Urban Traffic Flow Prediction System Using a Multifactor Pattern Recognition Model


Current urban hold up costs are increasing on account of the population growth of cities and increasing numbers of vehicles. Several cities are adopting intelligent transportation systems (ITSs) to boost traffic efficiency. ITSs will be used for monitoring tie up using detectors, such as calculating an estimated time of arrival or suggesting a detour route. In this paper, we propose an urban traffic flow prediction system employing a multifactor pattern recognition model, which combines Gaussian mixture model clustering with an artificial neural network. This method forecasts traffic flow by combining road geographical factors and environmental factors with traffic flow properties from ITS detectors. Experimental results demonstrate that the proposed model produces more reliable predictions compared with existing ways.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Spatio-Temporal Meta Learning for Urban Traffic Prediction ABSTRACT: It is very difficult to predict urban traffic because of three factors: 1) the complex spatio-temporal correlations of urban traffic, which include
PROJECT TITLE : Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective ABSTRACT: Due to the rapid pace of urbanization, car accidents have evolved into a significant threat to both health and development.
PROJECT TITLE : W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks ABSTRACT: The infrastructure-based communication system that is currently in place is susceptible
PROJECT TITLE : MM-UrbanFAC Urban Functional Area Classification Model Based on Multimodal Machine Learning ABSTRACT: The majority of the classification methods that are currently used for urban functional areas are only based
PROJECT TITLE : Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs ABSTRACT: The ability to predict the speed of traffic is one of the fundamentals of advanced traffic management, and the gradual deployment

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry