Jun Liu
Beijing Jiaotong University
47 Papers
126 Citations
Jun Liu is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Urban rail transit & Computer science. The author has an hindex of 9, co-authored 47 publications. Previous affiliations of Jun Liu include Chinese Ministry of Education & Southwest Jiaotong University.
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Papers
Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study
TL;DR: A unified simulation-based algorithm is developed to solve the problem of passenger flow organization in subway stations under uncertain demand and data envelopment analysis (DEA) and genetic algorithms (GA) are embedded in this algorithm to increase computing speed.
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Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study
TL;DR: A new multi-station coordinated passenger flow control model is proposed to simultaneously adjust the number of inbound and transfer passengers entering multiple stations or lines during peak hours, considering passenger flow evolution, dynamic path cost, and route choice.
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Cache-Enabled Device to Device Networks With Contention-Based Multimedia Delivery
TL;DR: This paper studies the performance of large-scale cache-enabled device-to-device (D2D) networks with homogeneous Poisson point process distributed mobile helpers and user equipments and investigates the optimal probabilistic caching strategy of MHs.
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Freeway path travel time prediction based on heterogeneous traffic data through nonparametric model
TL;DR: An integrated model for path and multi-step-ahead travel time prediction on freeways using both historical and real-time heterogeneous traffic and weather data is proposed.
26
Energy-efficient speed profile optimization for medium-speed maglev trains
TL;DR: In this article, the authors addressed the problem of reducing the energy consumption of the medium-speed maglev (MSM) system by optimizing the train speed profile, considering auxiliary stopping areas, the nonlinear resistance caused by the linear motor, and the suspension energy consumption.
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