RESEARCH PAPER
Testing trajectory of road trains with program complexes
 
More details
Hide details
1
Department of Ground Transport Systems, Jizzakh Polytechnic Institute, Jizzakh
2
Department of Road and Urban Transport, University of Zilina
CORRESPONDING AUTHOR
Miroslava Mikusova   

Department of Road and Urban Transport, University of Zilina
Publish date: 2019-03-29
Submission date: 2018-12-03
Final revision date: 2018-12-19
Acceptance date: 2019-01-08
 
The Archives of Automotive Engineering – Archiwum Motoryzacji 2019;83(1):103–112
KEYWORDS
TOPICS
ABSTRACT
The article provides information about using software for determination off tracking and trajectory movement of trucks. It describes experiment of determination of trajectory movement of trucks, using GPS system, to assess the compliance of similar models of the movement of road trains in computer-aided road design systems. Experimental study was conducted using truck KAMAZ 54115 and semi-trailer M 9397 in real road conditions. There are presented and compared results of the study of movement trajectories of road trains with results obtained of the Auto TURN software package application. Discrepancy between the curves is explained. As the difference in AutoTURN data in comparison with experimental values does not exceed 4.07 %, which, given the very similar nature of the curves, can be considered valid. As a conclusion the use of AutoTURN software package is validated for determining dynamic dimension of cars and for modelling trajectory of movement, not only for road trains, but also for all types of vehicles in the area of their design.
 
REFERENCES (30)
1.
Alsobsky P., Hrkut P., Mikusova M. A smart Application for University Bus Routes Optimization. INTSYS2017, Intelligent Transport Systems – From Research and Development to the Market Uptake, Lecture Notes of the Institute for Computes Sciences, Social Informatics and Telecommunications Engineering, vol. 222, 2017, pp. 12-20.
 
2.
Asgari F., Sultan A., Xiong H. Y., Gauthier V., El-Yacoubi M. A. CT-Mapper: Mapping sparse multimodal cellular trajectories using a multilayer transportation network. COMPUTER COMMUNICATIONS, Vol. 95, 69-81, December, 2016, DOI: 10.1016/j.comcom.2016.04.014.
 
3.
Asriyants A. Investigation of the controlled movement of a road train. MADI, 1973, 189 pp.
 
4.
Davydov B., Kablukova K., Godyaev A. Prediction of the Train Traffic in a Transport Corridor, Procedia Engineering, Vol. 165, 2016, 1430-1436, ISSN 1877-7058, DOI: https://doi.org/10.1016/j.proe....
 
5.
De Villiers J. P.; Godsill S. J.; Singh, S. S. Particle predictive control. Journal of statistical planning and inference, Vol. 144, Iss.5, 1753-1763, May 2011.
 
6.
Dolly Mary A., Mathew A. T., Jacob J. A Robust H-infinity Control Approach of Uncertain Tractor Trailer System. IETE Journal of Research, 59, 2013,38-47, DOI: 10.4103/0377-2063.110626.
 
7.
Horalek J., Sobeslav V. Analysis of software routing solution based on mini PC platform for oT. Lecture Notes in Computer Science, vol. 11055 LNAI, 2018, pp. 455-466.
 
8.
Jamroz K., Budzynski K., Kustra W. et al. Tools for road infrastructure safety management - Polish experiences. 17th Meeting of the EURO-Working-Group on Transportation, Transportation Research Procedia , vol. 3, 2014, pp. 730-739, DOI: https://doi.org/10.1016/j.trpr....
 
9.
Jankowska D., Mikusova M., Wacowska-Slęzak J. Mobility Issues in Selected Regions of Poland and Slovakia – Outcomes of International Project SOL (Save Our Lives) Survey. Period. Polytech. Transp. Eng., Vol. 43, No. 2, 2015, pp. 67-72, DOI: 10.3311/PPtr.7580.
 
10.
Keller, A. V., Gorelov, V. A., Anchukov, V. V. Modelling Truck Driveline Dynamic Loads at Differential Locking Unit Engagement. Procedia Engineering, Vol. 129, 2015, 280-287, ISSN 1877-7058, DOI: https://doi.org/10.1016/j.proe....
 
