Headway-based bus bunching prediction using transit smart card data
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- 作者：Haiyang Yu hyyu@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Dongwei Chen chendongwei@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhihai Wu zy1513318@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Xiaolei Ma ; xiaolei@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yunpeng Wang ypwang@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Bus bunching prediction ; Headway irregularity ; Least squares support vector machine ; Transit smart card
- 刊名：Transportation Research Part C: Emerging Technologies
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：72
- 期：Complete
- 页码：45-59
- 全文大小：1333 K
文摘
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The stop-level headway irregularity based on transit smart card data is captured.
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LS-SVM regression is established to detect bus bunching.
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More than 95% bus bunching occurrences can be successfully identified.
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The accuracy does not significantly decay as the prediction lead time increases.