Abstract | ||
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Pervasive urban applications are an upcoming domain in the context of open data and smart cities. They can be considered as applications with a purpose closing the loop from the provision of valuable services for citizens based on available data sets to the motivation of citizens to participate in the collection of new data. In this paper, we present BikeNow, an application that supports cyclists during their ride to minimize the stopping time at red traffic lights. BikeNow predicts the next green light phases of traffic lights along the track of cyclists and provides a suggestion to keep or change the current speed. The purpose of BikeNow is to motivate cyclists to allow the submission of ride related data like current time, position and speed that is of high value for traffic evaluation, prediction and future planing of cycle paths. The evaluation is based on a preliminary survey with 79 participants to study the target user group and a user study with 14 participants to assess the usability of the application. In addition we analyze the value of collectible data for urban traffic analysis and cycle path network planning. |
Year | DOI | Venue |
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2016 | 10.1145/2968219.2968419 | UbiComp Adjunct |
Keywords | Field | DocType |
Bicycle, Driver Assistance System, Crowdsourcing, Traffic, Speed Suggestions, City Planning, Pervasive Application | Open data,Data set,Traffic analysis,Network planning and design,Computer science,Computer security,Crowdsourcing,Transport engineering,Usability,Urban planning,Human–computer interaction,Stopping time | Conference |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sven Fröhlich | 1 | 2 | 0.71 |
Thomas Springer | 2 | 285 | 36.05 |
Stephan Dinter | 3 | 2 | 0.38 |
Sebastian Pape | 4 | 2 | 0.38 |
Alexander Schill | 5 | 426 | 81.97 |
Jürgen Krimmling | 6 | 2 | 0.38 |