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A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays

机译：最新的建模框架，可通过更改城市物流装卸区的配置/执行来改善交通拥堵

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Alho André; Silva João de Abreu e; Sousa Jorge Pinho de;
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1. A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays [J] . André Alho, Jo?o de Abreu e Silva, Jorge Pinho de Sousa Procedia - Social and Behavioral Sciences . 2014,第2期

机译：最新的建模框架，可通过更改城市物流装卸区的配置/执行来改善交通拥堵
2. Corrigendum to A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays [J] . A. Alho, J. de Abreu e Silva, J. Pinho de Sousa Procedia - Social and Behavioral Sciences . 2014,第2期

机译：通过更改城市物流装卸区的配置/执行情况来改善交通拥堵的最新建模框架的勘误
3. Improving mobility by optimizing the number, location and usage of loading/unloading bays for urban freight vehicles [J] . Alho Andre Romano, de Abreu e Silva Joao, de Sousa Jorge Pinho, Transportation Research . 2018,第PTaA期

机译：通过优化城市货运车辆的装卸港的数量，位置和使用来提高机动性
4. Urban Freight Transport in Shanghai: The Demand for a Commercial Loading/Unloading Bay [C] . Neng Ma, Xiaofa Shi, Tianchang Zhang Coat international conference of transportation professionals . 2015

机译：上海城市货运：对商业装卸湾的需求
5. Bayesian Inference for the Logistic Change Point Model Using Reweighted Parametric Bootstrap Samples [D] . ?Sims, Kayla Ann 2020

机译：贝叶斯推动Logistic Change Point模型使用重新传递的参数自举样品
6. Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree Logistic Regression Naïve Bayes Tree Artificial Neural Network and Support Vector Machine Algorithms [O] . Viet-Ha Nhu, Ataollah Shirzadi, Himan Shahabi, 2020

机译：浅层滑坡敏感性图：逻辑模型树逻辑回归朴素贝叶斯树人工神经网络和支持向量机算法之间的比较
7. Corrigendum to A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays Procedia - Social and Behavioral Sciences (2014), Volume 111, 5 February 2014, Pages 360–369. DOI: 10.1016/j.sbspro.2014.01.069 [O] . Alho A., de Abreu e Silva J., Pinho de Sousa J. 2014

机译：关于通过更改城市物流装卸海湾的配置/执行来改善交通拥堵的最新建模框架的勘误《社会科学与行为科学》（2014年）第111卷，2014年2月5日，第360-369页。 DOI：10.1016 / j.sbspro.2014.01.069
8. Unified Mixed Logit Framework for Modeling Revealed and Stated Preferences: Formulation and Application to Congestion Pricing Analysis in the San Francisco Bay Area [R] . Bhat, C. R. , Castelar, S. 2003

机译：用于建模的统一混合Logit框架显示和陈述的偏好：旧金山湾区拥挤定价分析的制定和应用

A State-of-the-Art Modeling Framework to Improve Congestion by Changing the Configuration/Enforcement of Urban Logistics Loading/Unloading Bays

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