Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

HIVE™ [SWR-19-36]

Software ·
DOI:https://doi.org/10.11578/dc.20221031.1· OSTI ID:code-93368 · Code ID:93368

The HIVE™ platform is a mobility services simulation platform developed to provide insight on the energy, infrastructure, service, and economic outcomes of various mobility as a service (MaaS) options. The HIVE platform takes a set of spatiotemporal travel origin-destination pairs and simulates the operation of a predefined mobility service fleet, incorporating request pooling, and various operational and charging behaviors. Hive specializes at modeling fleets of automated electric vehicles (AEVs) and can be used to site and size direct current fast charge (DCFC) stations and measure grid impacts of large-scale AEV fleets serving real-world MaaS trip demand (similar to taxis, Uber, Lyft, etc.). Potential outcomes from a Hive simulation include level of service, total vehicle miles traveled (VMT), deadheading (zero passenger) miles, simultaneous and total energy loads, average occupancy, and more. Hive is developed to generalize to new regions and can be customized to handle many scenarios and operating conditions.

Short Name / Acronym:
HIVE™
Site Accession Number:
NREL SWR-19-36
Software Type:
Scientific
License(s):
BSD 3-clause "New" or "Revised" License
Programming Language(s):
Python
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Laboratory Directed Research and Development (LDRD) Program

Primary Award/Contract Number:
AC36-08GO28308
DOE Contract Number:
AC36-08GO28308
Code ID:
93368
OSTI ID:
code-93368
Country of Origin:
United States

Similar Records

Feasibility Analysis of Taxi Fleet Electrification Using 4.9 Million Miles of Real-World Driving Data: Preprint
Conference · Thu Jun 06 00:00:00 EDT 2019 · OSTI ID:1526197

Feasibility Analysis of Taxi Fleet Electrification Using 4.9 Million Miles of Real-World Driving Data
Conference · Tue Apr 02 00:00:00 EDT 2019 · OSTI ID:1526198

Feasibility Analysis of Taxi Fleet Electrification
Conference · Mon Jun 17 00:00:00 EDT 2019 · OSTI ID:1528853

Related Subjects