article-journal

An Inverse Reinforcement Learning Approach for Customizing Automated Lane Change Systems
Vehicle automation seeks to enhance road safety and improve the driving experience. However, a standard system does not account for …
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A Predictive Analytics Tool to Provide Visibility Into Completion of Work Orders in Supply Chain Systems
In current supply chain operations, original equipment manufacturers (OEMs) procure parts from hundreds of globally distributed …
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Predicting Interstate Motor Carrier Crash Rate Level using Classification M odels
Ensuring safe operations of large commercial vehicles (motor carriers) remains an important challenge, particularly in the United …
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Auction Bidding Methods for Multi-Agent Consensus Optimization in Supply-Demand Networks
Multiagent systems are characterized by decentralized decision-making by the (semi)autonomous agents and localized communication or …
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