Route planning for blind pedestrians using OpenStreetMap

Ontology-based Route Planning for OpenStreetMap

We develop a web service for route finding in OpenStreetMap (OSM) following an activity-centred approach: the aim is not only to assist the user in travelling from A to B, but also to perform a series of specified activities along the way. This is particularly important e.g. for electric mobility, where activities can take place while the battery of the car is recharging. For specifying activit...

Building a Weighted Graph based on OpenStreetMap Data for Routing Algorithms for Blind Pedestrians

Pedestrians' Route Choice Model for Shopping Behavior

This paper presents an agent-based model to address the pedestrian route choice problem in shopping malls. Route choice in shopping malls may be defined by a number of causal factors. Shoppers may follow a pre-defined schedule, they may be influenced by other people walking, or may want to get a glimpse of a familiar shopping. The route choice process assumes that the cost of each route can be ...

Designing Conversational Navigation for Blind Pedestrians

Copyright is held by the author/owner(s). CHI’17, May 6–11, 2017, Denver, CO, USA. Workshop on Conversational UX Design. Abstract In this workshop, we discuss our long-term research leading towards a design of conversational navigation application for blind pedestrians. We describe steps we took in order to capture the structure of dialogs on human-human conversation example and approach we app...

Efficient Route Compression for Hybrid Route Planning

We describe an algorithmic framework for lossless compression of route descriptions. This is useful for hybrid route planning where routes are computed by a server and then transmitted to a client device in a car using some mobile radio communication where bandwidth may be low. Compressed routes are represented by only a few via nodes which are the connection points when the route is decomposed...