Regulating mobility-on-demand services: Tri-level model and bayesian optimization solution approach

F Dandl, R Engelhardt, M Hyland, G Tilg… - … Research Part C …, 2021 - Elsevier
The goal of this paper is to develop a modeling framework that captures the inter-decision
dynamics between mobility service providers (MSPs) and travelers that can be used to …

[HTML][HTML] Exploring the potential of aggregated traffic models for estimating network-wide emissions

SFA Batista, G Tilg, M Menéndez - Transportation Research Part D …, 2022 - Elsevier
This paper explores the potential of aggregated traffic models based on the Macroscopic
Fundamental Diagram for building a network-wide monitoring system of travel emissions …

Fleetpy: A modular open-source simulation tool for mobility on-demand services

R Engelhardt, F Dandl, AA Syed, Y Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
The market share of mobility on-demand (MoD) services strongly increased in recent years
and is expected to rise even higher once vehicle automation is fully available. These …

Analytical model to estimate ride pooling traffic impacts by using the macroscopic fundamental diagram

A Bilali, U Fastenrath… - Transportation research …, 2022 - journals.sagepub.com
Ride pooling services are considered as a customer-centric mode of transportation, but, at
the same time, an environmentally friendly one, because of the expected positive impacts on …

Simulating charging processes of mobility-on-demand services at public infrastructure: Can operators complement each other?

Y Zhang, R Engelhardt, AA Syed… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Electrification of vehicles as well as mobility-on-demand (MoD) services are two important
trends these years. Hence, the supply of charging infrastructure (CI) becomes a necessity to …

Network fundamental diagram based dynamic routing in a clustered network

Y Zhang, F Rempe, F Dandl, G Tilg… - … on Models and …, 2023 - ieeexplore.ieee.org
Dynamic routing algorithms aim to find the shortest (fastest in most cases) path in a road
network prone to timedependent traffic states. Conventional approaches assume the …

[PDF][PDF] FLEETPY: AMODULAR OPEN-SOURCE SIMULATION TOOL FOR MOBILITY ON-DEMAND SERVICES

R Engelhardt, F Dandl, AA Syed, Y Zhang… - arXiv preprint arXiv …, 2022 - academia.edu
The market share of mobility on-demand (MoD) services strongly increased in recent years
and is expected to rise even higher once vehicle automation is fully available. These …

Effects of different shares of electric vehicles in cities on global CO2 emissions: A microsimulation-based analysis

M Rostami-Shahrbabaki, F Fehn… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
In the last decades, greenhouse gas emissions, especially carbon dioxide (CO 2), produced
by internal-combustion-engine (ICE) vehicles, have shown to be a major concern of our …

Threshold Analysis of Static and Dynamic Occlusion in Urban Areas: A Connected Automated Vehicle Perspective

M Pechinger, T Niels… - Transportation Research …, 2024 - journals.sagepub.com
This study comprehensively explores static and dynamic occlusion issues in urban
scenarios, focusing mainly on their interplay with the rising prevalence of connected …

Data-driven Spatio-Temporal Scaling of Travel Times for AMoD Simulations

AA Syed, Y Zhang… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
With the widespread adoption of mobility-on-demand (MoD) services and the advancements
in autonomous vehicle (AV) technology, the research interest into the AVs based MoD …