Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 289-294.doi: 10.11896/jsjkx.200600019
• Intelligent Computing • Previous Articles Next Articles
LUO Jing-jie, WANG Yong-li
CLC Number:
[1] LIN J,NIEMEIER D A.Exploratory analysis comparing a stochastic driving cycle to California's regulatory cycle[J].Atmospheric Environment,2002,36(38):5759-5770. [2] KNEZ M,MUNEER T,JEREB B,et al.The estimation of a driving cycle for Celje and a comparison to other European cities[J].Sustainable Cities and Society,2014,11:56-60. [3] HEREIJGERS K,SILVAS E,HOFMAN T,et al.Effects ofusing synthesized driving cycles on vehicle fuel consumption[J].IFAC-Papers OnLine,2017,50(1):7505-7510. [4] GONG H M,ZOU Y,YANG Q K,et al.Dietmar Goehlich,Generation of a driving cycle for battery electric vehicles[C]//A case study of Beijing,Energy.2018:901-912. [5] QIAN C,WANG L,ZOU X,et al.Construction and Simulation Analysis of Driving Cycle of Urban Electric Logistic Vehicles[OL].https://www.sae.org/publications/technical-papers/content/2020-01-1042/. [6] PENG Y,ZHUANG Y,YANG Y.A driving cycle construction methodology combining k-means clustering and Markov model for urban mixed roads[C]//Proceedings of the Institution of Mechanical Engineers.2020:714-724. [7] LIN J.A Markov process approach to driving cycle develop-ment.[OL].https://search.proquest.com/openview/4013d81fe9e3b3c6dabcb8a8cd2c1239/1?pq-origsite=gscholar&cbl=18750&diss=y. [8] ZHANG J,WANG Z,LIU P,et al.Driving cycles construction for electric vehicles considering road environment:A case study in Beijing[OL].https://www.sciencedirect.com/science/article/abs/pii/S0306261919311882. [9] JIANG P,SHI Q,CHEN W,et al.A Research on the Construction of City Road Driving Cycle Based on Wavelet Analysis [J].Automotive Engineering,2011,33(1):70-73,51. [10] LIU Z,ZHU P,LIU X,et al.Research on K-means clustering improvement and driving condition construction [J].Automotive Technology. [11] SHI Q,QIU D,ZHOU J.Construction and precision analysis of driving conditions based on combined clustering method [J].Automotive Engineering,2012,34(2):164-169. [12] JIANG P.Research on the construction of urban mixed roaddriving conditions [D].Hefei:Hefei University of Technology,2011. [13] YAN W,LI M,ZHONG Y,et al.A Novel k-MPSO Clustering Algorithm for the Construction of Typical Driving Cycles[C]//IEEE Access.2020,88:64028-64036. [14] SEYYED M E G,MAZLUMI K.Adaptive protection scheme for microgrids based on SOM clustering technique[J].Applied Soft Computing,2020:106062. [15] WILINSKI A.Time series modeling and forecasting based on a Markov chain with changing transition matrices[J].Expert Systems with Applications,2019,133:163-172. [16] WU Y,ZHANG W,ZHANG L,et al.A Multi-Clustering Algorithm to Solve Driving Cycle Prediction Problems Based on Unbalanced Data Sets:A Chinese Case Study[J].Sensors,2020,20:2448. [17] YAN J,LIU J,TSENG F M.An evaluation system based on the self-organizing system framework of smart cities:A case study of smart transportation systems in China[J].Technological Forecasting and Social Change,2020,153:119371 [18] SHI Q,ZHENG Y,JIANG P.Research on driving conditions of urban roads based on kinematic fragments [J].Automotive Engineering,2011,33(3):256-261. [19] LI J.Research on related technologies of data processing andanalysis platform for operating vehicle operating conditions [D].Beijing:Beijing Jiaotong University,2014. |
[1] | XIE Bai-lin, LI Qi, KUANG Jiang. Microblog Popular Information Detection Based on Hidden Semi-Markov Model [J]. Computer Science, 2022, 49(6A): 291-296. |
[2] | XIANG Chang-sheng, CHEN Zhi-gang. Chaotic Prediction Model of Network Traffic for Massive Data [J]. Computer Science, 2021, 48(5): 289-293. |
[3] | LI Xiang-li, JIA Meng-xue. Nonnegative Matrix Factorization Algorithm with Hypergraph Based on Per-treatments [J]. Computer Science, 2020, 47(7): 71-77. |
[4] | MA Chuang, YUAN Ye and YOU Hai-sheng. Agricultural Product Output Forecasting Method Based on Grey-Markov Model [J]. Computer Science, 2020, 47(6A): 535-539. |
[5] | ZHANG Jing, YANG Jian, SU Peng. Survey of Monosyllable Recognition in Speech Recognition [J]. Computer Science, 2020, 47(11A): 172-174. |
[6] | ZHANG Cheng-wei, LUO Feng-e, DAI Yi. Prediction Method of Flight Delay in Designated Flight Plan Based on Data Mining [J]. Computer Science, 2020, 47(11A): 464-470. |
[7] | JIA Zhi-chun, LI Xiang, YU Zhan-lin, LU Yuan, XING Xing. QoS Satisfaction Prediction of Cloud Service Based on Second Order Hidden Markov Model [J]. Computer Science, 2019, 46(9): 321-324. |
[8] | DU Zhen, MA Li-peng, SUN Guo-zi. Network Traffic Anomaly Detection Based on Wavelet Analysis [J]. Computer Science, 2019, 46(8): 178-182. |
[9] | LI Xiao-wei, YU Jiang, CHANG Jun, YANG Jin-peng, RAN Ya-xin. Non-cooperative Human Behavior Recognition Method Based on CSI [J]. Computer Science, 2019, 46(12): 266-271. |
[10] | WU Jian-wei, LI Yan-ling, ZHANG Hui, ZANG Han-lin. HMM Cooperative Spectrum Prediction Algorithm Based on Density Clustering [J]. Computer Science, 2018, 45(9): 129-134. |
[11] | YUE Xin, DU Jun-wei, HU Qiang, WANG Yan-ping. Fault Tree Structure Matching Algorithm and Its Application [J]. Computer Science, 2018, 45(9): 202-206. |
[12] | GONG Fa-ming,ZHU Peng-hai. Word Segmentation Based on Adaptive Hidden Markov Model in Oilfield [J]. Computer Science, 2018, 45(6A): 97-100. |
[13] | TONG Zhen-ming, LIU Zhi-peng. Next Place Prediction of Massively Multiplayer Online Role-playing Games [J]. Computer Science, 2018, 45(11A): 453-457. |
[14] | CHEN Bing-cai, WANG Xi-bao, YU Chao, NIAN Mei, TAO Xin, PAN Wei-min, LU Zhi-mao. Saliency Detection Based on Surroundedness and Markov Model [J]. Computer Science, 2018, 45(10): 272-275. |
[15] | XU Guang-gen, YANG Lu and YAN Jian-feng. Sparse Trajectory Destination Prediction Algorithm Based on Markov Model [J]. Computer Science, 2017, 44(8): 193-197. |
|