Open AccessMODELING TRANSPORT FLOWS UNDER CONDITIONS OF A LOADED STREET-ROAD NETWORK
Author(s) -
Ol'ga Lebedeva
Publication year - 2020
Publication title -
sovremennye tehnologii i naučno-tehničeskij progress
Language(s) - English
Resource type - Journals
ISSN - 2686-9896
DOI - 10.36629/2686-9896-2020-1-165-165
Subject(s) - queue , calibration , computer science , traffic flow (computer networking) , mesoscopic physics , transport engineering , traffic congestion , traffic congestion reconstruction with kerner's three phase theory , queueing theory , travel time , simulation , selection (genetic algorithm) , traffic wave , traffic simulation , traffic network , detector , real time computing , computer network , microsimulation , engineering , telecommunications , artificial intelligence , mathematics , statistics , physics , quantum mechanics
Managing urban networks during traffic congestion requires the use of a dynamic model that allows you to simulate real situations with traffic flows with long queues and responses. To conduct experimental research in this area, it is possible to use a mesoscopic system for simulating traffic with calibration and taking into account the characteristics of the road. All supply and demand parameters (use of detectors, travel time) must be calibrated at the same time. In this study, calibration was performed using the route selection model, given overlapping routes