Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating the impact of spatio-temporal demand forecast aggregation on the operational performance of shared autonomous mobility fleets
Authors
Keywords
-
Journal
TRANSPORTATION
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-05-06
DOI
10.1007/s11116-019-10007-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Fleet operational policies for automated mobility: A simulation assessment for Zurich
- (2019) S. Hörl et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests
- (2018) Michael Hyland et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Comparing Future Autonomous Electric Taxis With an Existing Free-Floating Carsharing System
- (2018) Florian Dandl et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Addressing the minimum fleet problem in on-demand urban mobility
- (2018) M. M. Vazifeh et al. NATURE
- On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
- (2017) Javier Alonso-Mora et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Non-myopic relocation of idle mobility-on-demand vehicles as a dynamic location-allocation-queueing problem
- (2017) Hamid R. Sayarshad et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility
- (2017) Michael F. Hyland et al. TRANSPORTATION RESEARCH RECORD
- Mapping Social Media for Transportation Studies
- (2016) Emmanouil Chaniotakis et al. IEEE INTELLIGENT SYSTEMS
- An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching
- (2016) Michal Maciejewski et al. IEEE INTELLIGENT SYSTEMS
- Survey and empirical evaluation of nonhomogeneous arrival process models with taxi data
- (2016) Hamid R. Sayarshad et al. JOURNAL OF ADVANCED TRANSPORTATION
- Preferences for shared autonomous vehicles
- (2016) Rico Krueger et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Autonomous Vehicle Fleet Sizes Required to Serve Different Levels of Demand
- (2016) Patrick M. Boesch et al. TRANSPORTATION RESEARCH RECORD
- Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data
- (2016) Chen Zhong et al. PLoS One
- A practice-ready relocation model for free-floating carsharing systems with electric vehicles – Mesoscopic approach and field trial results
- (2015) Simone Weikl et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market
- (2015) Daniel J. Fagnant et al. TRANSPORTATION RESEARCH RECORD
- The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
- (2014) Daniel J. Fagnant et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Driverless Alternative
- (2014) Chris Brownell et al. TRANSPORTATION RESEARCH RECORD
- Predicting Taxi–Passenger Demand Using Streaming Data
- (2013) Luis Moreira-Matias et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Robotic load balancing for mobility-on-demand systems
- (2012) Marco Pavone et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now