11.
Kondakov S. V., Dyakonov A. A., Dubrovskiy N.V. Simulation modelling of the curvilinear motion of an industrial tractor with a differential rotation mechanism and tracking trajectory stabilization system. International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2018), MATEC Web of Conferences, 224, 2018, DOI: https://doi.org/10.1051/matecc....
 
12.
Korlaet, Z.. Designing criteria of acute angle four-leg intersection at grade. Dragcevic & Stanceric, 2012.
 
13.
Maciejowski, J., Alison, E. Real-time optimisation-based planning and scheduling of vehicla trajectories. 17th IEEE Mediterranean Electrotechnical Conference (MELECON), Beirut, Lebanon, April, 2014, 305-309.
 
14.
Mikusova M. Crash avoidance systems and collision safety devices for vehicle. DYN-WIND2017, vol. 107, article num. 00024, DOI: 10.1051/matecconf/201710700024.
 
15.
Mikusova M., Gnap J. Experiences with the implementation of measures and tools for road safety. CIT 2016: XII congreso de ingenieria del transporte, Valencia, Spain, 2016, pp. 1632-1638.
 
16.
Mikusova M. Joint efforts needed to prevent traffic accidents, injuries and fatalities. Safety and Security Engineering V., cWITT Press, 2013, pp. 503-514, DOI: 10.2495/SAFE130451.
 
17.
Mikusova M. Sustainable structure for the quality management scheme to support mobility of people with disabilities. Procedia - social and behavioural sciences, vol. 160, 2014, pp. 400-409. DOI: 10.1016/j.sbspro.2014.12.152.
 
18.
Mikusova M. Value of networking in transport policy related to the road safety. Modern transport telematics: 11th international conference on transport systems telematics, TST 2011, Katowice-Ustron, Poland, October 19-22, 2011: selected papers. - Berlin Heidelberg: Springer-Verlag, 2011, pp. 70-77, DOI: https://doi.org/10.1007/978-3-....
 
19.
Mikusova M., Torok A., Brida, P. Technological and economical context of renewable and non-renewable energy in electric mobility in Slovakia and Hungary. ICCCI 2018 - 10th International Conference on Computational Collective Intelligence - Special Session on Intelligent Sustainable Smart Cities, 2018, pp. 429-436.
 
20.
Ozatay, E. Onori, S., Wollaeger, J., et al. Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Vol. 15, Iss. 6, 2491-2505, December, 2014, DOI: 10.1109/TITS.2014.2319812.
 
21.
Poliak, M. The Relationship with Reasonable Profit and Risk in Public Passenger Transport in the Slovakia. Ekonomicky casopis, Vol. 1, Iss.2, 206-220, 2013.
 
22.
Rievaj V., Mokrickova L., Synak F. Benefits of autonomously driven vehicle. Transport and communications: scientific journal, vol. 4, No. 2, 2016, pp. 15-17.
 
23.
Siva, E., Goulart, P., Maciejowski, J. et al. Stability of model predictive control using Markov chain Monte Carlo optimisation. Conference: Proc. European Control, Budapest, Hungary, August, 2009.
 
24.
Underwood, L., Jermy, M. Mathematical model of track cycling: the individual pursuit. Procedia Engineering, Vol. 2, Iss. 2, 2010, 3217-3222. ISSN 1877-7058, DOI: https://doi.org/10.1016/j.proe....
 
25.
Varik V., Gregor M., Grznar P. Computer Simulation as a Tool for the Optimization of Logistics Using Automated Guided Vehicles. 12th International Scientific Conference Of Young Scientists On Sustainable, Modern and Safe Transport - TRANSCOM 2017, Vol. 192, 2017, pp. 923-928.
 
26.
Vasiliev A. P. Requirements for the element of the plan and the profile of the road in the combined automobile and trolleybus movement. Collection MADI, 1975, pp. 189-194.
 
27.
Xun, Li; Li, Liu; Lei, Huang; et al. A Method of Vehicle Trajectory Tracking and Prediction Based on Traffic Video. 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China,October, 2016, 449-453.
 
28.
Zefher M., Torok A. Single loop detector data validation and imputation of missing data. vol. 116, February 2018, pp. 193-198.
 
29.
Zukowska J., Mikusova M., Michalski, L. Integrated safety systems - the approach toward sustainable transport. In: Archives of transport system telematics. - ISSN 1899-8208. - Vol. 10, iss. 2 (2017), s. 44-48.
 
eISSN:2084-476X