Green Light Optimal Speed Advisory (GLOSA) helps drivers stop at fewer red traffic lights, reducing unnecessary energy expenditure. While GLOSA has been mainly explored for cars, GLOSA apps tailored to cyclists (bike-GLOSA) may motivate more people to travel sustainably. However, there are still technical hurdles that limit the usefulness of bike-GLOSA. One of these hurdles is lane prediction at subsequent intersections. A previously understudied but practical solution for lane prediction is calculating highly accurate routes that match cyclists' intentions. However, this solution demands more detail to accurately resolve lane topologies at intersections than available in established routing foundations such as OpenStreetMap (OSM). To solve this problem, institutionally maintained infrastructure reference models may provide the needed accuracy and quality assurance. This paper presents specific methods to integrate such a reference model into a bike-GLOSA app, at the example of Hamburg. We propose metadata from routing foundations as a practical solution for future, situationally aware GLOSA apps. Our results show that routing accuracy and lane prediction can be substantially improved with this type of routing foundation. We discuss implications for GLOSA apps and highlight future research directions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Accurate Bike Routing for Lane Prediction in GLOSA Apps via Infrastructure Reference Models


    Contributors:


    Publication date :

    2023-09-24


    Size :

    3060943 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Bike lane quality assessment data

    XenomatiX | Mobilithek

    Free access

    Bike lane network in Valencia

    IG Velo beider Basel | British Library Conference Proceedings | 1995


    Cost-effective bike lane sweeper

    LERMANT PIERRE | European Patent Office | 2024

    Free access

    Enabling GLOSA for adaptive traffic lights

    Bodenheimer, Robert / Brauer, Alexej / Eckhoff, David et al. | IEEE | 2014


    Bike Lane Design for Bicyclists and Bike Sharing in Bandung City

    Widyarini Weningtyas / Qiranawangsih Aulia / Lestari H. Adriani et al. | DOAJ | 2018

    Free access