His scientific interests lie mostly in Mathematical optimization, Simulation, Traffic flow, Genetic algorithm and Transport engineering. His study on Integer programming is often connected to Programming paradigm as part of broader study in Mathematical optimization. The study incorporates disciplines such as Nonlinear programming and Headway in addition to Integer programming.
His research in Simulation intersects with topics in Social force model, Pedestrian, Empirical research, Job shop scheduling and Cellular automaton. He interconnects Flow, Traffic generation model, Statistical physics and Diagram in the investigation of issues within Traffic flow. He works mostly in the field of Transport engineering, limiting it down to topics relating to Beijing and, in certain cases, Service quality and Operations research, as a part of the same area of interest.
Ziyou Gao mainly focuses on Mathematical optimization, Traffic flow, Simulation, Transport engineering and Control theory. His work on Integer programming as part of general Mathematical optimization research is often related to Programming paradigm, thus linking different fields of science. His Traffic flow research focuses on Traffic generation model and how it connects with Network traffic simulation, Traffic equations and Topology.
His work deals with themes such as Flow and Cellular automaton, which intersect with Simulation. His Transport engineering research incorporates themes from Order and Beijing. His study in Beijing is interdisciplinary in nature, drawing from both Urban rail transit and Operations research.
His primary areas of study are Mathematical optimization, Energy consumption, Operations research, Beijing and Traffic flow. Mathematical optimization is closely attributed to Network planning and design in his study. His study on Energy consumption also encompasses disciplines like
His work is dedicated to discovering how Beijing, Urban rail transit are connected with Artificial intelligence and Dynamic programming and other disciplines. His work carried out in the field of Traffic flow brings together such families of science as Mathematical analysis, Platoon and Mean reversion. Ziyou Gao has included themes like Flow control and Stochastic optimization in his Integer programming study.
Ziyou Gao spends much of his time researching Operations research, Mathematical optimization, Energy consumption, Beijing and Network planning and design. His Operations research research is multidisciplinary, incorporating elements of Flow control, Urban transportation, Urban transit and Integer programming. Ziyou Gao works in the field of Mathematical optimization, focusing on Scheduling in particular.
His research integrates issues of Energy conservation, Automotive engineering, Regenerative brake, Energy and Efficient energy use in his study of Energy consumption. The Beijing study combines topics in areas such as Environmental planning and Complex dynamics. His research in Network planning and design focuses on subjects like Stochastic programming, which are connected to Intelligent speed adaptation, Traffic flow, Stochastic modelling, Platoon and Instability.
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Solution algorithm for the bi-level discrete network design problem
Ziyou Gao;Jianjun Wu;Huijun Sun.
Transportation Research Part B-methodological (2005)
Traffic experiment reveals the nature of car-following.
Rui Jiang;Mao-Bin Hu;H. M. Zhang;Zi-You Gao.
PLOS ONE (2014)
A Cooperative Scheduling Model for Timetable Optimization in Subway Systems
Xin Yang;Xiang Li;Ziyou Gao;Hongwei Wang.
IEEE Transactions on Intelligent Transportation Systems (2013)
A new car-following model: full velocity and acceleration difference model
X. Zhao;Z. Gao.
European Physical Journal B (2005)
Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach
Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao.
Transportation Research Part B-methodological (2016)
Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches
Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao.
Transportation Research Part B-methodological (2017)
A continuous equilibrium network design model and algorithm for transit systems
Ziyou Gao;Huijun Sun;Lian Long Shan.
Transportation Research Part B-methodological (2004)
Logistics distribution centers location problem and algorithm under fuzzy environment
Lixing Yang;Xiaoyu Ji;Ziyou Gao;Keping Li.
Journal of Computational and Applied Mathematics (2007)
Charging station location problem of plug-in electric vehicles
Zhi-Hong Zhu;Zi-You Gao;Jian-Feng Zheng;Hao-Ming Du.
Journal of Transport Geography (2016)
Research and development of automatic train operation for railway transportation systems: A survey
Jiateng Yin;Tao Tang;Lixing Yang;Jing Xun.
Transportation Research Part C-emerging Technologies (2017)
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