林典超
基本信息
林典超
副教授
研究方向
联网车，智能交通管理，道路交通管控，微观路权交易，智慧出行
讲授课程
凯发k8登录的联系方式
- 通信地址： 经管西楼215
- 电子邮箱： lindianchao@fzu.edu.cn
个人简介
林典超，男，籍贯福州，纽约大学交通规划及工程博士，副教授，硕士生导师，福建省c类引进人才，海外旗山学者。主要研究兴趣集中在城市交通管控及其相关科学问题上。
学习经历
2016 - 2021：纽约大学，交通规划与工程，博士
2013 - 2016：同济大学，交通信息工程，学术硕士
2009 - 2013：同济大学，交通工程，学士
2013 - 2016：同济大学，交通信息工程，学术硕士
2009 - 2013：同济大学，交通工程，学士
工作经历
2022 至今：福州大学，管理科学与工程，副教授
科研项目
主持国家自然科学基金青年项目:《基于智能交通管理的微观路权实时优化与交易系统设计》（72201065），2022-2025，¥30万。
主持福建省自然科学基金青年项目：《基于车联网的微观路权交易与管理系统设计》（2023j0123），2023-2026，¥5万。
主持福建省自然科学基金青年项目：《基于车联网的微观路权交易与管理系统设计》（2023j0123），2023-2026，¥5万。
获奖经历
近年发表的主要论文
期刊论文：
1.lin, d., ma, w.*, li, l., wang, y.h. (2016) a driving force model for non-strict priority crossing behaviors of right-turn drivers. transportation research part b: methodological, 83, 230-244. (交通顶刊)
2. zheng, f., jabari, s.e.*, liu, h.x., and lin, d. (2018). traffic state estimation using stochastic lagrangian dynamics. transportation research part b: methodological, 115, 143-165. (交通顶刊)
3. lin, d., li, l., and jabari, s.e*. (2019) pay to change lanes: a cooperative lane-changing strategy for connected/automated driving. transportation research part c: emerging technologies, 105, pp.550-564. (交通顶刊)
4. jabari, s.e.* g., dilip, d.m., lin, d. & thodi, b.t. (2019). learning traffic flow dynamics using random fields. ieee access, 7, 130566-130577.
5. lin, d., and jabari, s.e.*. (2021) pay for intersection priority: a free market mechanism for connected vehicles. ieee transactions on intelligent transportation systems. (智能交通顶刊)
6. li, l., and lin, d.*. (2021) three-player cooperative game with side-payments for discretionary lane changes of connected vehicles. ieee access.
7. li, l., and lin, d.*. (2022) design and comparative analysis on real-time trade of road priority in connected traffic. ieee access.
8. fang, j., wu, x., lin d.*, xu, m.*, wu, h, wu, x., and bi t. (2023). a map-matching algorithm with extraction of multi-group information for low-frequency data. ieee intelligent transportation systems magazine.
8. lin d., li l. (2023). an efficient safety-oriented car-following model for connected automated vehicles considering discrete signals[j]. ieee transactions on vehicular technology.
主要会议论文：
1. lin, d., chen, x.*, lin, b., li, l. (2014) phenomena and characteristics of moped-passing-bicycle on shared lanes. 93rd annual meeting of the trb (no.14-1970).
2. lin, d., li, l., zang, z.q., ma, w.*. (2015) new saturation flow rate adjustment method of shared right-turn lanes with bikes’ effect in china. 94th annual meeting of the trb (no.15-3594).
3. li, l., lin, d., chen, x., ma, w.* (2015) saturation flow rate of shared non-motorized lane at intersections. 94th annual meeting of the trb (no.15-0837).
4. lin, d.*, li, l., and jabari, s.e. (2018) lane changing strategies for connected vehicles using cooperative game theory. uaegsrc (graduate students research conference).
5. li, l., and lin, d.*. (2018) a safety-oriented car-following model for connected automated vehicles. uaegsrc (graduate students research conference).
6. lin, d.*, li, l., tembine, h., and jabari, s.e. (2019) pay to change lanes: a lane-changing strategy for connected/automated driving using cooperative game theory. 98th annual meeting of the trb (no. 19-04412).
7. li, l., lin, d.*, pantelidis, t., jabari, s.e., and chow, y.j. j. (2019) an agent-based simulation for shared automated electric vehicles with vehicle relocation. in 2019 ieee intelligent transportation systems conference (itsc), pp. 3308-3313. ieee, 2019.
8. lin, d.*, and jabari, s.e.. (2019) transferable utility games based intersection control for connected behicles. in 2019 ieee intelligent transportation systems conference (itsc), pp. 3496-3501. ieee, 2019.
