B
Bo Chen
Researcher at Michigan Technological University
Publications - 101
Citations - 1935
Bo Chen is an academic researcher from Michigan Technological University. The author has contributed to research in topics: Electric vehicle & Powertrain. The author has an hindex of 16, co-authored 92 publications receiving 1660 citations. Previous affiliations of Bo Chen include University of California & University of California, Davis.
Papers
More filters
Journal ArticleDOI
A Review of the Applications of Agent Technology in Traffic and Transportation Systems
Bo Chen,Harry H. Cheng +1 more
TL;DR: This paper examines an agent- based approach and its applications in different modes of transportation, including roadway, railway, and air transportation, and addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility.
Journal ArticleDOI
Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems
Bo Chen,Harry H. Cheng,Joe Palen +2 more
TL;DR: This paper has developed an IEEE FIPA compliant mobile agent system called Mobile-C and designed an agent-based real-time traffic detection and management system (ABRTTDMS), which takes advantages of both stationary agents and mobile agents.
Journal IssueDOI
Mobile-C: a mobile agent platform for mobile C-C++ agents
Bo Chen,Harry H. Cheng,Joe Palen +2 more
TL;DR: This article presents the design, implementation and application of Mobile-C, an IEEE Foundation for Intelligent Physical Agents (FIPA) compliant agent platform for mobile CsC++ agents, which conforms to the FIPA standards both at agent and platform level.
Journal ArticleDOI
Mobile Agent Computing Paradigm for Building a Flexible Structural Health Monitoring Sensor Network
Bo Chen,Wenjia Liu +1 more
TL;DR: An integrated wireless sensor network consisting of a mobile agent‐based network middleware and distributed high computational power sensor nodes is developed and has been validated for structural damage diagnosis using a scaled steel bridge.
Journal ArticleDOI
Artificial immune pattern recognition for structure damage classification
Bo Chen,Chuanzhi Zang +1 more
TL;DR: An Artificial Immune Pattern Recognition (AIPR) approach for the damage classification in structures and validation results show that the AIPR-based pattern recognition is suitable for structure damage classification.