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 language | English |
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Title of host publication | 2018 European Control Conference, ECC 2018 |
Editors | Marios Polycarpou, Thomas Parisini, Christos Panayiotou, Christoforos Hadjicostis |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1666-1671 |
Number of pages | 6 |
ISBN (Electronic) | 978-3-9524-2698-2 |
DOIs | |
Publication status | Published - 2018 |
Event | 16th European Control Conference, ECC 2018 - Limassol, Cyprus Duration: 12 Jun 2018 → 15 Jun 2018 http://www.ecc18.eu/ |
Conference
Conference | 16th European Control Conference, ECC 2018 |
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Abbreviated title | ECC 2018 |
Country/Territory | Cyprus |
City | Limassol |
Period | 12/06/18 → 15/06/18 |
Internet address |