Jiajun Xia
Transportation Systems × Optimization & Decision-Making × Networked Autonomy
I study how modeling, optimization, simulation, and learning can support coordinated decision-making in complex transportation and autonomous mobility systems.
01 · Intelligent RailReal-time train decision support
02 · Urban MobilityMetro travel-time reliability
03 · Intelligent VehiclesScenario-adaptive perception
Computational tools for reliable, coordinated mobility systems.
Across rail control, metro networks, and cooperative perception, I focus on system modeling, optimization, learning, and decision-making under real operational constraints.
Intelligent Train Driving Assistance
Transferring globally optimized dynamic-programming policies into millisecond online decisions while preserving ATP safety protection and interpretable driver guidance.
Image preview: the original monitoring interface combines the line speed limit, ATP safety envelope, actual and predicted speed trajectories, and the active temporary-restriction region.
Metro Travel-Time Reliability
A network-scale analysis of Shanghai Metro AFC data using complementary reliability metrics, anomaly detection, regression, temporal analysis, and a management dashboard.
Scenario-Adaptive Multi-Vehicle Perception
Evaluating and optimizing multi-agent cooperative BEV perception across heterogeneous urban and highway scenarios with CARLA–SUMO–OpenCDA, uncertainty modeling, and NAS.
Cooperative Multi-UAV Delivery Scheduling & Route Planning
Ongoing work on coordinated scheduling and routing for multi-UAV delivery systems, with an emphasis on system-level optimization, multi-agent coordination, and last-mile logistics.
Optimization and decision-making for networked mobility systems.
I am especially interested in how sensing, planning, control, infrastructure, and operational decisions can be designed together rather than optimized in isolation.
Transportation Systems Optimization
Network performance, operations, reliability, and constrained system-level decision-making.
Networked & Autonomous Mobility
Interconnected agents, cooperative systems, and future mobility architectures.
Multi-Agent Coordination
Cooperative decision-making, routing and scheduling, and interaction under system constraints.
Simulation, Planning & Control
Scenario-based evaluation, co-simulation, algorithm design, and system-level control.
Academic training meets real-world systems.
University of California, Berkeley
Joint Program · Civil & Environmental Engineering
Tongji University
B.E. Transportation Engineering · GPA 4.53/5.00 · Top 2 in program
ZTO Express
Transportation Management Intern · AI-assisted transit-time performance reporting
T-IES Summer School · Tübingen, Germany
International summer program · Outstanding Student Certificate
Selected awards & scholarships.
05 · BEYOND ENGINEERINGA small visual notebook beyond research.4 photographs · click to open
A compact collection from places that have shaped how I think about cities, infrastructure, and international collaboration. Scroll horizontally to browse.