9. li, l., lin, d.*, and jabari, s.e. (2020). a user-based charge and subsidy scheme for single o-d network mobility management. in 2020 ieee intelligent transportation systems conference (itsc). ieee.
10. lin, d.*, and jabari, s.e. (2020). comparative analysis of economic instruments in intersection operation: a user-based perspective. in 2020 ieee intelligent transportation systems conference (itsc). ieee.
11. li l., and lin, d.* (2022). a cooperative game for discretionary lane-changes with side-payments: a multi-lane case in connected vehicle environment. 101st annual meeting of the trb (trbam-22-04587).
12. lin d., li l.*, xue n., et al (2023). learning imminent throughput for real-time intersection control with deep neural network. in 2023 ieee 26th international conference on intelligent transportation systems (itsc). ieee.
1.lin, d., ma, w.*, li, l., wang, y.h. (2016) a driving force model for non-strict priority crossing behaviors of right-turn drivers. transportation research part b: methodological, 83, 230-244. (交通顶刊)
2. zheng, f., jabari, s.e.*, liu, h.x., and lin, d. (2018). traffic state estimation using stochastic lagrangian dynamics. transportation research part b: methodological, 115, 143-165. (交通顶刊)
3. lin, d., li, l., and jabari, s.e*. (2019) pay to change lanes: a cooperative lane-changing strategy for connected/automated driving. transportation research part c: emerging technologies, 105, pp.550-564. (交通顶刊)
4. jabari, s.e.* g., dilip, d.m., lin, d. & thodi, b.t. (2019). learning traffic flow dynamics using random fields. ieee access, 7, 130566-130577.
5. lin, d., and jabari, s.e.*. (2021) pay for intersection priority: a free market mechanism for connected vehicles. ieee transactions on intelligent transportation systems. (智能交通顶刊)
6. li, l., and lin, d.*. (2021) three-player cooperative game with side-payments for discretionary lane changes of connected vehicles. ieee access.
7. li, l., and lin, d.*. (2022) design and comparative analysis on real-time trade of road priority in connected traffic. ieee access.
8. fang, j., wu, x., lin d.*, xu, m.*, wu, h, wu, x., and bi t. (2023). a map-matching algorithm with extraction of multi-group information for low-frequency data. ieee intelligent transportation systems magazine.
8. lin d., li l. (2023). an efficient safety-oriented car-following model for connected automated vehicles considering discrete signals[j]. ieee transactions on vehicular technology.
主要会议论文：
1. lin, d., chen, x.*, lin, b., li, l. (2014) phenomena and characteristics of moped-passing-bicycle on shared lanes. 93rd annual meeting of the trb (no.14-1970).
2. lin, d., li, l., zang, z.q., ma, w.*. (2015) new saturation flow rate adjustment method of shared right-turn lanes with bikes’ effect in china. 94th annual meeting of the trb (no.15-3594).
3. li, l., lin, d., chen, x., ma, w.* (2015) saturation flow rate of shared non-motorized lane at intersections. 94th annual meeting of the trb (no.15-0837).
4. lin, d.*, li, l., and jabari, s.e. (2018) lane changing strategies for connected vehicles using cooperative game theory. uaegsrc (graduate students research conference).
5. li, l., and lin, d.*. (2018) a safety-oriented car-following model for connected automated vehicles. uaegsrc (graduate students research conference).
6. lin, d.*, li, l., tembine, h., and jabari, s.e. (2019) pay to change lanes: a lane-changing strategy for connected/automated driving using cooperative game theory. 98th annual meeting of the trb (no. 19-04412).
7. li, l., lin, d.*, pantelidis, t., jabari, s.e., and chow, y.j. j. (2019) an agent-based simulation for shared automated electric vehicles with vehicle relocation. in 2019 ieee intelligent transportation systems conference (itsc), pp. 3308-3313. ieee, 2019.
8. lin, d.*, and jabari, s.e.. (2019) transferable utility games based intersection control for connected behicles. in 2019 ieee intelligent transportation systems conference (itsc), pp. 3496-3501. ieee, 2019.
9. li, l., lin, d.*, and jabari, s.e. (2020). a user-based charge and subsidy scheme for single o-d network mobility management. in 2020 ieee intelligent transportation systems conference (itsc). ieee.
10. lin, d.*, and jabari, s.e. (2020). comparative analysis of economic instruments in intersection operation: a user-based perspective. in 2020 ieee intelligent transportation systems conference (itsc). ieee.
11. li l., and lin, d.* (2022). a cooperative game for discretionary lane-changes with side-payments: a multi-lane case in connected vehicle environment. 101st annual meeting of the trb (trbam-22-04587).
12. lin d., li l.*, xue n., et al (2023). learning imminent throughput for real-time intersection control with deep neural network. in 2023 ieee 26th international conference on intelligent transportation systems (itsc). ieee.
出版著作