A research titled ‘Measuring accident risk exposure for pedestrians in different micro-environments’ co-authored by S.Lassarre, E.Papadimitriou, G.Yannis and J.Golias was published in the Journal Accident Analysis and Prevention in November 2007. A model of pedestrians’ crossing behaviour along a trip is developed, based on a hierarchical choice between junctions and mid-block locations and taking account of origin and destination, traffic characteristics and pedestrian facilities. A complete framework is produced for modelling pedestrians’ exposure in the light of their crossing behaviour. The feasibility of this approach is demonstrated on an artificial network and a first set of results is obtained from the validation of the models in observational studies.
Measuring accident risk exposure for pedestrians in different micro-environments 2007
Related Posts
-
European Commission – Promoting Safe Mobility: Protective Equipment, June 2024
June 27th, 2024 | Comments Off on European Commission – Promoting Safe Mobility: Protective Equipment, June 2024 -
Leveraging Machine Learning Algorithms to Predict and Analyze Single-Vehicle and Multi-Vehicle Crash Occurrences on Motorways, June 2024
June 27th, 2024 | Comments Off on Leveraging Machine Learning Algorithms to Predict and Analyze Single-Vehicle and Multi-Vehicle Crash Occurrences on Motorways, June 2024 -
European Council – Conclusions to strengthen the EU’s efforts to achieve road safety objectives, June 2024
June 21st, 2024 | Comments Off on European Council – Conclusions to strengthen the EU’s efforts to achieve road safety objectives, June 2024