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Article
Thermodynamics
Shah Mohammad Mominul Islam et al.
Summary: A study was conducted on the techno-economic feasibility of using solar energy for an electric bus depot, with the conclusion that implementing a bus charging routine can significantly reduce operational costs and carbon emissions, providing an optimal energy-saving solution.
Article
Environmental Studies
Kai Liu et al.
Summary: This article focuses on the impact of charging management on the reliability and safety of electric bus services and proposes an optimization model based on rational allocation of charging resources to address the uncertainty of energy consumption. Experimental results show that the robust charging strategies can effectively utilize charging resources and prevent issues caused by low electric quantity and delayed departure.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Energy & Fuels
Irfan Ullah et al.
Summary: Electric vehicles are crucial for smart transportation systems, but limited driving range, prolonged charging times, and inadequate charging infrastructure hinder their adoption. This study employed four different ensemble machine learning algorithms to predict the charging time of electric vehicles, with the XGBoost model achieving the highest accuracy. Additionally, the newly developed SHAP approach was used to interpret the outputs of the ML algorithm.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Kun Jin et al.
Summary: This study investigates the sharing of electric bus charging stations to alleviate the limited access to charging facilities for private electric cars. A mathematically optimized model is proposed to coordinate the optimal charging strategies and sharing operations. The model effectively generates multiple charging strategies and provides concrete suggestions to promote the sustainable development of electric cars and electric buses.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2022)
Article
Energy & Fuels
Ulrich Fretzen et al.
Summary: The research introduces a simple coordination strategy to minimize the impact on EV availability for drivers while maximizing the absorption of PV electricity generation by EV batteries. Results show that this coordination can provide 71%-92% of EV charging load from solar panels in the summer and 13%-76% in the winter, offering benefits compared to uncoordinated charging patterns. The gains are generally highest in winter and vary based on PV and EV integration levels, with minimal impact on EV availability for drivers.
Article
Thermodynamics
Xiaolei Ma et al.
Summary: By analyzing the driving profiles and weight dynamics of buses using high-resolution GPS and smart card transaction data, this study identified heterogenous behaviors influencing the energy consumption of diesel buses and electric buses. The findings suggest that electrifying all bus fleets can result in significant energy savings.
Article
Environmental Studies
Xiaohan Liu et al.
Summary: This research introduces a novel optimization model for electric bus charging station location, charger configuration, charging time, and vehicle flow considering power matching and seasonality. A surrogate-based optimization approach is used to efficiently solve the mixed integer nonlinear program, revealing significant performance differences in vehicle scheduling and charging among different bus fleets in a Beijing-based transit system. Interesting findings on the distribution of vehicle flows for charging provide strong evidence to consider power matching in the bus charging infrastructure layout.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Changxi Ma et al.
Summary: A three-stage hybrid coding method based on NSGA-II algorithm was proposed to deal with customized bus route optimization under uncertain condition, which not only shows better solution results compared to other methods, but also saves computing time.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Swaraj Sanjay Deshmukh et al.
Summary: This study investigates the energy related aspects of developing electric vehicle (EV) charging stations powered with solar photovoltaic (PV) canopies built on the parking infrastructure of large-scale retailers. The results show that Walmart could potentially deploy a significant amount of solar canopies in the U.S., providing solar electricity for a large number of EV charging stations for their customers, covering 90% of the American public living within 15 miles of a Walmart.
Article
Economics
Lu Li et al.
Summary: This paper presents a framework for addressing the multi-depot vehicle location-routing scheduling problem with multiple vehicle types, including electric buses, under range uncertainty. The concept of range reliability is introduced to minimize the expected total cost of the system using stochastic programming and gradient algorithm. The proposed approach shows promising results in bus services in Hong Kong by considering the effects of driving range uncertainty.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Xiaohan Liu et al.
Summary: This paper introduces a novel operational design for flexible route transit services with MAVs to reduce operation costs and enhance customer service quality. A two-stage solution framework utilizing dynamic programming and heuristic methods is developed to address bus scheduling and ride-sharing problems efficiently. Numerical examples and case studies demonstrate the effectiveness of the proposed operational design.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Thermodynamics
Yaseen Alwesabi et al.
Summary: The study aims to optimize the fleet size of electric buses and dynamic wireless charging infrastructure planning, through the development of a Mixed Integer Linear Programming model. Results showed that considering bus purchase costs can save the total system cost.
Article
Transportation Science & Technology
Kun An
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Green & Sustainable Science & Technology
Jing Wang et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Economics
Yi He et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Thermodynamics
Yaseen Alwesabi et al.
Article
Transportation Science & Technology
Lu Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Transportation Science & Technology
Xindi Tang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2019)
Article
Environmental Studies
Xiaolei Ma et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2019)
Article
Transportation Science & Technology
Maria Xylia et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2017)
Article
Economics
Yusheng Wang et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2017)
Article
Energy & Fuels
G. R. Chandra Mouli et al.
