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Pedestrian route planning based on an enhanced representation of pedestrian network and probabilistic estimate of signal delays

Pedestrian route planning based on an enhanced representation of pedestrian network and probabilistic estimate of signal delays

Klochkova, Olena, Wang, Jia ORCID: 0000-0003-4379-9724, Wood, Zena Marie ORCID: 0000-0001-8843-9832 and Worboys, Michael (2017) Pedestrian route planning based on an enhanced representation of pedestrian network and probabilistic estimate of signal delays. In: GISRUK 2017 Proceedings. UNSPECIFIED.

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Abstract

The paper proposes an enhanced representation of the pedestrian network that provides benefits for pedestrian route planning over a network representation that is used by a majority of existing route planning services. Pedestrian network is represented in the proposed methodology by pavements and crossings between them. Route planning is based on the travel time derived from distance and average walking speed. Additional delays calculated using probabilistic method are applied for signal crossings. This allowed more accurate pedestrian route choice by accounting for signal delays and pavement closure, which is not possible under a usual network representation used for vehicles.

Item Type: Conference Proceedings
Title of Proceedings: GISRUK 2017 Proceedings
Additional Information: Conference held from 18-21 April 2017, Manchester, UK.
Uncontrolled Keywords: Pedestrian; Network; Routing; Representation; Probabilistic estimate
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Faculty of Architecture, Computing & Humanities > Greenwich GI Science Research Group
Related URLs:
Last Modified: 02 Dec 2018 23:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/16575

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