Relocating Strategies under Parking Constraints for a Fleet of Shared Automated Vehicles

[1]  Thomas D. Clark,et al.  Taxi management and route control: a systems study and simulation experiment , 1992, WSC '92.

[2]  Hjp Harry Timmermans,et al.  A learning-based transportation oriented simulation system , 2004 .

[3]  Guy Cohen,et al.  Evaluation of Collective Taxi Systems by Discrete-Event Simulation , 2010, 2010 Second International Conference on Advances in System Simulation.

[4]  Kara M. Kockelman,et al.  The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios , 2014 .

[5]  Carlos Lima Azevedo,et al.  Microsimulation of Demand and Supply of Autonomous Mobility On Demand , 2016 .

[6]  Kay W. Axhausen,et al.  The Multi-Agent Transport Simulation , 2016 .

[7]  Michal Maciejewski,et al.  An Assignment-Based Approach to Efficient Real-Time City-Scale Taxi Dispatching , 2016, IEEE Intelligent Systems.

[8]  David Charypar,et al.  A Closer Look at Scoring , 2016 .

[9]  Marco Pavone,et al.  Model predictive control of autonomous mobility-on-demand systems , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[10]  Bart van Arem,et al.  Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[11]  Joseph Ying Jun Chow,et al.  Non-myopic Relocation of Idle Mobility-on-Demand Vehicles as a Dynamic Location-Allocation-Queueing Problem , 2017 .

[12]  K. Martens,et al.  A Stated-Choice Experiment on Mode Choice in an Era of Free-Floating Carsharing and Shared Autonomous Vehicles , 2017 .