Evolving Prediction Models with Genetic Algorithm to Forecast Vehicle Volume in a Service Station (Best Application Paper)

Author:

Khargharia Himadri Sikhar,Shakya Siddhartha,Ainslie Russell,Owusu Gilbert

Publisher

Springer International Publishing

Reference32 articles.

1. Balwani, S.S.V.: Operational efficiency through resource planning optimization and work process improvement. Ph.D. dissertation, Massachusetts Institute of Technology (2012)

2. Madanhire, I., Mbohwa, C.: Enterprise resource planning (ERP) in improving operational efficiency: case study. Proc. CIRP 40, 225–229 (2016)

3. Khargharia, H.S., Shakya, S., Ainslie, R., AlShizawi, S., Owusu, G.: Predicting demand in IoT enabled service stations. In: 2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), pp. 81–87. IEEE (2019)

4. Ashraf, A., Baldwin, D.: Vehicle detection system, 17 April 2012. US Patent 8,157,219

5. Schmidt, C., Bauer, S.: Parking control device, 20 June 2013. US Patent App. 13/723,016

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Probabilistic analysis of context caching in Internet of Things applications;2022 IEEE International Conference on Services Computing (SCC);2022-07

2. On Predicting the Work Load for Service Contractors;Artificial Intelligence XXXIX;2022

3. Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations;Lecture Notes in Computer Science;2021

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