Time-dependent & Stochastic Routing
Two-stage stochastic programming and decomposition algorithms for vehicle routing under time-varying travel times and uncertain demand.
Dynamic space-time networks · Benders decomposition
Transportation optimization · Network modeling · Exact algorithms
Chenhao Zhang
Ph.D. Candidate in Transportation Engineering at Southeast University
Visiting Ph.D. Student at Georgia Institute of Technology
About
I am a Ph.D. candidate at Southeast University, advised by Prof. Lin Cheng, and a CSC-sponsored visiting Ph.D. student at Georgia Tech, working with Prof. Srinivas Peeta.
My research develops space-time(-state) network models and mixed-integer optimization methods for urban delivery and low-altitude logistics. I am especially interested in time-dependent and stochastic routing, truck-drone coordination, charging infrastructure, and crowdsourced delivery.
Across research, open-source software, and teaching, I aim to turn rigorous optimization ideas into reproducible methods that are useful to both researchers and practitioners.
01
Research
Truck–Drone Collaborative Delivery
Space-time-state formulations that coordinate trucks and drones while representing energy, payload, rendezvous, and dynamic no-fly constraints.
Branch-and-price · Branch-and-cut · Low-altitude logistics
Energy-constrained & Emerging Systems
Joint location-routing models for charging infrastructure, dedicated and crowdsourced delivery, and other sustainable urban logistics systems.
Space-electricity networks · Infrastructure planning
02
Publications
The five highlighted papers below are first-author SCI journal articles. Chenhao Zhang denotes the website owner. Manuscript links are included only when a verified DOI is available.
Published journal articles
- TR-C
2025Benders decomposition for traveling salesman problem with drone: A space-time-state network perspective
Chenhao Zhang, Yaoxin Wu, Tao Feng, Yibei Zhang, Maocan Song, Lin Cheng
Transportation Research Part C: Emerging Technologies, 179, 105255.
DOI ↗First authorRepresentative work - TR-E
2026A two-stage stochastic programming approach for the time-dependent vehicle routing problem with stochastic demands: A dynamic space-time network perspective
Chenhao Zhang, Lin Xie, Yaoxin Wu, Tao Feng, Lin Cheng
Transportation Research Part E: Logistics and Transportation Review, 215, 105105.
DOI ↗First authorRepresentative work - AE
2026Benders decomposition for the charging station location-routing problem under stochastic energy consumption: A two-stage model with a space-electricity network perspective
Chenhao Zhang, Mingyang Du, Zhitao Hu, Xia Jiang, Yuan Liu, Lin Cheng
Applied Energy, 416, 127926.
DOI ↗First authorRepresentative work - Energy
2025Benders decomposition for charging station location-routing problem with time-dependent travel times: A space-time-electricity network perspective
Chenhao Zhang, Rui Yong, Xia Jiang, Yibei Zhang, Maocan Song, Lin Cheng
Energy, 333, 137310.
DOI ↗First authorRepresentative work - TL
2024Route optimization of vacant taxicab considering sequential dependence in abstract grid network based on quadtree
Chenhao Zhang, Lin Cheng, Yibei Zhang, Mingyang Du, Wen Zheng
Transportation Letters, 16, 338–353.
DOI ↗First authorRepresentative work - TRR
2025A solution space decomposition method to find the best K fixed-charge network designs
Maocan Song, Chenhao Zhang, Yibei Zhang, Lin Cheng
Transportation Research Record.
DOI ↗ - IET
2026TrafficRobot: An AI agent framework for urban traffic management
Xiaohua Liu, Chenhao Zhang, Defu Wang, Lin Cheng
IET Intelligent Transport Systems, 20, e70189.
DOI ↗ - T-ITS
2026A decomposition-based optimization framework for heterogeneous multi-compartment vehicle routing with splittable demand in urban cold chain logistics
Yibei Zhang, Yang Xiao, Chenhao Zhang, Maocan Song, Lin Cheng
IEEE Transactions on Intelligent Transportation Systems, 1–14.
