This study investigates the potential ramifications of e-commerce on shopping behaviors, travel, and residential deliveries by the year 2050. A comprehensive modeling framework …
This study presents a model to characterize changes in network traffic flows as a result of implementing connected and autonomous vehicle (CAV) technology based on traffic …
Freight transportation has major economic, energy, and sustainability impacts. As a result, forecasting tools for analyzing policy scenarios are critical. However, existing freight …
The different stakeholders involved in urban freight transport, their behaviours, and interactions are attracting the attention of researchers and practitioners in logistics and …
The e-commerce market has grown rapidly in the past two decades. The need for predicting e-commerce demand and evaluating relevant policies and solutions is increasing. However …
H Davis III, H Landes, F Namdarpour, H Yang… - … Research Part A: Policy …, 2024 - Elsevier
Increasing complexity of urban freight policies demand agent-based simulation models that can address time-of-day dynamics. However, existing state of the art tools like SimMobility …
Simulation models of transport systems are a key tool for solving many problems in the field of management of these systems. The methodologies for creating such models use datasets …
This paper presents a neural network recommender system algorithm for assigning vehicles to routes based on energy and cost criteria. In this work, we applied this new approach to …
In this paper, we present an extension of the agent-based travel demand model mobiTopp with a last-mile parcel delivery module called logiTopp, in which online shopping choice is …