Significance of Fundamental Diagrams to First-Order Macroscopic Traffic Modelling
نویسندگان
چکیده
Macroscopic models are computationally effective and generate reliable estimates of traffic dynamics based upon the principles of flow conservation and propagation, in which the underlying fundamental diagram (i.e. flow-density relationship) has an important part in capturing the plausible traffic propagation over time and space. This study investigates in practice whether, and in what extent, the calibration of the fundamental diagram affects the performance of macroscopic traffic modelling by using motorway data. For study purposes, a modified version of the first-order Cell Transmission Model (CTM) is adopted in order to allow the use of different fundamental diagrams instead of the traditional triangular one. Traffic data from the MIDAS (Motorway Incident Detection and Automatic Signalling) dataset for M25 motorway in the UK are used for the case studies. The findings of this study demonstrate the significance of selecting the best-suited fundamental diagram to each traffic scenario in order to improve the accuracy of traffic modelling and contribute to the performance analysis and management of motorways.
منابع مشابه
Constructing set-valued fundamental diagrams from Jamiton solutions in second order traffic models
Fundamental diagrams of vehicular traffic flow are generally multivalued in the congested flow regime. We show that such set-valued fundamental diagrams can be constructed systematically from simple second order macroscopic traffic models, such as the classical Payne-Whitham model or the inhomogeneous Aw-Rascle-Zhang model. These second order models possess nonlinear traveling wave solutions, c...
متن کاملAdaptive Online Traffic Flow Prediction Using Aggregated Neuro Fuzzy Approach
Short term prediction of traffic flow is one of the most essential elements of all proactive traffic control systems. Although various methodologies have been applied to forecast traffic parameters, several researchers have showed that compared with the individual methods, hybrid methods provide more accurate results . These results made the hybrid tools and approaches a more common method for ...
متن کاملAn algebraic approach for modeling and simulation of road traffic networks
We present in this article an algebraic approach to model and simulate road traffic networks. By defining a set of road traffic systems and adequate concatenating operators in that set, we show that large regular road networks can be easily modeled and simulated. We define elementary road traffic systems which we then connect to each other and obtain larger systems. For the traffic modeling, we...
متن کاملOptimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملDerivation of a Fundamental Diagram for Urban Traffic Flow
Despite the importance of urban traffic flows, there are only a few theoretical approaches to determine fundamental relationships between macroscopic traffic variables such as the traffic density, the utilization, the average velocity, and the travel time. In the past, empirical measurements have primarily been described by fit functions. Here, we derive expected fundamental relationships from ...
متن کامل