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A Network Flow Approach to Battery Electric Bus Scheduling

Journal Article · · IEEE Transactions on Intelligent Transportation Systems
Not provided.
Research Organization:
ABB, Inc., Cary, NC (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
EE0009194
OSTI ID:
2418076
Journal Information:
IEEE Transactions on Intelligent Transportation Systems, Journal Name: IEEE Transactions on Intelligent Transportation Systems Journal Issue: 9 Vol. 24; ISSN 1524-9050
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (24)

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Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile journal October 2021
Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework journal July 2021
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Collaborative Optimization of Vehicle and Charging Scheduling for a Bus Fleet Mixed With Electric and Traditional Buses journal January 2020
A Generic Cycle Life Model for Lithium-Ion Batteries Based on Fatigue Theory and Equivalent Cycle Counting journal January 2020
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Evaluating Electric Bus Operation for a Real-World BRT Public Transportation Using Simulation Optimization journal October 2016
Electric Vehicle Charging Station Placement for Urban Public Bus Systems journal January 2017
On Charging Scheduling Optimization for a Wirelessly Charged Electric Bus System journal June 2018
Bi-Objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity journal April 2021
Multiphysical Lithium-Based Battery Model for Use in State-of-Charge Determination journal October 2012
Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption journal May 2021
Assignment Problems journal January 2012
Transit Bus Scheduling with Limited Energy journal November 2014

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