Dynamic Traffic Assignment (DTA) encompasses a class of models designed to represent and predict time‐dependent traffic flows in road networks, capturing the evolution of congestion, queue formation ...

Traffic assignment and network equilibrium optimization form the theoretical and computational backbone of modern transportation planning, guiding the allocation of travel demand across a network of ...

Maryland has become the first state in the U.S. to ban stores from engaging in dynamic pricing, a controversial practice gaining traction at retailers nationwide. Gov. Wes Moore first introduced the ...

What the ad tech industry really needs right now is a new three-letter acronym. Well, no. What the industry needs is open-source code to improve real-time bidding and optimize traffic. It just so ...

New Framework Aligns with Agentic Real-Time Framework to Enable Smarter Demand Signaling and Reduce QPS Waste Across the Supply Chain "The donation of the Dynamic Traffic Engine is a massive leap ...

NEW YORK, March 31, 2026 /PRNewswire/ -- After a major rebrand at the end of 2025, GOOD TRAFFIC (formerly known as mobilads) continues its growth by expanding transit Out-of-Home (OOH) operations into ...

Huber Heights has teamed with AI consulting company CybrCastle to install and implement a “smart traffic solutions system,” which aims to address traffic issues in congested areas. The pilot program ...

Deputy Tim Jordan was struck and killed by a train while working a traffic assignment in Bossier Parish. The incident occurred around 8 a.m., with preliminary reports suggesting a possible misjudgment ...

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Abstract: To address the limitations of Static Traffic Assignment (STA) in managing multi-period electric vehicle (EV) charging demand, which accumulates significant errors, and to circumvent the high ...

The MARL-OD-DA framework redesigns multi-agent reinforcement learning by using OD-pair–level agents and Dirichlet-based continuous routing actions, enabling scalable and stable traffic assignment in ...