Abstract: This paper aims to propose a two-stage clustering approach for calibration of traffic flow fundamental diagrams for dynamic traffic assignment ... dependent on roadway physical attributes, a ...

A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could ...

With AI-infused lineage tracking, teams can identify deviations in data flow indicative of malicious activity or unintentional exposure. Machine learning and real-time data processing frameworks ...

CoinFlip, a Chicago-based operator of more than 5,500 cryptocurrency ATMs globally, is exploring a potential sale as merger and acquisition activity heats up across the digital asset sector ...

Offline simulator for Lucidchart — create diagrams, flowcharts, org charts, and process maps in a local UI environment with no login or internet. lucidchart training app, flowchart tool offline, org ...

The RBI has generally maintained a data-dependent approach to future rate cuts and refrained from giving any guidance on its potential moves. Still, market watchers will closely examine the language ...

This interactive, designed and built by Slate’s Andrew Kahn, gives you a sense of the scale of the trans-Atlantic slave trade across time, as well as the flow of ... on the raw data used ...

Abstract: This article presents a novel method for measuring the mass flow rate of gas-liquid two-phase flow based on the multi-sensor data fusion and soft computing model. A multi-sensor system ...

UXsim is a free, open-source macroscopic and mesoscopic network traffic flow simulator written in Python ... Vehicle trajectory diagram on a corridor of the above network: Deep reinforcement learning ...