Modelling and Simulation of Traffic Dynamics in Almaty City

This work examines concerns associated with traffic analysis applicable within a given region of Almaty City employing real data and modelling approaches. In light of analyzing traffic congestion and accidents, the study unveils the following caveats and research limitations: In order to overcome the above challenges, the study proposes the following ways: The study also has the following achievements: The solution suggested to address the problem is adopting an Adaptive Transport Control System to improve traffic management. By employing simulation models and real data the study aims to enhance traffic flow and the transport system in the Almaty City. The research utilizes SUMO an open-source traffic simulation software to perform simulation settings with consideration of parameters like signal lights, separation of lanes, and probability for appearance of vehicles. Also, in this study, parameters of BPR function are calibrated to improve the modeling of traffic flow in order to support the application of efficient traffic control measures. The analysis shows that even minor changes to the BPR parameters can lead to a dramatic increase in the model's accuracy, which will be useful for understanding the planning of cities. Subsequent work is to conduct studies on these models across diverse datasets and road types, as well as incorporating real-time data to the models, and covering more extensive facets relating to the traffic flow model so as to provide paramount support in enhancing the efficiency of urban transportation systems.