Jiaming Wu
Jiaming Wu är forskare vid Institutionen för arkitektur och samhällsbyggnad, Chalmers. Hans forskningsintressen inkluderar samarbetsstyrning av automatiserade fordon, signaliserad korsningskontroll och framväxande mobilitet som ett servicesystem. Jiaming är nu ledare för och involverad i flera forskningsprojekt gällande kollektivtrafiksystem, automatiserad fordonsstyrning och modulära autonoma bussar.
Han har publicerat flera forskningsartiklar i högklassiga tidskrifter som TR-Part A, TR- Part B, TR- Part C och CACAIE.
Visar 30 publikationer
Safety-Oriented Personalized Service Strategy in Air-Ground Integrated Mobility
Capacity of Vehicular Networks in Mixed Traffic With CAVs and Human-Driven Vehicles
Why is your paper rejected? Lessons learned from over 5000 rejected transportation papers
Collaborative electric vehicle routing with meet points
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
Dynamic Programming-Based Optimal Charging Scheduling for Electric Vehicles
Future connected vehicles: Communications demands, privacy and cyber-security
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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Visar 16 forskningsprojekt
Energieffektivitetsanalys för samexisterande delade och elektriska mikromobilitetssystem
Mobilladdning som tjänst för elfordon
ERGODIC: Kombinerade person- och godstransporter i förortstrafik
FEAT: Fordonshantering för effektiva och hållbara elekriska mikromobilitetssystem
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
Säkerhetstestning av intelligenta uppkopplade fordon i mixade trafikmiljöer
Public transit shared mobility - connected and safe solutions