INTERNET TECHNOLOGIES FOR TRAFFIC AND PEDESTRIAN DATA COLLECTION

Abstract

The article shows the technology of obtaining initial data on the state and functioning of the city transport system. The technology makes it possible to obtain data on the intensity of any movement: intensity of traffic, pedestrians and passengers. The main idea is to form and monitor the implementation of the monitoring program, during which it is possible to elaborate in detail the entire procedure for collecting information, including the dislocation of places for collecting the intensity of traffic, passengers and pedestrians, including the time of their collection. At the stage of direct data collection software provides clear unambiguous instructions for each accountant involved in the survey, about what actions at the given time it needs to take. The large volume of preparatory and organizational activities given out by the hardware and software allows using the technology to significantly simplify the issues of monitoring the technology of information collected, as well as the culling of incorrectly collected information, by monitoring the location of the accountant, controlling the start and end of data collection.
In particular, the technology has proven itself to calculate the intensity of traffic flows when collecting such information from urban intersections. The presented technology allows carrying out large-scale surveys of transport, passenger and pedestrian flows in cities with high efficiency at the stage of construction of forecast and optimization transport models of cities. The software interface of the mobile and server part of the presented technology allows achieving automatic interface of the collected data with the necessary format for their further use as calibration information of forecast transport models implemented in modern software products such as PTV Vision VISUM.

Author Biography

Михаил Ростиславович Якимов, Moscow Automobile and Road Construction State Technical University; Russian Transport Academy

Doctor of Technical Sciences, Professor, Department of Organization and Traffic Safety; Director of the Institute of Transport Planning of non-governmental organization “Russian Transport Academy” 

References

[1] Trofimenko Yu.V., Yakimov M.R. Transport Planning: Moulding of Efficient Transport Systems in Large Cities. Мoscow: Logos Press, 2013. 464 p. Available at: https://elibrary.ru/item.asp?id=21280424 (accessed 02.09.2018) (In Russian)
[2] Yakimov M.R. Optimal Models used to Provide Urban Transport Systems Efficiency and Safety. Transportation Research Procedia. 2017; 20:702-708. DOI: 10.1016/j.trpro.2017.01.114
[3] Burlov V., Lepеshkin O. Modeling the Process for Controlling a Road Traffic Safety System Based on Potentially Active Elements of Space and Time. Transportation Research Procedia. 2017, 20:94-99. DOI: 10.1016/j.trpro.2017.01.021
[4] Yakimov M.R. Transport Planning: Development of City Transport Model. Мoscow: Logos, 2013. 188 p. Available at: https://elibrary.ru/item.asp?id=21280412 (accessed 02.09.2018) (In Russian)
[5] Ortuzar J.D., Willumsen L.G. Modeling Transport. 3rd edition. John Wiley & Sons Ltd, 2001. 594 p.
[6] Yakimov M.R., Arepjeva А.А. Transport Planning: Specific Features of Transport Flows Planning in Large RF Cities. Мoscow: Logos, 2016. 279 p. (In Russian)
[7] Yakimov M.R., Popov Yu.A. Transport Planning: Practical Recommendations for Transport Models Elaboration in PTV Vision®VISUM environment. Мoscow: Logos, 2014. 200 p. (In Russian)
[8] Hauer E., Kononov J., Allery B., Griffith M. Screening the Road Network for Cites with Promise. Transportation Research Record. 2002; 1784(1):27-32. DOI: 10.3141/1784-04
[9] Bennecke A., Friedrich B., Friedrich M., Lohmiller J. Time-dependent Service Quality of Network Sections. Procedia - Social and Behavioral Sciences. 2011; 16:364-373. DOI: 10.1016/j.sbspro.2011.04.457
[10] Buslaev A.P., Provorov A.V., Yashina M.V. Mathematical Recognition Problems of Particle Flow Characteristics by Video Sequence Images. Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition IPCV'13. H.R. Arabnia, L. Deligiannidis, J. Lu, F.G. Tinetti, J. You (eds) Vol. I. CSREA Press, USA, 2013, pp. 622-625.
[11] Buslaev A.P., Yashina M.V., Volkov M. Algorithmic and Software Aspects of Information System Implementation for Road Maintenance Management. W. Zamojski, J. Mazurkiewicz, J. Sugier, T. Walkowiak, J. Kacprzyk (eds) Theory and Engineering of Complex Systems and Dependability. DepCoS-RELCOMEX 2015. Advances in Intelligent Systems and Computing. Vol 365. Springer, Cham, 2015, pp. 65-74. DOI: 10.1007/978-3-319-19216-1_7
Published
2018-12-10
How to Cite
ЯКИМОВ, Михаил Ростиславович. INTERNET TECHNOLOGIES FOR TRAFFIC AND PEDESTRIAN DATA COLLECTION. Modern Information Technologies and IT-Education, [S.l.], v. 14, n. 4, p. 881-887, dec. 2018. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/454>. Date accessed: 03 july 2024. doi: https://doi.org/10.25559/SITITO.14.201804.881-887.
Section
Research and development in the field of new IT and their applications