Abstract
As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using MFD is easily affected by various network inner factors including topology and road density, so in this paper we propose a method to identify inner characteristic of road network and do a series of comparisons under different scenarios with fixed traffic input circumstance. The differential impact of data collector setting locations are discussed with a aim to reveal the respective location setting suitable for various networks conditions in initial; then road topology and density are designed in road network and simulated MFD performances with flow equilibrium affections. It is shown as the dispersion decreasing of link length or road density of network, the network exhibits better operation efficiency so as to increase the output of link flow and the dissipative ability of the road network. Meanwhile, the equivalent of entrances and exits is proved as another important factor has same impact on MFD.
Highlights
In metropolis, traffic jam and motor vehicle’s pollution have become critical problems even threaten people’s daily life
The prototype of the macroscopic fundamental diagram (MFD) was first proposed by Ardekani and Herman[3] according to actual data collection and found that the average flow speed is related to vehicle accumulation through a linear relationship, the maximum observed accumulation only reach to 30 vehicles/Miles
This paper discusses influential factors impact on the performance of macroscopic fundamental diagram (MFD) according to a series of simulated scenarios on the basis of comparisons on dispersion of hysteresis phenomena and values of average flow and average occupancy
Summary
Traffic jam and motor vehicle’s pollution have become critical problems even threaten people’s daily life. Traffic control is viewed as one of effective ways to resolve these problems. The current urban traffic management mainly depends on the data collection from road scale and makes a decision in terms of microscopic traffic control principle which often lead to congestion transfer. Considering from network integration control, macroscopic fundamental diagram (MFD)[1,2] is well used and already proved to be an effective way to describe the network operation status from macroscopic perspective and can identify the inner relationship among elements which constitute of urban road network
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