Achituv Cohen
Short bio:
I’m a PhD student in the Technion institute. I have been doing research since 2015 about navigation and routing capacities for blind pedestrians based on crowd-sourced maps, supervised by Dr. Sagi Dalyot from Technion and Prof. Shiri Azenkot from Cornell Tech.
Research interests:
My research focuses on navigation and routing capacities and solutions for blind pedestrians based on crowdsourced maps. I am currently investigating and developing accessibility models of cities related to pedestrians with visual impairments, under the supervision of Dr. Sagi Dalyot and Dr. Asya Natapov (School of Architecture, Building and Civil Engineering, Loughborough University).
Publications:
Cohen, Achituv, and Sagi Dalyot, 2021. “Route planning for blind pedestrians using OpenStreetMap“. Environment and Planning B: Urban Analytics and City Science 48.6: 1511-1526.
Achituv Cohen ,Sagi Dalyot,”Machine‐learning prediction models for pedestrian traffic flow levels: Towards optimizing walking routes for blind pedestrians“. Transactions in GIS, Volume 24 Issue 5, October 2020,Pages 1264-1279.
Achituv Cohen, Sagi Dalyot, 2019 “Pedestrian Traffic Flow Prediction based on ANN Model and OSM Data“. Proceedings of the ICA.
Achituv Cohen, Sagi Dalyot, and Shiri Azenkot ,2016, “Generation of Weighted Graph of Routing Network for Blind Pedestrian based on Open Street Map (OSM) Data” , FIG Commission 3 Workshop, 2016, Iasi, Romania