|
|
|
|
|
Kai Gutenschwager, Markus Rabe and Jorge Chicaiza-Vaca
Fast growing e-commerce has a significant impact both on CEP providers and public entities. While service providers have the first priority on factors such as costs and reliable service, both are increasingly focused on environmental effects, in the inte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raj Bridgelall
The relentless expansion of urban populations and the surge in e-commerce have increased the demand for rapid delivery services, leading to an increase in truck traffic that contributes to urban congestion, environmental pollution, and economic inefficie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ying-Ying Weng, Rong-Yu Wu and Yu-Jun Zheng
In the traditional express delivery sector, trucks are the most available and efficient transportation mode in urban areas. However, due to the pressures of traffic congestion and air pollution problems, many cities have implemented strict measures to re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angie Ramirez-Villamil, Jairo R. Montoya-Torres and Anicia Jaegler
Studies that use rivers in a last-mile delivery context are scarce. This research considers the first multimodal alternative based on a barge for parcel delivery activities. It proposes two sustainable network designs for a two-echelon distribution. The ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Arinc Tutku Altun, Mehmet Hasanzade, Emre Saldiran, Guney Guner, Mevlut Uzun, Rodolphe Fremond, Yiwen Tang, Prithiviraj Bhundoo, Yu Su, Yan Xu, Gokhan Inalhan, Michael W. Hardt, Alejandro Fransoy, Ajay Modha, Jose Antonio Tena, Cesar Nieto, Miguel Vilaplana, Marta Tojal, Victor Gordo, Pablo Menendez and Ana GonzalezaddShow full author listremoveHide full author list
The emerging field of Advanced Air Mobility (AAM) holds great promise for revolutionizing transportation by enabling the efficient, safe, and sustainable movement of people and goods in urban and regional environments. AAM encompasses a wide range of ele...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingpeng Meng, Xudong Wang, Jie Jin and Chuanfeng Han
In the context of economic globalization and the development of information networks, container liner transportation plays a crucial role in international trade. However, the inherent inflexibility of fixed schedules in liner operations poses challenges ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Larisa Makhova, Mark Haykin, Irina Glazkova and Olga Domnina
International trade allows countries to expand their markets and access goods and services that otherwise may not have been domestically available. As a result of international trade, the market is more competitive. This ultimately results in more compet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrey Kolpakov, Oleg Dolgov, Vladislav Korolskiy, Semen Popov, Vyacheslav Anchutin and Vadim Zykov
The results are presented from a study of three-layer geodesic dome structures with bar fillers under their own weight. An algorithm was developed for selecting the type of structural layout used and the reference parameters chosen in terms of the techno...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marat Eseev and Dmitry Makarov
Usually, loading and unloading of cargo ships takes place in ports that are equipped with the infrastructure necessary to carry out such operations. In the Arctic, often a helicopter is the only way to get the cargo to the right place. Finding the optima...
ver más
|
|
|
|
|
|