Integrated people-and-goods transportation systems: from a literature review to a general framework for future research

R Cheng, Y Jiang, OA Nielsen - Transport Reviews, 2023 - Taylor & Francis
The promotion of urban mobility by integrating people-and-goods transportation has
attracted increasing attention in recent years. Within this framework, diversified forms such …

Multi-objective home health care routing and scheduling with sharing service via a problem-specific knowledge-based artificial bee colony algorithm

YP Fu, XM Ma, KZ Gao, ZW Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, the healthcare of elderly people arouses widespread concerns since the sharp
increase of aging population puts severe stress on public medical resources. Home health …

Integrating parcel deliveries into a ride-pooling service—An agent-based simulation study

F Fehn, R Engelhardt, F Dandl, K Bogenberger… - … Research Part A: Policy …, 2023 - Elsevier
This paper examines the integration of freight delivery into the passenger transport of an on-
demand ride-pooling service. The goal of this research is to use existing passenger trips for …

[HTML][HTML] A Reliable Delivery Logistics System Based on the Collaboration of UAVs and Vehicles

H Li, S Zhu, A Tolba, Z Liu, W Wen - Sustainability, 2023 - mdpi.com
In recent years, land–air collaborative logistics delivery is a promising distribution method. It
combines the flexibility of unmanned aerial vehicles (UAVs) with the high payload capacity …

[HTML][HTML] Model predictive paradigm with low computational burden based on dandelion optimizer for autonomous vehicle considering vision system uncertainty

S Bergies, SF Su, M Elsisi - Mathematics, 2022 - mdpi.com
The uncertainty due to road fluctuations and vision system dynamics represents a big
challenge to adjusting the steering angle of autonomous vehicles (AVs). Furthermore, AVs …

Multiagent reinforcement learning for autonomous routing and pickup problem with adaptation to variable demand

D Garces, S Bhattacharya, S Gil… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We derive a learning framework to generate routing/pickup policies for a fleet of autonomous
vehicles tasked with servicing stochastically appearing requests on a city map. We focus on …

Rate-splitting multiple access-based satellite–vehicular communication system: A noncooperative game theoretical approach

S Zhang, S Zhang, W Yuan… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Rate-Splitting Multiple Access (RSMA) has recently found favor in high-mobility scenarios
due to the benefits of relaxing the accuracy of Channel State Information at the Transmitter …

[HTML][HTML] Multi-Traveler Salesman Problem for Unmanned Vehicles: Optimization through Improved Hopfield Neural Network

S Liu, X Gao, L Chen, S Zhou, Y Peng, DZ Yu, X Ma… - Sustainability, 2023 - mdpi.com
In response to the COVID-19 pandemic, communities utilize unmanned vehicles to minimize
person-to-person contact and lower the risk of infection. This paper addresses the critical …

[HTML][HTML] Containerised parcel delivery: Modelling and performance evaluation

S Eskandarzadeh, B Fahimnia - Transportation Research Part E: Logistics …, 2024 - Elsevier
This paper investigates different factors that affect the performance of containerised
transportation in parcel delivery networks. Motivated by challenges confronted by a postal …

Noncooperative and cooperative urban intelligent systems: joint logistic and charging incentive mechanisms

S Zhang, X Zhu, S Wang, JQ James… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Autonomous vehicles (AVs) have become an emerging crucial component of the intelligent
transportation system (ITS) in modern smart cities. In particular, coordinated operations of …