Evaluation indicators for road traffic energy consumption: a review and prospect

被引:1
作者
Sun, Bin [1 ]
Hu, Le [2 ]
Fan, Zhaoyang [1 ]
Mao, Hongjun [1 ]
Zhang, Qijun [1 ]
机构
[1] Nankai Univ, Coll Environm Sci & Engn, Tianjin Key Lab Urban Transport Emiss Res, Tianjin 300071, Peoples R China
[2] Huanggang Normal Univ, Sch Phys & Telecommun, Huanggang 438000, Peoples R China
关键词
Road traffic; Vehicles; Traffic energy consumption; Energy consumption evaluation; Indicators; GREENHOUSE-GAS EMISSIONS; FUEL CONSUMPTION; ELECTRIC VEHICLES; CYCLE; ECONOMY; PREDICTION; EFFICIENCY; IMPACT; MICRO; CO2;
D O I
10.1007/s11356-024-32629-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Indicators for evaluating road traffic energy consumption are critical parameters in the research field of road traffic energy consumption. Improving the applicability of energy consumption indicators can promote the development of green transportation in cities. However, there is currently a lack of systematic analysis of energy consumption indicators in research. Therefore, based on a comprehensive analysis of relevant literature, this study divides the indicators for evaluating road traffic energy consumption into two categories: macro (aimed at traffic systems or traffic flow) and micro (aimed at vehicles). These indicators are subdivided into four categories according to their application characteristics, including general, specific, predictive, and comprehensive. This paper provides a complete summary of various evaluation indicators, including their scope of application, advantages, and limitations, and highlights the relationships between them. Additionally, recommendations are made for the future development of evaluation indicators. Research has found that micro-level general indicators serve as the fundamental components of the mathematical structure for almost all other indicators. Specialized indicators primarily evaluate energy consumption in different driving states of vehicles. Predictive indicators are mainly used for assessing transportation energy consumption in simulation conditions. Comprehensive indicators are mainly applied to evaluate the life cycle energy consumption of vehicles or transportation systems. In future research, the performance of indicators can be improved through the design of standardized indicators, enhancement of energy consumption prediction accuracy, and integration of traffic flow parameters. The research contributes to upgrading energy-saving technologies in road transportation and developing sustainable urban transportation systems.
引用
收藏
页码:22243 / 22257
页数:15
相关论文
共 62 条
[1]   Estimating vehicle fuel consumption and emissions based on instantaneous speed and acceleration levels [J].
Ahn, K ;
Rakha, H ;
Trani, A ;
Van Aerde, M .
JOURNAL OF TRANSPORTATION ENGINEERING, 2002, 128 (02) :182-190
[2]  
[Anonymous], 2005, Fuel Consumption Modelling of Conventional and Advanced Technology Vehicles in the Physical Emission Rate Estimator (PERE)
[3]   Evaluation of the benefits of the introduction of electricity powered vehicles in an island [J].
Baptista, Patricia C. ;
Silva, Carla M. ;
Pecas Lopes, J. A. ;
Soares, Filipe J. ;
Almeida, Pedro R. .
ENERGY CONVERSION AND MANAGEMENT, 2013, 76 :541-553
[4]   Contribution of Driving Efficiency to Vehicle-to-Building [J].
Borge-Diez, David ;
Miguel Ortega-Cabezas, Pedro ;
Colmenar-Santos, Antonio ;
Juan Blanes-Peiro, Jorge .
ENERGIES, 2021, 14 (12)
[5]   Environmentally appraising different pavement and construction scenarios: A comparative analysis for a typical local road [J].
Celauro, Clara ;
Corriere, Ferdinando ;
Guerrieri, Marco ;
Lo Casto, Barbara .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2015, 34 :41-51
[6]   Meeting U.S. passenger vehicle fuel economy standards in 2016 and beyond [J].
Cheah, Lynette ;
Heywood, John .
ENERGY POLICY, 2011, 39 (01) :454-466
[7]   A PSFI-based analysis on the energy efficiency potential of China's domestic passenger vehicles [J].
Chen, Chuan ;
Ren, Huanhuan ;
Zhao, Dongchang .
INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION (EEEP2016), 2017, 52
[8]   The energy consumption and emission of polyurethane pavement construction based on life cycle assessment [J].
Cong, Lin ;
Guo, Guihong ;
Yu, Meng ;
Yang, Fan ;
Tan, Le .
JOURNAL OF CLEANER PRODUCTION, 2020, 256
[9]   Energy Consumption Prediction for Electric Vehicles Based on Real-World Data [J].
De Cauwer, Cedric ;
Van Mierlo, Joeri ;
Coosemans, Thierry .
ENERGIES, 2015, 8 (08) :8573-8593
[10]   Impact of Updated Material Production Data in the GREET Life Cycle Model [J].
De Kleine, Robert D. ;
Keoleian, Gregory A. ;
Miller, Shelie A. ;
Burnham, Andrew ;
Sullivan, John L. .
JOURNAL OF INDUSTRIAL ECOLOGY, 2014, 18 (03) :356-365