Open AccessIntelligent Passenger-Flow-Control Scheme at Subway Stations in Smart City
Author(s) -
Yuan Zhang,
Congduan Li,
Jinyang Zhang,
Zhang Yiqian
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1621/1/012071
Subject(s) - beijing , scheme (mathematics) , urbanization , control (management) , traffic congestion , transport engineering , flow control (data) , computer science , smart city , flow (mathematics) , engineering , computer network , computer security , internet of things , geography , artificial intelligence , mathematical analysis , geometry , mathematics , archaeology , economic growth , china , economics
With the rapid development of urbanization, more and more cities have built the subway systems. However, the super cities like Beijing, Shanghai and Guangzhou, have experienced problems such as overloading and insufficient capacity, especially during peak hours, due to the tremendous increase of passengers. A scientific and efficient optimization scheme is important to alleviate the passenger flow congestion problem and improve the transportation efficiency. This paper investigates the passenger-flow-control problem, aiming to shorten the average waiting time for passengers. An intelligent flow-control scheme is proposed to optimally alleviate the congestion problem in the subway system. Experiments show that the proposed flow-control scheme works well in alleviating the congestion and passengers’ waiting time at subway stations.