Author:
Ding Heng,Zhou Jing-Wen,Zheng Xiao-Yan,Bai Hai-Jian,Zhang Wei-Hua,
Abstract
The macroscopic fundamental diagram (MFD), which can describe the macroscopic state of a regional network intuitively, describes a unimodal, statistical and reproducible relationship between accumulation and the trip completion flow of a region. Existing researches have proved that using MFD characteristics can ‘metering’ the boundary flow and relieve the traffic congestion problem effectively. As the foundation of traffic control, existing studies on the characteristic of MFD have proved that external origin to destination demand does not influence the MFD distribution. However, the traffic generation and attraction sources in the regional road networkwill changes the distribution of traffic density of the road network, thus affecting the characteristic of MFD. However, to date, no related analysis explored the influence of the traffic generation and attraction sourcesin the regional road network. To solve this problem, according to the spatial and temporal distribution of traffic generation and attraction sources in the regional road network, this paper puts forward an aggregation degree index analysis model of traffic generation and attraction sources, based on the dynamic parameters of traffic generation and attraction sources, and section traffic impedance. Taking a square-format road network as the target, nine groups of schemes for different traffic generation and attraction sources are designed. Two conclusions can be drawn after comparing the MFD curve of the road network under different aggregation degree index of traffic generation and attraction sources: (1) when the traffic flow of the road network is in the state of free flow or critical flow, the aggregation effect of traffic generation and attraction sources has no effect on MFD distribution; (2) when the traffic flow of the road network is in the congestion flow state, the aggregation effect of traffic generation and attraction sources influences MFD distribution. Moreover, under the same road network flow conditions, the aggregation degree of traffic generation and attraction sources is lower in the road network (the distribution of traffic generation and attraction volume is more balanced), the trip completion flow of road network will be higher. Otherwise, the aggregation degree of traffic generation and attraction sources is higher in the road network (the distribution of traffic generation and attraction volume is more unbalanced), the trip completion flow of road network will be lower.
Publisher
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
Subject
General Physics and Astronomy
Reference34 articles.
1. Geroliminis N, Daganzo C F 2008 Transp. Res. Pt. B-Methodol. 42 759
2. Gonzales E J, Chavis C, Li Y, Daganzo C F 2009 Multimodal transport modeling for Nairobi, Kenya: Insights and recommendations with an evidencebased mode (Berkeley: UC Berkeley Center for Future Urban Transport) pp1—36
3. Haddad J 2017 Control Eng. Practice 61 134
4. Yang K D, Zheng N, Menendez M 2018 Transp. Res. Pt. C-Emerg. Technol. 94 32
5. Ding H, Zhang Y, Zheng X Y, Yuan H Y, Zhang W H 2018 IEEE Trans. Control Syst. Technol. 26 2049
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