A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models

J Li, E Rombaut, L Vanhaverbeke - Computers, Environment and Urban …, 2021 - Elsevier
This paper provides a systematic review of studies that model future autonomous vehicles
(AVs) in urban mobility and logistics using an agent-based model (ABM). Eighty relevant …

[HTML][HTML] Estimating last-mile deliveries and shopping travel emissions by 2050

M Jaller, RI Xiao, S Dennis-Bauer… - … Research Part D …, 2023 - Elsevier
This study investigates the potential ramifications of e-commerce on shopping behaviors,
travel, and residential deliveries by the year 2050. A comprehensive modeling framework …

A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

AB Parsa, R Shabanpour, A Mohammadian… - Transportation …, 2021 - Taylor & Francis
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 …

Introducing CRISTAL: A model of collaborative, informed, strategic trade agents with logistics

M Stinson, AK Mohammadian - Transportation Research Interdisciplinary …, 2022 - Elsevier
Freight transportation has major economic, energy, and sustainability impacts. As a result,
forecasting tools for analyzing policy scenarios are critical. However, existing freight …

Microsimulation-based collaboration model for urban freight transport

CG Gómez-Marín, CA Serna-Urán… - IEEE …, 2020 - ieeexplore.ieee.org
The different stakeholders involved in urban freight transport, their behaviours, and
interactions are attracting the attention of researchers and practitioners in logistics and …

Household-based E-commerce demand modeling for an agent-based urban transportation simulation platform

T Sakai, Y Hara, R Seshadri, AR Alho… - Transportation …, 2022 - Taylor & Francis
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 …

Aggregate urban truck tour synthesis from public data

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 …

Simulating a macrosystem of cargo deliveries by road transport based on big data volumes: a case study of Poland

V Naumov, A Szarata, H Vasiutina - Energies, 2022 - mdpi.com
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 …

A real-time energy and cost efficient vehicle route assignment neural recommender system

A Moawad, Z Li, I Pancorbo, KM Gurumurthy… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

[HTML][HTML] Agent-based model of last-mile parcel deliveries and travel demand incorporating online shopping behavior

AS Reiffer, J Kübler, M Kagerbauer… - Research in Transportation …, 2023 - Elsevier
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 …