accepted safety gap among two sample of adult and elderly pedestrians while crossing. Then, the paper proposes an innovative approach for modelling pedestrians and vehicles interactions in the area of a zebra crossing, either signalized or not, considering the impact of age.

Bandini, S., Crociani, L., Gorrini, A., Vizzari, G. (2018). Crossing behaviour of the elderly: Road safety assessment through simulations. In AI*AAL.it 2017 Artificial Intelligence for Ambient Assisted Living. Proceedings of the Third Italian Workshop on Artificial Intelligence for Ambient Assisted Living 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017). Bari, Italy, November 16th and 17th, 2017. (pp.4-16). CEUR-WS.

Crossing behaviour of the elderly: Road safety assessment through simulations

Bandini, Stefania
Primo
;
Crociani, Luca;Gorrini, Andrea
Penultimo
;
Vizzari, Giuseppe
Ultimo
2018

Abstract

The assessment of the safety of road crossing facilities in urban scenarios can be supported by means of advanced computer-based simulations. Integrated models considering the vehicular and pedestrian traffic, and their interactions, still lack empirical evidences about the heterogeneous features of pedestrians, with particular reference to age-driven crossing behaviour. Elderly pedestrians are indeed one the most vulnerable road users, due to the progressive decline of cognitive and motor ability linked to ageing. In this paper we introduce the results of an observation at a non-signalised intersection aimed at characterising the crossing behaviour of the elderly. In particular, we compare the results about the crossing speeds and accepted safety gap among two sample of adult and elderly pedestrians while crossing. Then, the paper proposes an innovative approach for modelling pedestrians and vehicles interactions in the area of a zebra crossing, either signalized or not, considering the impact of age.
paper
Ageing; Crossing; Modelling; Pedestrian; Simulation
English
3rd Italian Workshop on Artificial Intelligence for Ambient Assisted Living, AI*AAL.it 2017
2017
AI*AAL.it 2017 Artificial Intelligence for Ambient Assisted Living. Proceedings of the Third Italian Workshop on Artificial Intelligence for Ambient Assisted Living 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017). Bari, Italy, November 16th and 17th, 2017.
2018
2061
4
16
http://ceur-ws.org/Vol-2061/paper1.pdf
none
Bandini, S., Crociani, L., Gorrini, A., Vizzari, G. (2018). Crossing behaviour of the elderly: Road safety assessment through simulations. In AI*AAL.it 2017 Artificial Intelligence for Ambient Assisted Living. Proceedings of the Third Italian Workshop on Artificial Intelligence for Ambient Assisted Living 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017). Bari, Italy, November 16th and 17th, 2017. (pp.4-16). CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/202254
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