Jiaming Wu
Jiaming Wu is a researcher in the Department of Architecture and Civil Engineering. His research interest lies in modeling and optimization of intelligent transport systems, with particular focuses on electromobility (electric vehicles, buses, and micro-mobility), connected and automated vehicles, and intersection control. He is now leading and involved with several research projects funded by European Commission, Swedish Energy Agency, Swedish Transport Administration, etc.
Showing 27 publications
Safety-Oriented Personalized Service Strategy in Air-Ground Integrated Mobility
Capacity of Vehicular Networks in Mixed Traffic With CAVs and Human-Driven Vehicles
Guidance Method of Connected Autonomous Vehicles Under Automatic Control Intersections
Interaction-Aware Trajectory Prediction for Autonomous Vehicle Based on LSTM-MLP Model
Collaborative electric vehicle routing with meet points
Cooperative Incident Management in Mixed Traffic of CAVs and Human-Driven Vehicles
Investigating the Influence of ADAS on Drivers’ Evasive Behaviors During Car-Following on Highways
Traffic safety analysis of inter-tunnel weaving section with conflict prediction models
Future connected vehicles: Communications demands, privacy and cyber-security
Dynamic Programming-Based Optimal Charging Scheduling for Electric Vehicles
Intersection control with connected and automated vehicles: a review
Longitudinal control for person-following robots
Traffic signal coordination control for arterials with dedicated CAV lanes
An Online Processing Method for the Cooperative Control of Connected and Automated Vehicle Platoons
The cooperative sorting strategy for connected and automated vehicle platoons
A Platoon Regulation Algorithm to Improve the Traffic Performance of Highway Work Zones
Are shared electric scooters energy efficient?
Safety effects of road pavement resurfacing: A case study of city-wide scale projects in China
Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making
A deep learning approach to real-time CO concentration prediction at signalized intersection
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Showing 16 research projects
Energy efficiency analysis for co-existing shared and electric micromobility systems
Mobile charging as a service for electric vehicles
ERGODIC: Combined passenger and goods transportation in suburb traffic
FEAT: Fleet management for efficient and sustainable electric micromobility systems
LEAR: Robust LEArning methods for electric vehicle Route selection
ATEM - Accelerating transport electrification by machine learning
Accelerating transport electrification by machine learning
AI-cloud-based Vehicle Management Strategies for Electrified Vehicles
RHEA: Demand-supply asymmetRy mitigation witH modular Electric bus plAtforms
ICV-Safe: Testing safety of intelligent connected vehicles in open and mixed road environment
Public transit shared mobility - connected and safe solutions