Smart City Gnosys

Smart city article details

Title The Gap Between Cycling Practices And Mapping Services For Smart Cycling
ID_Doc 55604
Authors Carvalho C.; Jose R.
Year 2022
Published ISC2 2022 - 8th IEEE International Smart Cities Conference
DOI http://dx.doi.org/10.1109/ISC255366.2022.9922089
Abstract Cycling is gaining priority in urban mobility policies and smart cities should be prepared to offer smart cycling services that help to promote such transition. A key element for many of those services is a Geographic Information System and particularly a road network model that represents all the possible roads in a city. The main contribution of this work is the identification and characterization of an important gap between the GPS traces corresponding to the real routes made by cyclists and their representation in the road network model of Open Street Map (OSM). More specifically, there are parts of the GPS traces that cannot be mapped into the road network of OSM, because they have no matching representation. We call these segments, ad-hoc segments. To develop a deeper understanding about this problem, we collected data from a specially designed route and analysed how the respective trace was mapped into OSM. We identified all the occurrences of ad-hoc segments and categorized them according to their root cause. The results suggest that the main overall cause of these problems is directly linked with limitations of the road network model, such as missing roads. This seems to indicate that road network models, as commonly used in OSM, do not properly address the specificities of cycling, or micro-mobility in general. This problem has a major impact in the quality of the services provided to urban cyclists and in the value of the data available for micro-mobility planning and management. © 2022 IEEE.
Author Keywords Cycling Routes; map-matching; micro-mobility; OSM; smart cycling; urban mobility


Similar Articles


Id Similarity Authors Title Published
57738 View0.869Oliveira F.; Costa D.G.Toward Sustainable Cycling: Modelling And Visualization Issues Of Cycle Paths For Iot-Based Sensing2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021)
19951 View0.863Zare P.; Pettit C.; Leao S.; Gudes O.Digital Bicycling Planning: A Systematic Literature Review Of Data-Driven ApproachesSustainability (Switzerland), 14, 23 (2022)
59864 View0.862Liu S.; Shen Z.-J.M.; Ji X.Urban Bike Lane Planning With Bike Trajectories: Models, Algorithms, And A Real-World Case StudyManufacturing and Service Operations Management, 24, 5 (2022)
23768 View0.858Ferreira J.M.; Costa D.G.Enhancing Cycling Safety In Smart Cities: A Data-Driven Embedded Risk Alert SystemSmart Cities, 7, 4 (2024)
37229 View0.855Ferreira J.M.; Bittencourt J.C.N.; Costa D.G.Mobialert: A Data-Driven Embedded System Approach To Enhance Safety For Cyclists2024 IEEE Smart Cities Futures Summit, SCFC 2024 (2024)
24688 View0.853Karolemeas C.; Tsigdinos S.; Bakogiannis E.; Nikitas A.Evaluating The Suitability Of Urban Road Networks To Facilitate Autonomous BusesTransportation Research Procedia, 62 (2022)
49602 View0.852Silva L.; Calazans M.; Vasconcelos L.; Barcellos R.; Trevisan D.; Viterbo J.Smart Cities In Focus: A Bicycle Transport Applications AnalysisProceedings of the 2023 26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023 (2023)