Model-Predictive Control of Traffic Emissions in Port-City Environments
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47686-0_6
Reference19 articles.
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2. Caballini, C., Gracia, M., Mar-Ortiz, J., Sacone, S.: A combined data mining-optimization approach to manage trucks operations in container terminals with the use of a TAS: application to an Italian and a Mexican port. Transp. Res. Part E Logistics Transp. Rev. 142, 102054 (2020)
3. Cervellera, C., Gaggero, M., Macció, D.: A receding horizon approach for berth allocation based on random search optimization. In: Advances in Optimization and Decision Science for Society, Services and Enterprises, pp. 1–12. Springer, Berlin (2019)
4. Cervellera, C., Macciò, D., Parisini, T.: Learning robustly stabilizing explicit model predictive controllers: a non-regular sampling approach. IEEE Control Syst. Lett. 4(3), 737–742 (2020)
5. Cervellera, C., Macciò, D., Rebora, F.: Copula-based scenario generation for urban traffic models. Expert Syst. Appl. 210, 118389 (2022)
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