2018
DOI: 10.1007/978-981-10-7986-3_101
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Linear Quadratic Optimal Control of Passenger Flow in Urban Rail Transfer Stations

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Cited by 2 publications
(2 citation statements)
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“…In terms of the design and research of the current limiting scheme, the passenger flow control of a single station aims to reasonably use the facilities and equipment nodes in the station to control the inbound passenger flow and the spatial distribution of the passenger flows in the station to match transportation capacity and transportation demand. Zhou et al [2] built a passenger flow control model based on the linear quadratic optimal control theory to minimize passenger density on a platform. Wang et al [3] used the flow entry rate quantitatively and established a collaborative passenger flow control model based on mathematical programming to minimize passenger flow delays.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In terms of the design and research of the current limiting scheme, the passenger flow control of a single station aims to reasonably use the facilities and equipment nodes in the station to control the inbound passenger flow and the spatial distribution of the passenger flows in the station to match transportation capacity and transportation demand. Zhou et al [2] built a passenger flow control model based on the linear quadratic optimal control theory to minimize passenger density on a platform. Wang et al [3] used the flow entry rate quantitatively and established a collaborative passenger flow control model based on mathematical programming to minimize passenger flow delays.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Lines of arrows of different types or colors indicate the moving routes of different types of passengers, the arrow clarifies the direction of the passenger flow, and the thickness of the line signifies the density of flowing passengers. The activity behavior of passengers in transportation hubs registers strong randomness, and computer simulation seems to be the most efficient way to provide the required information for complex stochastic problems [5]. Consequently, the research on flow line optimization by scholars across the world is generally integrated into the simulation of passenger transport hubs such as airports, urban rail transit stations and railway passenger stations.…”
Section: Introductionmentioning
confidence: 99%