Bus Efficiency Evaluation Method Based on Traffic Data and AVL Data Fusion
Author:
Affiliation:
1. Autonavi Software Co., Beijing, China.
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784483053.043
Reference6 articles.
1. AutoNavi Software Co. (2019). "2019Q1 Traffic Analysis Reports for Major Cities in China." http://report.amap.com/download_city.do.
2. Bejan A. I. & Gibbens R. J. (2011). "Evaluation of velocity fields via sparse bus probe data in urban areas." In 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC) IEEE pp. 746-753.
3. Evaluation of service reliability impacts of traffic signal priority strategies for bus transit;Chang J.;Transportation Research Record,2003
4. Dynamic bus arrival time prediction with artificial neural networks;Chien S. I. J.;Journal of Transportation Engineering,2002
5. Cohen J. (1988). Statistical power analysis for the behavioral sciences. Abingdon.
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