The trade-off between taxi time and fuel consumption in airport ground movement S Ravizza, J Chen, JAD Atkin, EK Burke, P Stewart Public Transport 5 (1-2), 25-40, 2013 | 101 | 2013 |
An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector M Weiszer, J Chen, G Locatelli Applied Energy 157, 567-582, 2015 | 84 | 2015 |
Aircraft taxi time prediction: Comparisons and insights S Ravizza, J Chen, JAD Atkin, P Stewart, EK Burke Applied Soft Computing 14, 397-406, 2014 | 75 | 2014 |
A fuzzy approach to addressing uncertainty in Airport Ground Movement optimisation AEI Brownlee, M Weiszer, J Chen, S Ravizza, JR Woodward, EK Burke Transportation Research Part C: Emerging Technologies 92, 150-175, 2018 | 65 | 2018 |
Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing—Part I: Optimal Speed Profile Generation J Chen, M Weiszer, P Stewart, M Shabani IEEE Transactions on Intelligent Transportation Systems, 2016 | 63 | 2016 |
A population adaptive based immune algorithm for solving multi-objective optimization problems J Chen, M Mahfouf International Conference on Artificial Immune Systems, 280-293, 2006 | 59 | 2006 |
A survey of safety separation management and collision avoidance approaches of civil UAS operating in integration national airspace system G Xiangmin, LYU Renli, SHI Hongxia, C Jun Chinese Journal of Aeronautics 33 (11), 2851-2863, 2020 | 57 | 2020 |
Toward a more realistic, cost-effective, and greener ground movement through active routing: A multiobjective shortest path approach J Chen, M Weiszer, G Locatelli, S Ravizza, JA Atkin, P Stewart, EK Burke IEEE Transactions on Intelligent Transportation Systems 17 (12), 3524-3540, 2016 | 52 | 2016 |
Aircraft taxi time prediction: Feature importance and their implications X Wang, A Brownlee, J Woodward, M Weiszer, M Mahfouf, J Chen Transportation Research Part C: Emerging Technologies, 2020 | 49 | 2020 |
A real-time active routing approach via a database for airport surface movement M Weiszer, J Chen, P Stewart Transportation Research Part C: Emerging Technologies 58, 127-145, 2015 | 46 | 2015 |
A knowledge-transfer-based learning framework for airspace operation complexity evaluation X Cao, X Zhu, Z Tian, J Chen, D Wu, W Du Transportation Research Part C: Emerging Technologies 95, 61-81, 2018 | 42 | 2018 |
Planning aircraft taxiing trajectories via a multi-ojective immune optimisation J Chen, P Stewart Natural Computation (ICNC), 2011 Seventh International Conference on 4, 2235 …, 2011 | 38 | 2011 |
Cooperative pursuit of unauthorized UAVs in urban airspace via Multi-agent reinforcement learning W Du, T Guo, J Chen, B Li, G Zhu, X Cao Transportation Research Part C: Emerging Technologies 128, 103122, 2021 | 37 | 2021 |
Multi-objective routing and scheduling for airport ground movement M Weiszer, EK Burke, J Chen Transportation Research Part C: Emerging Technologies 119, 102734, 2020 | 36 | 2020 |
On the utilisation of fuzzy rule-based systems for taxi time estimations at airports J Chen, S Ravizza, JAD Atkin, P Stewart OASIcs-OpenAccess Series in Informatics 20, 2011 | 36 | 2011 |
A heuristic approach to greener airport ground movement M Weiszer, J Chen, S Ravizza, J Atkin, P Stewart Evolutionary Computation (CEC), 2014 IEEE Congress on, 3280-3286, 2014 | 33 | 2014 |
An online speed profile generation approach for efficient airport ground movement T Zhang, M Ding, H Zuo, J Chen, M Weiszer, X Qian, EK Burke Transportation Research Part C: Emerging Technologies 93, 256-272, 2018 | 25 | 2018 |
Preference-based evolutionary algorithm for airport surface operations M Weiszer, jun Chen, P Stewart, X Zhang Transportation Research Part C: Emerging Technologies 91, 296-216, 2018 | 25 | 2018 |
A Deep Unsupervised Learning Approach for Airspace Complexity Evaluation B Li, W Du, Y Zhang, J Chen, K Tang, X Cao IEEE Transactions on Intelligent Transportation Systems, 2021 | 22 | 2021 |
A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines Y Zhang, J Chen, C Bingham, M Mahfouf Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on, 1599-1603, 2014 | 22 | 2014 |