Traffic flow modelling and dynamics are at the forefront of efforts to understand and optimise urban transport systems. The field integrates theoretical and computational approaches to depict and ...
In a recent upgrade to its TrafficVLM model, Gaode (also known as Amap) has introduced a new feature allowing users to view real-time traffic congestion ...
Everyone hates traffic. Big cities in particular are plagued by an overabundance of vehicles, turning a simple crosstown ...
Road traffic exhaust emission predictions are used to inform transport policy and investment decisions aimed at reducing emissions and achieving sustainable mobility. Emission predictions are also ...
The "Digital Green Wave" project in Changxing County is managed by the Yuntong Shuda team, aimed at enhancing traffic management efficiency through digital means. By conducting in-depth analysis of ...
The Bangkok Post on MSN

Green light for AI traffic signals

BANGKOK: For years, Bangkok’s drivers have endured hours stuck in traffic. But a quiet revolution has been underway since ...
The effective utilization of urban spatiotemporal datais crucial for the construction of smart cities. This patent from ...
COMET Industries discovers how smart rail technology and real-time data can improve freight traffic flow and route optimisation.
Google uses AI and Google Maps driving trends to model traffic patterns and provide recommendations for optimizing traffic light plans. The implementation takes less than five minutes for city ...