output
19942024
most citedUpdated analysis of N elastic scattering data to 2.1~GeV: The Baryon Spectrum

220 citations

36 papers

cs.RO2024★ 8 cited

RAVE Checklist: Recommendations for Overcoming Challenges in Retrospective Safety Studies of Automated Driving Systems

John M. Scanlon, Eric R. Teoh, David G. Kidd +12

The public, regulators, and domain experts alike seek to understand the effect of deployed SAE level 4 automated driving system (ADS) technologies on safety. The recent expansion o…

cs.RO2024★ 8 cited

Modeling the Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations

Dustin Holley, Jovin Dsa, Hossein Nourkhiz Mahjoub +4

Enhancing simulation environments to replicate real-world driver behavior is essential for developing Autonomous Vehicle technology. While some previous works have studied the yiel…

cs.LG2022★ 30 cited

Uncertainty estimation of pedestrian future trajectory using Bayesian approximation

Anshul Nayak, Azim Eskandarian, Zachary Doerzaph

Past research on pedestrian trajectory forecasting mainly focused on deterministic predictions which provide only point estimates of future states. These future estimates can help…

physics.soc-ph2020★ 20 cited

An In-Depth Analysis of Ride-Hailing Travel Using a Large-scale Trip-Based Dataset

Jianhe Du, Hesham A. Rakha, Helena Breuer

With the rapid increase in ride-hailing (RH) use, a need to better understand and regulate the industry arises. This paper analyzes a year's worth of RH trip data from the Greater…

cs.CY2020★ 78 cited

Modeling bike counts in a bike-sharing system considering the effect of weather conditions

Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha

The paper develops a method that quantifies the effect of weather conditions on the prediction of bike station counts in the San Francisco Bay Area Bike Share System. The Random Fo…

cs.CY2020★ 44 cited

Modeling bike availability in a bike-sharing system using machine learning

Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa +3

This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost)…

physics.soc-ph2020★ 15 cited

Empirical Study of Effect of Dynamic Travel Time Information on Driver Route Choice Behavior

Jinghui Wang, Hesham A. Rakha

The objective of this paper is to study the effect of travel time information on day-to-day driver route choice behavior. A real-world experimental study is designed to have partic…

eess.SY2020★ 107 cited

Vehicle Platooning Impact on Drag Coefficients and Energy/Fuel Saving Implications

Ahmed A. Hussein, Hesham A. Rakha

In this paper, empirical data from the literature are used to develop general power models that capture the impact of a vehicle position, in a platoon of homogeneous vehicles, and…

physics.soc-ph2020★ 41 cited

A Repeated Game Freeway Lane Changing Model

Kyungwon Kang, Hesham A Rakha

Lane changes are complex safety and throughput critical driver actions. Most lane changing models deal with lane-changing maneuvers solely from the merging driver's standpoint and…

eess.SY2020★ 37 cited

Real-time Estimation of Vehicle Counts on Signalized Intersection Approaches Using Probe Vehicle Data

Mohammad A. Aljamal, Hossam M. Abdelghaffar, Hesham A. Rakha

This paper presents a novel method for estimating the number of vehicles traveling along signalized approaches using probe vehicle data only. The proposed method uses the Kalman Fi…

eess.SY2020★ 105 cited

Eco-Driving at Signalized Intersections: A Multiple Signal Optimization Approach

Hao Yang, Fawaz Almutairi, Hesham A. Rakha

Consecutive traffic signalized intersections can increase vehicle stops, producing vehicle accelerations on arterial roads and potentially increasing vehicle fuel consumption level…

cs.NI2018★ 17 cited

The Wireless Control Plane: An Overview and Directions for Future Research

EmadelDin A. Mazied, Mustafa Y. ElNainay, Mohammad J. Abdel-Rahman +4

Software-defined networking (SDN), which has been successfully deployed in the management of complex data centers, has recently been incorporated into a myriad of 5G networks to in…

cond-mat.mes-hall2003★ 215 cited

Theory of local heating in nanoscale conductors

Yu-Chang Chen, Michael Zwolak, Missimiliano Di Ventra

We report first-principles calculations of local heating in nanoscale junctions formed by a single molecule and a gold point contact. Due to a larger heat dissipation, the single m…

cond-mat.mes-hall2002★ 30 cited

Nonlinear current-induced forces in Si atomic wires

Zhongqin Yang, Massimiliano Di Ventra

We report first-principles calculations of current-induced forces in Si atomic wires as a function of bias and wire length. We find that these forces are strongly nonlinear as a fu…

cond-mat.mes-hall2002★ 43 cited

Shot Noise in Nanoscale Conductors From First Principles

Yu-Chang Chen, Massimiliano Di Ventra

We describe a field-theoretic approach to calculate quantum shot noise in nanoscale conductors from first principles. Our starting point is the second-quantization field operator t…

nucl-th2002★ 3 cited

Three-Body approach to the K^- d Scattering Length in Particle Basis

A. Bahaoui, C. Fayard, T. Mizutani +1

We report on the first calculation of the scattering length A_{K^-d} based on a relativistic three-body approach where the two-body input amplitudes coupled to the Kbar N channels…

hep-ex2001★ 18 cited

Exclusive electroproduction of phi mesons at 4.2 GeV

CLAS Collaboration, K. Lukashin, E. S. Smith

We studied the exclusive reaction e p --> e' p' phi using the phi --> K^+ K^- decay mode. The data were collected using a 4.2 GeV incident electron beam and the CLAS detector at Je…

hep-ph1999★ 51 cited

Can Flavor-Independent Supersymmetry Soft Phases Be the Source of All CP Violation?

M. Brhlik, L. Everett, G. L. Kane +2

Recently it has been demonstrated that large phases in softly broken supersymmetric theories are consistent with electric dipole moment constraints, and are motivated in some (Type…

cond-mat.stat-mech1999★ 1 cited

Binary data corruption due to a Brownian agent II: two dimensions, competing agents, and generalized couplings

Wannapong Triampo, T. J. Newman

This work is a continuation of our previous investigation of binary data corruption due to a Brownian agent [T. J. Newman and W. Triampo, preprint cond-mat/9811237]. We extend our…

cond-mat.stat-mech1998★ 7 cited

Binary data corruption due to a Brownian agent

T. J. Newman, Wannapong Triampo

We introduce a model of binary data corruption induced by a Brownian agent (active random walker) on a d-dimensional lattice. A continuum formulation allows the exact calculation o…

cond-mat.stat-mech1998★ 13 cited

Continuum theory of vacancy-mediated diffusion

T. J. Newman

We present and solve a continuum theory of vacancy-mediated diffusion (as evidenced, for example, in the vacancy driven motion of tracers in crystals). Results are obtained for all…

cond-mat.stat-mech1998★ 60 cited

Diffusive persistence and the `sign-time' distribution

T. J. Newman, Z. Toroczkai

We present a new method for extracting the persistence exponent theta for the diffusion equation, based on the distribution P of `sign-times'. With the aid of a numerically verifie…

nucl-th1997★ 117 cited

Nucleon-nucleon elastic scattering analysis to 2.5 GeV

R. A. Arndt, C. H. Oh, I. I. Strakovsky +2

A partial-wave analysis of NN elastic scattering data has been completed. This analysis covers an expanded energy range, from threshold to a laboratory kinetic energy of 2.5 GeV, i…

nucl-th1997★ 2 cited

Remarks on the Delta(+) mass

Ron Workman

We question the reliability of current estimates for the Delta(+) mass. We explain why the standard value, determined from pion photoproduction, should not be used in conjunction w…