scispace - formally typeset
X

Xuegang Ban

Researcher at University of Washington

Publications -  136
Citations -  4199

Xuegang Ban is an academic researcher from University of Washington. The author has contributed to research in topics: Computer science & Traffic flow. The author has an hindex of 29, co-authored 119 publications receiving 3114 citations. Previous affiliations of Xuegang Ban include University of California, Davis & University of California, Berkeley.

Papers
More filters
Journal ArticleDOI

Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment

TL;DR: Results suggest that a 2-3% penetration of cell phones in the driver population is enough to provide accurate measurements of the velocity of the traffic flow, demonstrating the feasibility of the proposed system for real-time traffic monitoring.
Journal ArticleDOI

Urban traffic signal control with connected and automated vehicles: A survey

TL;DR: Six types of CAV-based traffic control methods are summarized and a conceptual mathematical framework is proposed that can be specified to each of six three types of methods by selecting different state variables, control inputs, and environment inputs is proposed.
Journal ArticleDOI

Delay Pattern Estimation for Signalized Intersections Using Sampled Travel Times

TL;DR: A least-squares–based algorithm is developed to match measured delays in each cycle by using piecewise linear curves, which is useful for providing time-dependent intersection delay information to the driving public.
Journal ArticleDOI

Characterization of ridesplitting based on observed data: A case study of Chengdu, China

TL;DR: This paper aims to explore the characteristics and effects of ridesplitting using observed ridesourcing data provided by DiDi Chuxing that contain complete datasets of the ridesourcing trajectories and orders in the city of Chengdu, China, and develops strategies for improving its use in emerging ridesourcing services.
Journal ArticleDOI

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Estee Y Cramer, +294 more
TL;DR: In this paper , the authors compared the probabilistic accuracy of short-term forecasts of reported deaths due to COVID-19 during the first year and a half of the pandemic in the United States.