| [1] |
BAO Xueying, LI Fengxia, YANG Minmin, CAO Taiyao, LI Longbin.
Carbon-Constrained Multi-objective Collaborative Optimization in Railway Bridge Construction
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 45-53.
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| [2] |
HUANG Deqi1, DONG Chunfa2,ZHAO Jun1,GUO Yanan2,CAO Chunmeng2.
Exploring Enhanced Traffic Signal Control Based on Improved PPO
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 61-68.
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| [3] |
FAN Zhiqiang1, LIANG Jiahui1, LI Shanshan2.
Electric Bus Charging Facility Layout and Scheduling Optimization Considering Deadhead Time
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 89-98.
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| [4] |
ZHANG Yifan,WANG Hongxin,LI Bingchao,LI Haifeng.
Collaborative Optimization of Stand Allocation and Towing Scheduling Based on Priority Sequence
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(4): 107-116.
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| [5] |
GAN Zuoxian, LIU Yaxin, ZHAO Ruijia.
Reversing Variable Lane Design and Signal Timing Optimization Considering Saturation Time Non-stationarity
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 75-85.
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| [6] |
MA Zhaosheng, YANG Rongfeng, CHEN Yao, LIAO Weiqiang, YU Wanneng.
Design of Marine Rim-Driven Thruster Based on Flux-Switching Motor
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 113-119.
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| [7] |
YANG Pengpeng1,2, ZENG Shenghao2, XUE Hai2, BAI Yongliang2.
Lithium Battery Remaining Life Prediction Based on Dual Strategy Optimization of VMD-HO-LSTM
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2026, 45(1): 120-128.
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| [8] |
LIU Chuncheng1, CHEN Menghai2, ZHAO Ningyu2, JIANG Haifei2, XU Kunjie3.
Creep Parameter Inversion of Mudstone Tunnel Anchor Based on Multi-objective Optimization
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(9): 42-49.
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| [9] |
YANG Xiaohua, WANG Yong, GOU Mengyuan, LUO Siyu, ZHU Li.
Vehicle Routing Problem in Reverse Logistics Based on Dynamic Demand and Resource Sharing
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(9): 74-83.
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| [10] |
PAN Guobing1,YU Hongbing1,SU Lin2,ZHANG Shuntao3,WU Wei1.
Detection and Analysis of Anomalous Values of Static Level Instrument Vertical Displacement Monitoring of Bridges Based on DBSCAN-LERP-LSTM
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 25-32.
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| [11] |
CHEN Danyong1, WANG Yuliang1, ZENG Fenghong1, WU Chengxi2.
Port Cargo Throughput Forecasting Based on CPSO Algorithm Improved GM-Markov Model
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(8): 108-115.
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| [12] |
JIANG Yongzhi1,2,3, WANG Dong2, LIU Wenjie2, GONG Rui2, WU Pingbo1.
Design of Heavy-Load Suspended Tanker and Structural Optimization of the Bogie Frame
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(7): 1-6.
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| [13] |
WU Huawei1,2, LI Lang1,2, LI Zhi1,2, ZENG Yunyun3, PENG Jianping3.
Multi-field Coupled Noise Optimization for Wheel Hub Motors Incorporating ICOA and PSM
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(7): 23-32.
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| [14] |
XU Xinquan1, HU Yuanjiao2, WENG Yuhan3, HE Weijie1.
Road surface texture is a key factor affecting the skid resistance performance. To further study its influence mechanism and to solve the problem of limited accuracy of traditional prediction methods under multi-feature data conditions, a pavement skid resistance performance assessment model based on the fusion of Bayesian optimization algorithm (BOA) and extreme gradient boosting (XGBoost) was proposed. Firstly, specimens phalt mixtures of different gradation types were prepared. Friction data and 3D texture data of the specimen surface were respectively obtained by using a pendulum friction meter and a 3D laser scanning device. Secondly, the height, the wavelength and shape parameters were extracted to describe the texture structure, and the texture feature importance analysis was carried out to clarify the factors that significantly affected the skid resistance. Then, the optimal key parameters were improved by introducing of the model BOA-XGBoost and the prediction model of skid resistance performance was established. The research results show that compared with the comparative models, the proposed model has higher accuracy, with a correlation coefficient R2 of 0.890 6, which is 25.2%, 13.0%, and 15.1% higher than those of the comparative models, respectively. The proposed model can effectively correlate texture features with pavement skid resistance performance.
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 35-44.
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| [15] |
YAN Linjun1,LIU Jingjing1,LI Fei2,WANG Yani1,CHEN Huixin1.
Simulation Study on Construction Progress Risks of Subway “Tunnel-Four Electricity” Technology Interface
[J]. Journal of Chongqing Jiaotong University(Natural Science), 2025, 44(6): 64-72.
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