PATTERNS OF URBAN TRANSPORT FLOWS GENERATION
The article is devoted to explaining the issue of exploring the patterns of formation of urban traffic flows in case of the development of urban transport systems projects. Existing methods for predicting traffic flow parameters are developed for all drivers of vehicles, regardless of their individual characteristics, and contain only travel time as a parameter. It is proposed to use the route run, travel time, traffic intensity as the possible criteria, the route runs along the main roads, the condition of the road surface, the number of traffic lights on the route, and fatigue when driving. Based on the results of a questionnaire survey of drivers of individual vehicles, the significance of the criteria for choosing a route of movement for drivers with various types of nervous systems is assessed. The most significant criterion was set up when choosing a route for travel is the “condition of the road surface”. The second most important criterion is “run along the route”. The third criterion was “travel time”. The criterion “traffic intensity” has become even less significant for drivers. The next most important criterion was “the route take place over the main roads”. Even less significant was the criterion “quantity of traffic lights on the route”. The criterion “fatigue during movement” became the least significant. To assess the consistency of expert opinions, a concordance coefficient was used. The values of the concordance coefficient showed that there is a consistency of expert opinions both for the total population of drivers and for their groups, divided on the basis of “temperament”. It was found that when choosing a travel route, drivers are guided by numerous criteria. Moreover, the advantage or disadvantage of one or another criterion depends on its individual characteristics, which are determined by the properties of the central nervous system.
Gabrielli, L., Rinzivillo, S., Ronzano, F., & Villatoro, D. (2013, September). From tweets to semantic trajectories: mining anomalous urban mobility patterns. In International Workshop on Citizen in Sensor Networks, 26-35.
Barbosa, H., Barthelemy, M., Ghoshal, G., James, C. R., Lenormand, M., Louail, T., … & Tomasini, M. (2018). Human mobility: Models and applications. Physics Reports, 734, 1-74.
Cats, O., Koutsopoulos, H. N., Burghout, W., & Toledo, T. (2011). Effect of real-time transit information on dynamic path choice of passengers. Transportation Research Record, 2217(1), 46-54.
Shvetsov, V. I. (2003) Mathematical modeling of traffic flows - M.: Institute for System Analysis of the Russian Academy of Sciences. 189.
Nielsen, O. A. (2000). A stochastic transit assignment model considering differences in passengers utility functions. Transportation Research Part B: Methodological, 34(5), 377-402.
Chu, D., Deng, Z., He, Y., Wu, C., Sun, C., & Lu, Z. (2017). Curve speed model for driver assistance based on driving style classification. IET Intelligent Transport Systems, 11(8), 501-510.
Łuczak, A., & Tarnowski, A. (2014). Validation of selected temperament and personality questionnaires for diagnosing drivers’ aptitude for safe driving. A Polish study. Accident Analysis & Prevention, 70, 293-300.
Gao, L., Juan, Z., Ni, A., & Jing, P. (2014). The Effect of Travel Information on Travelers’ Choice of Travel Modes and Routes: A Case Study of the Travel between the Campuses. Mathematical Problems in Engineering, 2014.
Zavadsky Yu. V. (1978) Planning of the experiment in the problems of automobile transpor, 156.
The authors who publish in this collection agree with the following terms:
• The authors reserve the right to authorship of their work and give the magazine the right to first publish this work under the terms of license CC BY-NC-ND 4.0 (with the Designation of Authorship - Non-Commercial - Without Derivatives 4.0 International), which allows others to freely distribute the published work with a mandatory reference to the authors of the original work and the first publication of the work in this magazine.
• Authors have the right to make independent extra-exclusive work agreements in the form in which they were published by this magazine (for example, posting work in an electronic repository of an institution or publishing as part of a monograph), provided that the link to the first publication of the work in this journal is maintained. .
• Journal policy allows and encourages the publication of manuscripts on the Internet (for example, in institutions' repositories or on personal websites), both before the publication of this manuscript and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of the citation of the published work (see The Effect of Open Access).