DOI ↗
Under review / revision
- Chenhao Zhang, T. Feng, Y. Wu, Y. Li, Lin Cheng. “A physical-network-based space-time-state modeling and branch-and-price framework for the time-dependent vehicle routing problem with drones.” Manuscript under revision
- Chenhao Zhang, Z. Jiang, M. Song, M. Du, Lin Cheng. “Branch-and-cut algorithm for the time-dependent flying sidekick traveling salesman problem with mid-route rendezvous on a space-time network.” Manuscript under review
- Chenhao Zhang, M. G. Kibria, Y. Liu, R. Yang, S. Lu, S. Peeta, Lin Cheng. “Stochastic programming approach for joint transfer-station location and dedicated-crowdsourced delivery planning.” Manuscript under review
- Chenhao Zhang, Y. Li, H. Liu, Q. Zhang, Lin Cheng. “Vehicle routing problem with multiple trucks and drones considering time-dependent no-fly zones and payload-dependent energy consumption.” Manuscript under review
Selected conference papers
- Six papers at the 104th and 105th Transportation Research Board Annual Meetings (2025–2026): five as first author and one as corresponding author; presented in Washington, D.C.
- Chenhao Zhang, Lin Cheng, S. Ding, et al. “Analysis of network traffic capacity based on travelers considering travel behavior choice.” CICTP 2022, 2434–2444. First author
- “DRoC: Elevating large language models for complex vehicle routing via decomposed retrieval of constraints.” ICLR. Co-author
03
Experience
Education & academic experience
Georgia Institute of Technology
CSC-sponsored Visiting Ph.D. Student, School of Civil and Environmental Engineering · Host: Prof. Srinivas Peeta
Southeast University
Ph.D. in Transportation Engineering · Advisor: Prof. Lin Cheng
Southeast University
M.S. in Transportation Engineering (recommended admission; completed six months early) · Advisor: Prof. Lin Cheng
Chang’an University
B.Eng. in Transportation Engineering, School of Highway
Research, industry & professional experience
National and provincial research projects
Contributed to two National Natural Science Foundation of China projects (52172318 and 52131203) and the Jiangsu Natural Science Foundation project BK20221469, focusing on network modeling, decomposition algorithms, traffic-data processing, and numerical validation.
Traffic impact assessment & data resources
Worked on five traffic impact assessment projects in Xi’an and Kunshan and a Jiangsu county-level transportation data resource study; led survey, TransCAD modeling, forecasting, and report preparation for selected projects.
Nanjing Highway Development (Group) Co., Ltd.
Supported research on Nanjing’s low-altitude economy and prepared a comparative analysis report.
Operations Research (OR) Panorama
Section editor for transportation and logistics; contributed to the public communication of optimization methods and applications.
04
Teaching & Outreach
University teaching
Teaching assistant for Transportation Engineering (undergraduate) and Urban Transportation Network Analysis (master’s and doctoral levels), including tutorials, assignments, and exam grading.
English-language instruction
Independently delivered five linear programming lectures—10 contact hours in total—for international Ph.D. students.
Open online courses
Produce Bilibili courses on linear programming, MILP modeling, and decomposition algorithms through transportation and logistics examples.
MIP learning community
Founded a community of nearly 700 students and researchers across 100+ universities and 20+ countries and regions, with regular academic discussions.
800K+course views
11K+followers
700community members
20+countries & regions
05
Open Source
Large-scale mixed-integer optimization
Reproducible decomposition algorithms
I publish implementations and learning resources for Benders decomposition, Lagrangian relaxation, branch-and-bound, branch-and-cut, and related methods. My repositories currently have 120+ followers and 140+ stars in total.
Statistics reflect the CV snapshot prepared in 2026 and may change over time.
06
Academic Service
Peer review
Ad Hoc Reviewer
I have served as a reviewer for journals and conferences in transportation, construction, energy systems, and operations research.
- Transportation Research Part E: Logistics and Transportation Review
- Automation in Construction
- Research in Transportation Economics
- International Journal of Electrical Power & Energy Systems
- Transportation Letters
- Transportation Research Interdisciplinary Perspectives
- Multimodal Transportation
- Transportation Research Board Annual Meeting
07
Selected Honors & Awards
CSC Scholarship
Visiting Ph.D. study at Georgia Tech
“Zheng Qingnian” Graduate Student of the Year
Southeast University · 10 university-wide awardees
Outstanding Graduate Student Communist Party Member Model
Southeast University · 20 university-wide awardees
Outstanding Student Leader Model
Southeast University
National Second Prize × 3
China Graduate Mathematical Contest in Modeling · Team leader
First-class Academic Scholarship
Southeast University · Top 10%
School of Transportation Growth Fund
Southeast University · 3 school-wide awardees
Outstanding Communist Party Member & Outstanding Student Leader
Southeast University
Outstanding Graduate Student
Southeast University
Contact
Let’s connect.
I welcome conversations about transportation optimization, large-scale algorithms, urban logistics, teaching, and research collaboration.
Email
zhangchenhaoseu [at] foxmail [dot] com
Profiles
Google Scholar · GitHub · Bilibili