韩凌辉
韩凌辉,副教授,硕士导师,北京交通大学博士,新加坡南洋理工大学博士后(Research Fellow),大连市高层次人才
研究方向:城市交通网络设计及管理,城市综合交通运输管理,城市无人机物流规划及管理,无人机图像识别及其在城市交通管理中的应用,海运物流等。
韩凌辉
韩凌辉,副教授,硕士导师,北京交通大学博士,新加坡南洋理工大学博士后(Research Fellow),大连市高层次人才
研究方向:城市交通网络设计及管理,城市综合交通运输管理,城市无人机物流规划及管理,无人机图像识别及其在城市交通管理中的应用,海运物流等。
研究成果:主持博士后基金面上项目(一等资助)1项,国家自然基金面上项目1项。参与国家自然基金面上项目、重点项目及新加坡教育部学术资助项目(MOE-Tier2)等。
[1] Han L H, Sun H J*, Wang D Z W, Zhu C J. A stochastic process traffic assignment model
considering stochastic traffic demand[J]. Transportmetrica B, 2016: 1-21.
[2] Han L H, Sun H J*, Wu J J, Zhu C J. Day-to-day evolution of the traffic network with
Advanced Traveler Information System[J]. Chaos, Solitons & Fractals, 2011, 44(10):
914-919.
[3] Han L H, Sun H J*, Zhu C J, Wu J J. The Stability of Multi-modal Traffic Network[J].
Communications in Theoretical Physics, 2013, 60(1):48-54.
[4] Han L H, Wang D Z W*, Lo H K, Zhu C J, Cai X J. Discrete-time day-to-day dynamic
congestion pricing scheme considering multiple equilibria[J]. Transportation Research Part B:
Methodological, 2017, 104:1-16.
[5] Han L H, Wang D Z W*, Zhu C J. The discrete-time second-best dynamic road pricing
scheme[J]. Transportation Research Procedia, 2017, 23: 322-340.(ISTTT2017)
[6] Han L H, Zhu, C J, Wang D Z W*, Sun H J, Tan Z J, Meng M. Discrete-time dynamic road
congestion pricing under stochastic user optimal principle[J]. Transportation Research Part E:
Logistics and Transportation Review, 2019, 131: 24-36.
[7] Han L H*, Zhu C, Wang D Z, Wu J J. A discrete-time second-best dynamic road pricing
scheme considering the existence of multiple equilibria[J]. Transportmetrica B: Transport
Dynamics, 2021: 1-21.
[8] Wu J J, Sun H J*, Wang D Z W, Zhong M, Han L H, Gao Z Y. Bounded-rationality based
day-to-day evolution model for travel behavior analysis of urban railway network.
Transportation Research Part C: Emerging Technologies, 2013, 31: 73-82.
[9] Sun H J*, Zhang S, Han L H, Zhao X M, Lou L. Day-to-Day Evolution Model Based on
Dynamic Reference Point with Heterogeneous Travelers. Networks and Spatial Economics,
2020, 20(4): 935-961.