原文传递
Modeling and Prediction of Bus Operation States for Bunching Analysis
| 题名： | Modeling and Prediction of Bus Operation States for Bunching Analysis |
| 正文语种： | 英文 |
| 作者： | Yajuan Deng; Xin Luo; Xianbiao Hu; Yanfeng Ma; Rui Ma |
| 作者单位： | Chang'an Univ.; Missouri Univ, of Science and Technology; Univ, of Alabama in Huntsville |
| 摘要： | Bus bunching deteriorates transit service quality and passengers, experience. The modeling and prediction of bus operation states are essential for improving the quality of transit service. Due to the nature of traffic evolution and state transition, bunching-oriented modeling based on bus operation state is more intuitive when compared with the headway-based modeling approach. This work explicitly predicted bus operation state by modeling the dynamic evolution of different states. Five different bus operation states were defined and classified by the K-means algorithm, and the dynamic state evolution was formulated as a Markov chain model. Finally, a multinomial logistic model was developed to predict the bus operation state. A case study was designed to test the performance of the proposed model based on the Global Positioning System (GPS) trajectory data collected from four bus routes in Xi'an, China. The results showed that the proposed model was able to accurately predict the bus operation states. |
| 出版日期： | 2020.09 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Transportation Engineering |
| 卷： | Vol.146 |
| 期： | No.09 |
| 页码： | 04020106 |
相关文献
- Modeling bus bunching using massive location and fare collection data
- On the tradeoff between sensitivity and specificity in bus bunching prediction
- Identifying spatio-temporal patterns of bus bunchi ng in urba n networks
- Data-Driven Approach for Estimating Energy Consumption of Electric Buses under On-Road Operation Conditions
- Comprehensive Approach to Transfer Synchronization in Public Transit
- Analysis on Management Improvement in Kyoto City Bus 'So-called Life Support Lines' by Experimental Operation
检索历史
应用推荐
