教育背景
工作经历
项目课题经历
1. Singapore Ministry of Education AcRF Tier 1 Grant RG117/14, M401030000 参加2. 大城市交通需求的引导理论与方法 科技部“973” 参加3. 智能公交管理策略的优化理论与方法 国家自然科学基金青年 参加4. 突发事件下城市道路交通拥堵传播规律及应急消散控制策略 国家自然科学基金青年 参加
论文、成果、著作等
专利、著作版权等
在Transportation research part B等期刊上发表SCI论文多篇,其中ESI高被引论文2篇。➣ JOURNAL PAPERS:1. Liu H., Wang D. Z.W., Global optimization method for network design problem with stochastic user equilibrium, Transportation Research Part B, 2015, 72, 20-39. (ESI Highly Cited Paper)2. Wang D. Z.W., Liu H., Szeto W.Y., A novel discrete network design problem formulation and its global optimization solution algorithm, Transportation Research Part E, 2015, 79, 213-230. (ESI Highly Cited Paper)3. Liu, H., Wang, D.Z.W., Locating multiple types of charging facilities for battery electric vehicles. Transportation Research Part B, Available online 27 January, 2017.4. Liu, H., Wang, D.Z.W., Modeling and solving discrete network design problem with stochastic user equilibrium, Journal of Advanced Transportation, 2015, 50, 7, 1295-1313. 5. Wang, D.Z.W., Liu, H., Szeto, W.Y., Chow, A.H.F., Identification of critical elements in transportation networks – a global optimisation approach, Transportmetrica A, 2016, 12, 4, 346-365. 6. Liu, H., Wang, D.Z., Yue, H., Global optimization for transport network expansion and signal setting, Mathematical Problems in Engineering, 2015, Article ID 385713.7. Ren, H, Liu, H., Long, J., Gao, Z., Dynamic user optimal signal design at isolated intersections, Promet-Traffic & Transportation, 2013, 25, 1, pp 13-22. ➣ CONFERENCES:1. Liu H., Wang D. Z.W., Global optimization approach for combined traffic assignment and signal control, Transportation Research Board 92nd Annual Meeting, 2013, Washington, D.C.. 2. Liu, H., Wang, D.Z.W., A global optimization method for linearized urban transport network planning: capacity expansion and signal setting, hEART 2014 conference, Leeds, 2014. 3. Ren, H, Liu, H., Long, J., Gao, Z., Dynamic user optimal signal design at an intersection, 2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO), 2011, pp. 1074-1077. (CONFERENCE)
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