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Remi Tachet

Researcher at Massachusetts Institute of Technology

Publications -  8
Citations -  494

Remi Tachet is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Genographic Project & Population. The author has an hindex of 6, co-authored 7 publications receiving 380 citations.

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Revisiting Street Intersections Using Slot-Based Systems.

TL;DR: Results theoretically show that transitioning from a traffic light system to SI has the potential of doubling capacity and significantly reducing delays, which suggests a reduction of non-linear dynamics induced by intersection bottlenecks, with positive impact on the road network.
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Scaling Law of Urban Ride Sharing

TL;DR: Using data on millions of taxi trips in New York City, San Francisco, Singapore, and Vienna, the shareability curves for each city are computed, and it is found that a natural rescaling collapses them onto a single, universal curve.
Journal Article

Scaling Law of Urban Ride Sharing

TL;DR: In this paper, the authors compute the shareability curves for each city, and find that a natural rescaling collapses them onto a single, universal curve, and explain this scaling law theoretically with a simple model that predicts the potential for ride sharing in any city, using a few basic urban quantities and no adjustable parameters.
Journal ArticleDOI

Estimating Savings in Parking Demand Using Shared Vehicles for Home–Work Commuting

TL;DR: In this article, the authors developed a data-driven methodology for estimating commuter parking needs in different shared mobility models, including a model where self-driving vehicles are used to partially compensate flow imbalance typical of commuting, and further reduce parking infrastructure at the expense of the increased traveled kilometers.
Journal ArticleDOI

Population Histories of the United States Revealed through Fine-Scale Migration and Haplotype Analysis

TL;DR: A comprehensive view of recent population history is assembled by studying the ancestry and population structure of more than 32,000 individuals in the US using genetic, ancestral birth origin, and geographic data from the National Geographic Genographic Project.