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Two-echelon distribution systems are attractive from an economical standpoint and help to keep large vehicles out of city centers. Large trucks can be used to deliver goods to intermediate facilities in accessible locations, whereas smaller…

Data Structures and Algorithms · Computer Science 2018-11-16 Ulrich Breunig , Roberto Baldacci , Richard F. Hartl , Thibaut Vidal

Drones are currently seen as a viable way for improving the distribution of parcels in urban and rural environments, while working in coordination with traditional vehicles like trucks. In this paper we consider the parallel drone…

Optimization and Control · Mathematics 2023-07-07 Roberto Montemanni , Mauro Dell'Amico

In the current intensively changing technological environment, wireless network operators try to manage the increase of global traffic, optimizing the use of the available resources. This involves associating each user to one of its…

Networking and Internet Architecture · Computer Science 2013-04-23 Vladimir Fux , Patrick Maillé , Jean-Marie Bonnin , Nassim Kaci

We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level. In our model, commuters selfishly aim to minimize a local cost that combines travel time, from a fixed origin to a desired…

Optimization and Control · Mathematics 2023-04-25 Panagiotis D. Grontas , Carlo Cenedese , Marta Fochesato , Giuseppe Belgioioso , John Lygeros , Florian Dörfler

Logistics has gained great attentions with the prosperous development of commerce, which is often seen as the classic optimal vehicle routing problem. Meanwhile, electric vehicle (EV) has been widely used in logistic fleet to curb the…

Optimization and Control · Mathematics 2021-09-14 Canqi Yao , Shibo Chen , Zaiyue Yang

This paper presents an integrated algorithmic framework for minimising product delivery costs in e-commerce (known as the cost-to-serve or C2S). One of the major challenges in e-commerce is the large volume of spatio-temporally diverse…

Artificial Intelligence · Computer Science 2023-11-29 Omkar Shelke , Pranavi Pathakota , Anandsingh Chauhan , Harshad Khadilkar , Hardik Meisheri , Balaraman Ravindran

This paper proposes a bi-level optimization framework to coordinate Automated Guided Vehicle (AGV) flexible operations in smart independent warehouses, addressing the critical challenge of balancing high-throughput order fulfillment with…

Optimization and Control · Mathematics 2026-04-20 Xiaozhu Sun , Bilal Farooq

This paper addresses an Electric Vehicle Relocation Problem (E-VReP), in one-way carsharing systems, based on operators who move through folding bicycles between a delivery request and one of pickup. In order to deal with its economical…

Optimization and Control · Mathematics 2015-04-10 Maurizio Bruglieri , Ferdinando Pezzella , Ornella Pisacane

Within a decade, almost every major auto company, along with fleet operators such as Uber, have announced plans to put autonomous vehicles on the road. At the same time, electric vehicles are quickly emerging as a next-generation technology…

Artificial Intelligence · Computer Science 2018-12-13 Lina Al-Kanj , Juliana Nascimento , Warren B. Powell

The integration of electric vehicles (EVs) with the energy grid has become an important area of research due to the increasing EV penetration in today's transportation systems. Under appropriate management of EV charging and discharging,…

Optimization and Control · Mathematics 2021-07-21 Bo Lin , Bissan Ghaddar , Jatin Nathwani

Truck platooning is a promising technology that enables trucks to travel in formations with small inter-vehicle distances for improved aerodynamics and fuel economy. The real-world transportation system includes a vast number of trucks…

Systems and Control · Electrical Eng. & Systems 2023-07-25 Ting Bai , Alexander Johansson , Karl Henrik Johansson , Jonas Mårtensson

A large portion of passenger requests is reportedly unserviced, partially due to vacant for-hire drivers' cruising behavior during the passenger seeking process. This paper aims to model the multi-driver repositioning task through a mean…

Machine Learning · Computer Science 2020-08-25 Zhenyu Shou , Xuan Di

With the growing penetration of electric trucks, freight transportation is transitioning toward a mixed system comprising both fuel-powered and electric trucks. Enhancing truck platoon formation in such a heterogeneous environment presents…

Optimization and Control · Mathematics 2025-07-22 Ying Wang , Ting Bai , Andreas A. Malikopoulos

This paper investigates the fee scheduling problem of electric vehicles (EVs) at the micro-grid scale. This problem contains a set of charging stations controlled by a central aggregator. One of the main stakeholders is the operator of the…

Optimization and Control · Mathematics 2018-07-25 Hwei-Ming Chung , Wen-Tai Li , Chau Yuen , Chao-Kai Wen , Noel Crespi

We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates…

Optimization and Control · Mathematics 2017-06-13 Teobaldo Bulhões , Minh Hoàng Hà , Rafael Martinelli , Thibaut Vidal

To coordinate resources among multi-level stakeholders and enhance the integration of electric vehicles (EVs) into multi-microgrids, this study proposes an optimal dispatch strategy within a multi-microgrid cooperative alliance using a…

Systems and Control · Electrical Eng. & Systems 2025-04-08 Yonghui Nie , Zhi Li , Jie Zhang , Lei Gao , Yang Li , Hengyu Zhou

The rise of battery-powered vehicles has led to many new technical and methodological hurdles. Among these, the efficient planning of an electric fleet to fulfill passenger transportation requests still represents a major challenge. This is…

Optimization and Control · Mathematics 2023-02-07 Axel Parmentier , Rafael Martinelli , Thibaut Vidal

Traffic congestion has large economic and social costs. The introduction of autonomous vehicles can potentially reduce this congestion by increasing road capacity via vehicle platooning and by creating an avenue for influencing people's…

Multiagent Systems · Computer Science 2021-06-10 Erdem Bıyık , Daniel A. Lazar , Ramtin Pedarsani , Dorsa Sadigh

Electric vehicle (EV) fleets are expected to become an increasingly important source of flexibility for power system operations. However, accurately capturing the flexibility potential of numerous and heterogeneous EVs remains a significant…

Optimization and Control · Mathematics 2025-10-13 Philipp Härtel , Michael von Bonin

The number of electric vehicles is rapidly increasing worldwide. This growth brings significant environmental benefits but also introduces new challenges: uncoordinated charging can place stress on the grid, particularly during peak hours.…

Optimization and Control · Mathematics 2026-03-24 Mozhdeh Hematiboroujeni , Pierre Le Bodic , Adel N. Toosi , Markus Wagner