[1]马晓磊,陈汐,代壮,杜博文. 一种基于两阶段启发式算法的定制公交线路设计方法.专利号:ZL201811227668.4
[2]马晓磊,栾森,杜博文.一种基于广义极值T分布偏差的非周期拥堵检测方法.专利号:ZL202011400595.1
[3]马晓磊,代壮,陈汐.配合区间车的自动驾驶公交组合调度优化方法.专利号:ZL20191337623.7
[4]马晓磊,闫昊阳,边婧,张远波.基于大语言模型的自适应与可解释交通态势预测方法及系统.专利号:ZL202511062569.5
[5]Xiaolei Ma, Yunpeng Wang, Sen Luan, Zhuang Dai, Yi Li. Transportation Network Speed Forecasting Method Using Deep Capsule Networks With Nested LSTM Models, 专利号:US11270579B2
[1] X. Liu, P. Plötz, S. Yeh, Z. Liu, X. Liu, and X. Ma. Transforming public transport depots into profitable energy hubs. Nature Energy (2024)
[2] Z. Liu, Y. Wang, S. Yeh, P. Plötz, B. Yu, and X. Ma. Leveraging battery electric-bus charging networks for resilient shared EV charging via deep reinforcement learning. Engineering (2025)
[3] H. Yan, Z. Cui, X. Chen, and X. Ma. Distributed multi-agent deep reinforcement learning for multi-line dynamic bus timetable optimization. IEEE Transactions on Industrial Informatics, 19(1): 469–479 (2023)
[4] X. Liu, X. Liu, C. Xie, and X. Ma. Impacts of photovoltaic and energy storage system adoption on public transport: A simulation-based optimization approach. Renewable and Sustainable Energy Reviews, 181: 113319 (2023)
[5] Z. Dai, X. Liu, Z. Chen, R. Guo, and X. Ma. A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach. Transportation Research Part B: Methodological, 125: 29–51 (2019)