A Crowdsensing Solution for Tracking Bicycle Path Conditions

The Flemish Agency for roads and traffic carries out bi-annual measurements to make an inventory of the physical conditions of bicycle paths. This is currently an expensive endeavor, performed by government employees using dedicated and expensive equipment. Moreover, these measurements are usually only performed once and are limited to larger bicycle paths. This results in partial (50% of bicycle paths being measured) and out-of-date measurements. This paper presents the design and development of a crowdsensing solution to measure bike paths conditions daily. An embedded device accompanied with a software platform allows us to update the inventory of the path-conditions more frequent, accurate and cost-friendly. Overhead for cyclists is minimized and security is taken into account as the devices are used in uncontrolled environments.

[1]  Shinhye Joo,et al.  A novel method to monitor bicycling environments , 2013 .

[2]  Mihai Marin-Perianu,et al.  Measurement of dynamic comfort in cycling using wireless acceleration sensors , 2012 .

[3]  Bin Guo,et al.  From participatory sensing to Mobile Crowd Sensing , 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

[4]  M. Valle,et al.  Uso De Datos Pasivos Obtenidos Mediante Dispositivos Inerciales Para Inferir La Condición Del Pavimento En Ciclovías , 2019, Revista ingeniería de construcción.

[5]  H Jones,et al.  Roadroid continuous road condition monitoring with smart phones , 2014 .

[6]  Astarita Vittorio,et al.  Automated Sensing System for Monitoring of Road Surface Quality by Mobile Devices , 2014 .

[7]  Alberto Carini,et al.  Sensing road roughness via mobile devices: A study on speed influence , 2015, 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA).

[8]  Aniket Kulkarni,et al.  Pothole Detection System using Machine Learning on Android , 2014 .

[9]  Girts Strazdins,et al.  Real time pothole detection using Android smartphones with accelerometers , 2011, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS).

[10]  Veit Senner,et al.  Cycling comfort on different road surfaces , 2012 .

[11]  Nigel H. Lovell,et al.  Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement , 2015, Sensors.

[12]  Ryan Newton,et al.  The pothole patrol: using a mobile sensor network for road surface monitoring , 2008, MobiSys '08.

[13]  M. Valle,et al.  condición del pavimento en ciclovías Use of passive data obtained by inertial sensors to infer pavement conditions on bike lanes , 2019 .

[14]  Mark D Taylor,et al.  IntelliBike: a cycle path surface quality assessment tool , 2014 .