Any errors and views expressed in this study solely belong to the authors.
The data shared by DCAS is gratefully acknowledged. Stephanie Tam is an undergraduate member of the Vertically Integrated Projects (VIP) “Clean Fleets” team at NYU ( ) that is working with NYC DCAS to develop the web-based equilibrium model. This research was supported by the C2SMART University Transportation Center. T1 - An electric vehicle charging station access equilibrium model with M/D/C queueing Results suggest a policy based on selecting locations with high utilization ratio instead of with high queue delay.", The model is then applied to compare charging station investment policies of DCFCs to Level 2 charging stations based on two alternative criteria. The arrival rates of the assignment model are calibrated in the base scenario to fit an observed average utilization ratio of 7.6% in NYC. Third, the model is applied to the large-scale case study of New York City Department of Citywide Administrative Services (NYC DCAS) fleet and EV charging station configuration as of July 8, 2020, which includes unique, real data for 563 Level 2 chargers and 4 Direct Current Fast Chargers (DCFCs) and 1484 EVs distributed over 512 Traffic Analysis Zones.
Charging equil note code#
A working code in Python is provided free on Github with detailed test cases. Computational tests with a toy network show that the model converges to a UE. Second, to address the non-differentiability of the queue delay function, we propose an original solution algorithm based on the derivative-free Method of Successive Averages. First, we propose an EV-to-charging station user equilibrium (UE) assignment model with a M/D/C queue approximation as a nondifferentiable nonlinear program. Results suggest a policy based on selecting locations with high utilization ratio instead of with high queue delay.Ībstract = "Despite the dependency of electric vehicle (EV) fleets on charging station availability, charging infrastructure remains limited in many cities. Despite the dependency of electric vehicle (EV) fleets on charging station availability, charging infrastructure remains limited in many cities.