This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput. […]
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This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput. […]
By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time. […]
Studies advancing our understanding of fluid dynamics, environmental processes, materials science, and resilient infrastructure were some of the most popular topics this year This year, CEE’s research efforts deepened our knowledge of public health, climate science, […]
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent. […]
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms. […]
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews. […]
The technique could make AI systems better at complex tasks that involve variability. […]
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse. […]
The Department of Civil and Environmental Engineering is pleased to announce the following faculty promotions: Josephine Carstensen has been promoted to Associate Professor without Tenure effective July 1, 2024. Professor Carstensen received her B.Sc. and M.Sc. […]
A new, data-driven approach could lead to better solutions for tricky optimization problems like global package routing or power grid operation. […]
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning. […]
A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles. […]
The award will support the advancement of large-scale cyber-physical systems Cathy Wu has received a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF), its most prestigious honor for junior faculty members, for […]
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights No one likes sitting at a red light. But signalized intersections aren’t just a minor nuisance for drivers; vehicles consume fuel and emit […]
Strategy accelerates the best algorithmic solvers for large sets of cities. Waiting for a holiday package to be delivered? There’s a tricky math problem that needs to be solved before the delivery truck pulls up to […]