Sequential Framework for Short-Term Passenger Flow Prediction at Bus Stop
Author:
Affiliation:
1. IBM China Research Laboratory, 6/F, Building 10. Zhangjiang Hi-Teck Park, Shanghai 201203, China.
2. IBM China Research Laboratory, 2/F, Building 1 9, Zhongguancun Software Park. Beijing 100094, China.
Publisher
SAGE Publications
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
http://journals.sagepub.com/doi/pdf/10.3141/2417-07
Reference13 articles.
1. Dynamic prediction of traffic volume through Kalman filtering theory
2. A headway-based approach to eliminate bus bunching: Systematic analysis and comparisons
3. Transit vehicles’ headway distribution and service irregularity
4. Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
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