INFORMATION SYSTEM FOR THE CENTRALIZED DISPLAY OF THE TRANSPORT COMFORT INFORMATION

Zeljko Jovanovic, Ranko Bacevic, Radoljub Markovic, Sinisa Randjic, Dragan Jankovic

DOI Number
10.2298/FUEE1704557J
First page
557
Last page
570

Abstract


This paper introduces the information system for generating road comfort map. As a basis for the development of the system and the source of the comfort information Android application which calculate comfort parameters using accelerometer values is used. The calculated data are recorded in to the files at the proper format. Recorded files are uploaded on the implemented information system to be viewed and analyzed. As a final result of all recorded measurements it is possible to generate a map of roads comfort. The paper presents the current functionality of the system and the current map of the comfort of roads in Serbia. Based on the collected data about 50% of roads are comfortable, 44% is moderately uncomfortable, and 6% is uncomfortable.

Keywords

Android, Transport comfort, GIS, Comfort map

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References


Z. Jovanovic, R. Bacevic, R. Markovic, S. Randjic and D. Jankovic, "Information system for generating road comfort maps", In Proceedings of the 60th International Conference ETRAN, Zlatibor, Serbia, 2016, RT 5.6.

ISO 2631-1:1997 - Mechanical vibration and shock -- Evaluation of human exposure to whole-body vibration -- Part 1: General requirements

M. J. Griffin, Handbook of Human Vibration, Elsevier, 1996.

F. Yi and S. Zhang, "Ride Comfort Simulation under Random Road Based on Multi-Body Dynamics", In 3rd International Workshop on Intelligent Systems and Applications, IEEE, 2011, pp. 1–3.

J. Sun and Q. Yang, "Advanced suspension systems for improving vehicle comfort", In Proceedings of the International Conference on Automation and Logistics, IEEE, 2009, pp. 1264–1267.

S.A. Abu Bakar, P.M. Samin and A.A. Azhar, "Modelling and Validation of Vehicle Ride Comfort Model", Applied Mechanics and Materials, vol. 554, pp. 515–519, 2014.

J. Ahmad Kadri, W.M. Wan Zuki Azman, M.N. Zulkifli, M.J.M. Nor, A. Kamal Ariffin and M. Hosseini Fouladi, "A study on the effects of tyre to vehicle acoustical comfort in passenger car cabin", In Proceedings of the 3rd International Conference on Computer Research and Development, IEEE, 2011, pp. 342–345.

Nikolic, N. Neskovic, R. Antic and A. Anastasijevic, "Industrial wireless sensor networks as a tool for remote on-line management of power transformers’ heating and cooling process", Facta Universitatis, Series: Electronics and Energetics, vol. 30, no. 1, pp: 107–119, 2017.

F. Elfouly, R. Ramadan, M. Mahmoud and M. Dessouky, "Swarm intelligence based reliable and energy balance routing algorithm for wireless sensor network", Facta Universitatis, Series: Electronics and Energetics, vol. 29, no. 3, pp. 339-355, 2016.

Mednis, G. Strazdins, R. Zviedris, G. Kanonirs and L. Selavo, "Real time pothole detection using Android smartphones with accelerometers", In Proceedings of the International Conference on Distributed Computing in Sensor Systems and Workshop, DCOSS’11, 2011.

P. Mohan, V.N. Padmanabhan and R. Ramjee, "TrafficSense : Rich Monitoring of Road and Traffic Conditions using Mobile Smartphones", In Proceedings of the 6th ACM conference on Embedded network sensor systems, ACM 2008, pp. 323-336.

J. Cuadrado, D. Dopico, J. Perez, et al., "Automotive observers based on multibody models and the extended Kalman filter", Multibody System Dynamics, vol. 27, no. 1, pp. 3-19, 2012.

J. Lee, E. Park, S. Robinovitch, "Estimation of Attitude and External Acceleration Using Inertial Sensor Measurement During Various Dynamic Conditions", IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 8, pp. 2262-2273, 2012.

J. Blanco-Claraco, J. Torres-Moreno, A. Giménez-Fernández, "Multibody dynamic systems as Bayesian networks: Applications to robust state estimation of mechanisms", Multibody System Dynamics, vol. 34, no. 2, pp. 103-128, 2015.

J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden and F. Balakrishnan, "The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring", In Proceedings of the 6th International Conference on Mobile System, Applications and Services, 2008, pp. 29-39.

J. Dickey, M. Oliver, P. Boileau, T. Eger, L. Trick and A. Edwards, "Multi-axis sinusoidal whole-body vibrations: Part I - How long should the vibration and rest exposures be for reliable discomfort measures?", Journal of Low frequency noise, vibration and active control, vol. 25, no. 3, pp. 175-184, 2006.

J. Dickey, T. Eger, M. Oliver, P. Boileau, L. Trick and A. Edwards, "Multi-axis sinusoidal whole-body vibrations: Part ll - Relationship between Vibration Total Value and discomfort varies between vibration axes", Journal of Low frequency noise, vibration and active control, vol. 26, no. 3, pp. 195-204, 2009.

C. Garrido, R. De Oña, J. De Oña, "Neural networks for analyzing service quality in public transportation", Expert Systems with Applications, vol. 41, no. 15, pp. 6830-6838, 2014.

G. Xiao, Z. Juan, C. Zhang, "Travel mode detection based on GPS track data and Bayesian networks", Computers, Environment and Urban Systems, vol. 54, pp. 14-22, 2015.

Z. Jovanovic, R. Bacevic, R. Markovic, S. Randjic, "Android application for observing data streams from built-in sensors using RxJava", In Proceedings of the 23rd Telecommunition Forum Telfor, IEEE, 2015, pp. 918–921.

ReactiveX, (n.d.). http://reactivex.io/ (accessed October 5, 2015).


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ISSN: 0353-3670 (Print)

ISSN: 2217-5997 (Online)

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