Aleksandr Chubukov’s research while affiliated with Moscow Automobile and Road Construction State Technical University and other places

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Publications (1)


Fig. 1. Approximation of an intensity function of time. During intersection departing, the traffic flow is determined by duration p and average intensity ' q . In such case:
Results of calculating the delay duration at the second intersection in the forward directionat various cycle shifts.
Results of calculating the delay duration at the first intersection in the opposite direction at various cycle shifts.
Methods for traffic management efficiency improvement in cities
  • Article
  • Full-text available

January 2018

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208 Reads

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21 Citations

Transportation Research Procedia

Valeriy Kapitanov

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Valentin Silyanov

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Olga Monina

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Aleksandr Chubukov

A methodology for traffic management in cities provides for extensive use of computer technologies. Modern international experience shows that traffic management in the urban street and road network, first of all, requires a city-wide management system (intelligent transportation system, ITS). Development of a social process model is a complicated task that can be solved under rather severe restrictions. Therefore, most traffic management tasks are not formalized but solved empirically. Two basic approaches to development of network mathematical models of traffic flows, based on a set of analytical models and on microlevel simulation models, are considered by the authors. Capabilities of various software tools that allow performing modeling are reviewed. As a result, a method for forecasting network control actions affecting traffic flows, based on a piecewise-constant approximation of a traffic flow intensity function of time, is suggested. An example of forecasting control actions (cycle shifts) to ensure coordinated control on highways is given. The suggested approach to modeling of traffic flows in cities is rather simple and efficient. Therefore, it can be of practical interest and can be used when forecasting network control actions in intelligent transportation systems, including in real time and for congested sections of the street-and-road network.

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Citations (1)


... In recent years, researchers have been paying particular focus to the difficulties of road transportation and traffic congestion, especially due to the rapid development of cities and road networks (Olayode et al., 2020). Recently, advanced techniques for managing and controlling traffic have demonstrated their effectiveness in enhancing the efficiency of urban transportation and mitigating traffic congestion (Kapitanov et al., 2018). Intelligent transportation systems (ITS) use computers, big data, 5 G technology, and information systems to establish a unified transportation system that is secure, effective, and energy efficient. ...

Reference:

Impact Of Traffic Congestion on Transportation System: Challenges and Remediations - A review
Methods for traffic management efficiency improvement in cities

Transportation Research Procedia