A flexible traffic stream model and its three representations of traffic flow
A flexible traffic stream model and its three representations of traffic flow
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灵活的交通流模型及其三种交通流表示
DOI:
10.1016/j.trc.2016.12.006
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发表时间:
2017-02
期刊:
影响因子:
--
通讯作者:
He Tian
中科院分区:
文献类型:
--
作者:
Zheng Liang;He Zhengbing;He Tian
To connect microscopic driving behaviors with the macro-correspondence (i.e., the fundamental diagram), this study proposes a flexible traffic stream model, which is derived from a novel car-following model under steady-state conditions. Its four driving behavior-related parameters, i.e., reaction time, calmness parameter, speed- and spacing-related sensitivities, have an apparent effect in shaping the fundamental diagram. Its boundary conditions and homogenous case are also analyzed in detail and compared with other two models (i.e., Longitudinal Control Model and Intelligent Driver Model). Especially, these model formulations and properties under Lagrangian coordinates provide a new perspective to revisit the traffic flow and complement with those under Eulerian coordinate. One calibration methodology that incorporates the monkey algorithm with dynamic adaptation is employed to calibrate this model, based on real-field data from a wide range of locations. Results show that this model exhibits the well flexibility to fit these traffic data and performs better than other nine models. Finally, a concrete example of transportation application is designed, in which the impact of three critical parameters on vehicle trajectories and shock waves with three representations (i.e., respectively defined inx-t,n-tandx-ncoordinates) is tested, and macro- and micro-solutions on shock waves well agree with each other. In summary, this traffic stream model with the advantages of flexibility and efficiency has the good potential in level of service analysis and transportation planning.
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DOI:
10.1007/978-0-387-49319-0
发表时间:
1941
期刊:
--
影响因子:
--
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DOI:
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影响因子:
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DOI:
10.1016/j.physa.2005.12.036
发表时间:
2006-08
影响因子:
3.3
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影响因子:
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