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Developing High-Precision Battery Electric Forklift Driving Cycle with Variable Cargo Weight
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/atr.1414openalex-snapshot
Development of a driving cycle for Colombo, Sri Lanka: an economical approach for developing countries
inferredcites →https://doi.org/10.1007/s11367-016-1104-yopenalex-snapshot
An environmental life cycle assessment of forklift operation: a well-to-wheel analysis
inferredcites →https://doi.org/10.1016/j.apenergy.2016.05.094openalex-snapshot
Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas
inferredcites →https://doi.org/10.1016/j.apenergy.2020.115408openalex-snapshot
Energy consumption analysis and prediction of electric vehicles based on real-world driving data
inferredcites →https://doi.org/10.1016/j.apr.2019.04.009openalex-snapshot
Development and emissions performance analysis of local driving cycle for small-sized passenger cars in Nanjing, China
inferredcites →https://doi.org/10.1016/j.energy.2017.04.012openalex-snapshot
Energy management strategy development of a forklift with electric lifting device
inferredcites →https://doi.org/10.1016/j.eswa.2014.11.057openalex-snapshot
The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)
inferredcites →https://doi.org/10.1016/j.jclepro.2015.08.007openalex-snapshot
Driving cycle developments and their impacts on energy consumption of transportation
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.145365openalex-snapshot
Real-world emissions of construction mobile machines and comparison to a non-road emission model
inferredcites →https://doi.org/10.1016/j.scitotenv.2023.162914openalex-snapshot
Multi-component emission characteristics and high-resolution emission inventory of non-road construction equipment (NRCE) in China
inferredcites →https://doi.org/10.1016/j.scs.2013.11.010openalex-snapshot
The estimation of a driving cycle for Celje and a comparison to other European cities
inferredcites →https://doi.org/10.1016/j.scs.2017.05.001openalex-snapshot
Development of driving cycles for passenger cars and motorcycles in Chennai, India
inferredcites →https://doi.org/10.1016/j.scs.2017.09.034openalex-snapshot
Development of Mashhad driving cycle for passenger car to model vehicle exhaust emissions calibrated using on-board measurements
inferredcites →https://doi.org/10.1016/j.scs.2019.101588openalex-snapshot
Development of a driving cycle for a supercapacitor electric bus route in Hong Kong
inferredcites →https://doi.org/10.1016/j.scs.2021.102854openalex-snapshot
Development of bus driving cycles using a cost effective data collection approach
inferredcites →https://doi.org/10.1016/j.scs.2023.104819openalex-snapshot
Developing electric bus driving cycles with significant road gradient changes: A case study in Hong Kong
inferredcites →https://doi.org/10.1016/j.scs.2024.105256openalex-snapshot
Dynamic pricing for load shifting: Reducing electric vehicle charging impacts on the grid through machine learning-based demand response
inferredcites →https://doi.org/10.1016/j.trd.2008.11.008openalex-snapshot
Development of real-world driving cycle: Case study of Pune, India
inferredcites →https://doi.org/10.1016/j.trd.2016.05.010openalex-snapshot
Development of driving cycles for electric vehicles in the context of the city of Florence
inferredcites →https://doi.org/10.1016/j.trd.2016.05.013openalex-snapshot
Research on Markov property analysis of driving cycles and its application
inferredcites →https://doi.org/10.1016/j.trd.2017.01.009openalex-snapshot
Big data driven dynamic driving cycle development for busses in urban public transportation
inferredcites →https://doi.org/10.1016/j.trd.2017.04.005openalex-snapshot
Building Tianjin driving cycle based on linear discriminant analysis
inferredcites →https://doi.org/10.1016/j.trd.2018.01.032openalex-snapshot
Development of a typical driving cycle for an intra-city hybrid electric bus with a fixed route
inferredcites →https://doi.org/10.1016/j.trd.2020.102279openalex-snapshot
Development of a representative urban driving cycle construction methodology for electric vehicles: A case study in Xi’an
inferredcites →https://doi.org/10.1016/j.trd.2020.102294openalex-snapshot
Driving cycles that reproduce driving patterns, energy consumptions and tailpipe emissions
inferredcites →https://doi.org/10.1016/j.trd.2021.102955openalex-snapshot
Energy and environmental efficiency of China’s transportation sectors considering CO2 emission uncertainty
inferredcites →https://doi.org/10.1016/j.trd.2023.103715openalex-snapshot
Construction of high-precision driving cycle based on Metropolis-Hastings sampling and genetic algorithm
inferredcites →https://doi.org/10.1016/j.trd.2023.103900openalex-snapshot
Driving cycle electrification and comparison
inferredcites →https://doi.org/10.1080/01441640903286134openalex-snapshot
A Framework for Developing Driving Cycles with On‐Road Driving Data
inferredcites →https://doi.org/10.1080/03610927408827101openalex-snapshot
A dendrite method for cluster analysis
inferredcites →https://doi.org/10.1088/1757-899x/834/1/012040openalex-snapshot
Development of Kuala Lumpur driving cycle for the estimation of fuel consumption and vehicular emission
inferredcites →https://doi.org/10.1109/access.2018.2871574openalex-snapshot
Stochastic Driving Cycle Synthesis for Analyzing the Energy Consumption of a Battery Electric Bus
inferredcites →https://doi.org/10.1109/access.2021.3054118openalex-snapshot
Study of Driving Cycle of City Tour Bus Based on Coupled GA-K-Means and HMM Algorithms: A Case Study in Beijing
inferredcites →https://doi.org/10.1109/tvt.2016.2546338openalex-snapshot
Synthesis of Realistic Driving Cycles With High Accuracy and Computational Speed, Including Slope Information
inferredcites →https://doi.org/10.1109/tvt.2018.2887063openalex-snapshot
High-Efficiency Driving Cycle Generation Using a Markov Chain Evolution Algorithm
inferredcites →https://doi.org/10.1109/vppc.2015.7352876openalex-snapshot
A Methodology to Obtain a Synthetic Driving Cycle through GPS Data for Energy Analysis
inferredcites →https://doi.org/10.1287/trsc.1120.0447openalex-snapshot
Using Large Driving Record Samples and a Stochastic Approach for Real-World Driving Cycle Construction: Winnipeg Driving Cycle
inferredcites →https://doi.org/10.3390/en15114108openalex-snapshot
Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology
inferredcites →https://doi.org/10.4186/ej.2019.23.4.49openalex-snapshot
Development of a Realistic Driving Cycle Using Time Series Clustering Technique for Buses: Thailand Case Study
inferredcites →https://doi.org/10.4271/02-14-04-0034openalex-snapshot
Development of Wheel Loader Duty Cycle Using Hybrid Markov Chain and Genetic Algorithm
inferredcites →https://doi.org/10.4271/2011-01-0880openalex-snapshot
An Iterative Markov Chain Approach for Generating Vehicle Driving Cycles
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