News

COVID-19 impact on transportation system could be persistent

Sustained decreased ridership would have a devastating impact across the entire transportation system. But increased ridership should be the ultimate goal if many metropolitan areas want to meet their transportation decarbonization targets.

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Using a virtual world to improve real-world energy efficiency in connected and automated vehicles (CAVs)

New Vehicle-in-the-Loop (VIL) approach enables quick, cost-effective evaluation of energy use and emissions.

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Argonne and the Chicago Transit Authority dissect how transit changes will impact mobility

A new approach for understanding how transportation systems and people are likely to respond to systemic changes using optimization algorithms for route designs, timetables and strategies

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Autonomie goes off-road

Argonne has partnered with the University of Helsinki to use existing component models (e.g., engine, transmission) and controls developed for on-road applications to expand Autonomie capabilities to include dedicated off-road models (e.g., hydraulic pumps).

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Argonne takes its modeling show on new roads

Argonne deploys its transportation system model to new metropolitan areas including Detroit, Atlanta and Austin metropolitan areas.

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Argonne’s machine learning model estimates technology contributions towards MSRP

A new methodology based instead on a top-down approach has been developed: from vehicle retail price (MSRP) estimation using machine learning techniques down to component price attributional effects on vehicle MSRP by leveraging game theory concepts of coalition and cooperation.

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Argonne sheds light on promise, implications of mobility technologies

Argonne insights shed light on the impact of numerous technologies including vehicle electrification, automated vehicles [AVs], transit, ride hailing, freight, and e-commerce across a large number of scenarios. And more importantly, the insights look at these technologies in combination

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Argonne looks to power electric aviation with new dynamic system simulation tool

Scientists at Argonne have built software to measure how to conserve energy in flight with 21st century vehicles — including electric and hybrid airplanes and drones.

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Unleashing vehicle energy benefits through connectivity and automation

Prototyping in a simulated environment is a great first step but assumptions must eventually be validated in a real world setting.

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Adaptable workflow analyzes the interdependent effects of smart mobility technologies

Not every new mobility technology automatically improves a city’s transportation network—modeling a range of converging consequences reveals solutions that create net positive effects.

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A breakthrough view of electric avenue

Argonne engineers look at large-scale transportation networks with a fresh set of eyes by combining transportation and electric grid models

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Using Argonne’s world-class supercomputer to ease congestion

Argonne’s POLARIS transportation model becomes the eye in the sky after connecting to the lab’s supercomputer.

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Broadening our systematic understanding of mobility

Argonne speaks with Michael Berube, the acting deputy assistant secretary for transportation in DOE’s Office of Energy Efficiency and Renewable Energy, about the future of mobility.

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New tool simulating freight movement quantifies impacts of e-commerce and tech on transportation

E-commerce, fast internet and disruptive technologies are ushering the U.S. into an age of great convenience and speed. Citizens can order products from wherever, whenever, and receive them in a matter of days or even hours.

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Making sense of cities

How sensory technologies can help us understand urban systems and make them smarter

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Data-Driven Expansion

Argonne sheds light on congestion, energy and emission issues at one of America’s busiest airport

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Aerial innovation

Argonne explores opportunities for using drones to advance scientific research across many fields

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Transforming transportation with machine learning

From individual vehicle components to entire metropolitan areas, Argonne uses machine learning to address complex transportation problem

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