Work

Study of the Intelligent Analysis and Prediction about Subway Passenger Flow during Large-scale Events

Year: 2013

Type: conference-paper

Abstract: Through analysis of historical data of subway transportation, use the model extracted from the law of normal and large-scale activities' passenger traffic flow and combine the pattern library established by large-scale events' attribute information, this paper describes a method that provides a way to forecast the subway traffic passenger flow when a large-scale activity will happen.Before the occurrence of large-scale activities,We analysis and forecast the in and out passenger flow for the stations ,which around the place where the large-scale activity will happen ,and the entire road network which could describe the effect of this activity to the whole network .This system able to provide passengers with a travel reference to ensure the travel speed, security and comfort, and provide an important basis for the traffic management department to realize the effective real-time scheduling .

Source: Proceedings of the 2nd International Conference On Systems Engineering and Modeling

DOI: 10.2991/icsem.2013.13

Authors: Jianchu Kang, Songsong Pang, Yan Zhang

Institution: Beihang University

Language: English

Topic: Traffic Prediction and Management Techniques

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4231553155