Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

When travelling in urban areas with signalised intersections, cyclists are currently unable to optimize their speed profile according to their preferences. By integrating information from traffic signal phase and timing and cyclists' preferences, in this paper an algorithm is developed that generates personalised optimal speed advice for cyclists. Results from the simulation experiment indicate that in spite of stochastic nature of traffic light phase and timing, with the developed algorithm based on stochastic dynamic programming, an speed profile can be advised that meets the cyclist's preferences in terms of travel time, energy consumption, or the number of stops.
Original languageEnglish
Title of host publication2018 European Control Conference, ECC 2018
EditorsMarios Polycarpou, Thomas Parisini, Christos Panayiotou, Christoforos Hadjicostis
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1666-1671
Number of pages6
ISBN (Electronic)978-3-9524-2698-2
DOIs
Publication statusPublished - 2018
Event16th European Control Conference, ECC 2018 - Limassol, Cyprus
Duration: 12 Jun 201815 Jun 2018
http://www.ecc18.eu/

Conference

Conference16th European Control Conference, ECC 2018
Abbreviated titleECC 2018
CountryCyprus
CityLimassol
Period12/06/1815/06/18
Internet address

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