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Number of documents

9

CV_SU YUE


My education background:

2019.10-present CentraleSupélec, PhD with National Scholarship (CSC), research project: pickup and delivery problems of electric vehicles, with Prof. Jakob PUCHINGER.

2016.09-2019.06 Southwest Jiaotong University, Master's Science Degree, majored in transportation palnning and management, more specialized in traffic design optimization, honered "Distinguished Master's Dissertation" (top 5%).

2014.09-2016.06 Ecole Centrale de Lille, Master's Engineering Degree with National Scholarship (CSC), general engineering formation, joint degree program.

2012.09-2014.06 Southwest Jiaotong University, Bachelor's Degree, majored in Transportation, top 3% student.

My research interests:

dial-a-ride problem with electric vehicles, heuristics, meta-heuristics, exact methods, deep learning methods, vehicle routing problems, traffic road/network design optimization, continuous approximation

My research experiences:

2021.01 Journal paper "A deterministic annealing local search for the electric autonomous dial-a-ride problem.", submitted to Applied Soft Computing, under review.

2021.07 Conference paper "A deterministic annealing local search for the electric autonomous dial-a-ride problem.", accepted and presented at 31st European Conference on Operational Research (EURO 2021), Athens, Greece, 2021.

2021.04 Conference paper "A deterministic annealing local search for the electric autonomous dial-a-ride problem.", accepted and presented at 22ème congrès annuel de la société Française de Recherche Opérationnelle et d'Aide à la Décision, Mulhouse, France, 2021.

2021.01 Conference paper "A deep-learning approach for network traffic assignment with incomplete data", accepted by 100th Transportation Research Board Annual Meeting 2021, presented at Washington D.C.

2019.06 Conference paper "Heterogeneous design for feeder services of trunk transit system", accepted and presented at IEEE Intelligent Transportation System Conference 2019 in Auckland.

2019.02 SCI-indexed journal paper "Optimal design of bus routes for different vehicle types considering various driving regimes and environmental factors" accepted and published by Transportation Research Record (IF=0.748)

2018.10 Conference paper "Optimal design of bus routes for different vehicle types considering various driving regimes and environmental factors" accepted by 98th Transportation Research Board Annual Meeting, presented at Washington D.C.

2018.04 Conference paper "Bus route design for different vehicle models considering environmental factors" accepted by World Transport Convention, presented at Beijing.

2017.04-2018.04 National funded project (NSFC: 51608455): Independently proposed an optimization model for the stop density (upstream and downstream) and multi-period headway (peak and off-peak) optimization to minimize total system cost.

2016.06-2016.08 Intership: Lille Mechanical Laboratory, integrated in the national funded project of France to study the characteristic of concretes and improve performance.

2014.09-2016.01 Project: Automated circulatory system, won the 1st price of engineering award in 2015 at Ecole Centrale de Lille, cooperated with B&W company, design and construction of a eco-friendly circulatory system.

My Competence:

Full competence in French, level DALF C1 (lifelong certificat, excellent)

IELTS 7.0, TOEIC 840, full competence in English

Expertise at programming: Matlab, Python, Julia, C

My Rewards

2019.07/2014.07 Full Scholarship by Chinese Scholarship Council (twice)

2016.01 First Price of Engineering Award

2013.10-2019.09 College's Top Schoalrship, First and Second Class Honors


Journal articles2 documents

  • Mahama Yahaya, Wenbo Fan, Chuanyun Fu, Xiang Li, Yue Su, et al.. A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt. International Journal of Injury Control and Safety Promotion, Taylor & Francis, 2020, pp.1-10. ⟨10.1080/17457300.2020.1746814⟩. ⟨hal-02537137⟩
  • Yue Su, Xiaobo Liu, Guo Lu, Wenbo Fan. Optimal Design of Bus Routes for Different Vehicle Types Considering Various Driving Regimes and Environmental Factors. Transportation Research Record, SAGE Journal, 2019, 2673 (6), pp.299-316. ⟨10.1177/0361198119841566⟩. ⟨hal-02385828⟩

Conference papers6 documents

  • Yue Su, Nicolas Dupin, Jakob Puchinger. A Column-generation-based heuristic for the Electric Autonomous Dial-a-Ride Problem. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. ⟨hal-03595209⟩
  • Yue Su, Nicolas Dupin, Jakob Puchinger. A Column-generation-based heuristic for the Electric Autonomous Dial-a-Ride Problem. 23ÈME CONGRÈS DE LA ROADEF, Feb 2022, Lyon, France. ⟨hal-03564499⟩
  • Yue Su, Jakob Puchinger, Nicolas Dupin. A Deterministic Annealing Local Search for the Electric Autonomous Dial-a-Ride Problem. 31st European Conference on Operational Research (EURO 2021), Jul 2021, Athens, Greece. ⟨hal-03300090⟩
  • Yue Su, Wenbo Fan, Jakob Puchinger, Minyu Shen. A Deep-Learning Approach for Network Traffic Assignment with Incomplete Data. Transportation Research Board 100th Annual Meeting, Jan 2021, Washington D.C., United States. ⟨hal-03131516⟩
  • Yue Su, Nicolas Dupin, Jakob Puchinger. A Deterministic Annealing Local Search for the Electric Autonomous Dial-a-Ride Problem. ROADEF2021, 22ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Apr 2021, Mulhouse, France. ⟨hal-03197153⟩
  • Yue Su, Fan Wenbo. Heterogeneous Design for Feeder Services of Trunk Transit System. 22nd Intelligent Transportation Systems Conference (ITSC), Oct 2019, Auckland, New Zealand. ⟨10.1109/ITSC.2019.8917013⟩. ⟨hal-02489404⟩

Preprints, Working Papers, ...1 document

  • Yue Su, Jakob Puchinger, Nicolas Dupin. A Deterministic Annealing Local Search for the Electric Autonomous Dial-a-Ride Problem. 2021. ⟨hal-03211499v2⟩