Tech Xplore

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Detroit Free Press

Detroit bus supervisor, driver caught on video fooling around on the job

A Detroit bus driver and supervisor were caught on camera kissing, grinding and minding everything but their business while the bus was parked when it should have been transporting passengers ...
KCTV News

FIFA defends ‘strong operational outcome’ in transportation process for first Kansas City World Cup game

KANSAS CITY, Mo. (KCTV) - After KC2026 organizers admitted to and recognized problems with pregame traffic flow for the first World Cup game in Kansas City, FIFA officials downplayed transportation ...
IEEE

A Co-Evolution Algorithm With Dueling Reinforcement Learning Mechanism for the Energy-Aware Distributed Heterogeneous Flexible Flow-Shop Scheduling Problem

Abstract: The production process of steelmaking continuous casting (SCC) is a typical heterogeneous distributed manufacturing system. The scheduling problem in heterogeneous distributed manufacturing ...
IEEE

An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...