梁鸣璋 - 东南大学

个人简介

发明专利王炜，梁鸣璋，等. 考虑综合交通管理措施的城市道路网络广义路权计算方法. 申请号： 2017103466929. 王炜，魏雪延，梁鸣璋，等. 一种尾号限行条件下的交通分配修正方法. 申请号： 2017103066216. 吴忠君，王炜，胡晓健，魏雪延，梁鸣璋，等. 一种提高有轨电车信号路口通过效率的车辆控制方法. 申请号：2017103380735. 赵明，王炜，刘卫宁，辜继东，宋刚，梁鸣璋，等. 一种基于 RFID 数据的城市错峰通行效果分析方法. 申请号：2018107631313. 赵德，王炜，武丽佳，梁鸣璋，等. 一种基于聚类算法的共享单车停车区布设方法. 申请号： 2020105905091. 赵德，王炜，武丽佳，屠雨，梁鸣璋. 一种基于 Voronoi 图的混合公共自行车调度需求预测方法. 申请号：2020105887549. 赵德，王炜，武丽佳，季彦婕，屠雨，梁鸣璋. 一种有桩与无桩混用的公共自行车分区调度方法. 申请号：2018102857934. 赵德，王炜，武丽佳，季彦婕，屠雨，梁鸣璋. 一种有桩与无桩混用的公共自行车分区调度方法. 申请号：2018102857934. 王炜，梁鸣璋，等. 一种实现自动检测道路交通量的方法. 申请号：2017102385905. 王炜，辛泽昊，梁鸣璋，等. 一种基于时间序列聚类分析的异常驾驶行为判别方法. 申请号： 2018102136165. 王炜，卢慕洁，梁鸣璋，等. 一种基于交通监测数据的路段通行能力挖掘方法. 申请号： 2018110577723. 王炜，戴随喜，陈坦，梁鸣璋，等. 一种基于逆向交通分配的错峰出行政策评价方法. 申请号：2019105009236.

近期论文

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1. Liang, M., Xu, M., Wang, S. (2025). A novel multi-objective evolutionary algorithm for transit network design and frequency-setting problem considering passengers’ choice behaviors under station congestion, Transportation Research Part B: Methodological, 197, 103238. 2. Liang, M., Xu, M., Wang, S. (2025). Multi-objective optimization of integrated urban transit limited-stop pattern and bike-sharing operating strategy, Transportation Research Part C: Emerging Technologies, 178, 105247. 3. Liang, M., Zhang, H. M., ... & Dong, C. (2021). Cooperatively coevolutionary optimization design of limited-stop services and operating frequencies for transit networks. Transportation Research Part C: Emerging Technologies, 125, 103038. 4. Liang, M., Wang, W., Dong, C., & Zhao, D. (2020). A cooperative coevolutionary optimization design of urban transit network and operating frequencies. Expert Systems with Applications, 160, 113736. 5. Liang, M., Wang, W., Ye, C., Dong, C. (2024). Layout Planning of a Basic Public Transit Network Considering Expected Travel Times and Transportation Efficiency. Systems, 12(12), 550. 6. Liang, M., Chao, Y., Tu, Y., Xu, T. (2023). Vehicle Pollutant Dispersion in the Urban Atmospheric Environment: A Review of Mechanism, Modeling, and Application. Atmosphere, 14, 279. 7. Li, Y., Xing, L., Wang, W., Liang, M., & Wang, H. (2018). Evaluating the impact of Mobike on automobile-involved bicycle crashes at the road network level. Accident Analysis & Prevention, 112, 69-76. 8. Dong, C., Xiong, Z., Li, N., Yu, X., Liang, M., Zhang, C., ... & Wang, H. (2025). A real-time prediction framework for energy consumption of electric buses using integrated Machine learning algorithms. Transportation Research Part E: Logistics and Transportation Review, 194, 103884.