Results 41 to 50 of about 324,420 (181)

Learn, Assign, and Search: Real-Time Estimation of Dynamic Origin-Destination Flows Using Machine Learning Algorithms

IEEE Access, 2019
A common way to estimate dynamic origin-destination (O-D) flows is to establish and solve a bilevel optimization model. Though numerous efforts have been devoted to effectively and efficiently solving the model, challenges still exist because of the ...
Jishun Ou, Jiawei Lu, Jingxin Xia, Chengchuan An, Zhenbo Lu   +4 more
doaj   +1 more source

Feasibility Evaluation of a Long-Life Asphalt Pavement for Steel Bridge Deck

Advances in Civil Engineering, 2020
In order to extend the service life of the steel bridge deck pavement, a long-life steel bridge deck pavement (LLSBDP) was put forward referring to the concept of long-life asphalt pavement.
Leilei Chen, Zhendong Qian, Daoxie Chen, Ya Wei   +3 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Robust Traffic Signal Retiming Based on Queue Service Time Estimation Using Low-Penetration Connected Vehicle Data

Systems
Signal retiming is the most cost-efficient measure to reduce vehicle delay and alleviate congestion on urban roads. Previous studies have explored the potential of using connected vehicle data for signal retiming specifically under the current low ...
Chengchuan An, Weihua Zhang, Yinpu Wang, Siping Ke, Jingxin Xia   +4 more
doaj   +1 more source

Learning Traffic as Images for Incident Detection Using Convolutional Neural Networks

IEEE Access, 2020
The timely and accurate detection of traffic incidents is beneficial to reduce associated economic losses and avoid secondary crashes. Inspired by the impressive success of the image classification algorithms, especially convolutional neural networks ...
Xiaozhou Liu, Hengxing Cai, Renxin Zhong, Weili Sun, Junzhou Chen   +4 more
doaj   +1 more source

Investigation of Air Transportation Technology at Princeton University, 1989-1990 [PDF]

, 1990
The Air Transportation Technology Program at Princeton University proceeded along six avenues during the past year: microburst hazards to aircraft; machine-intelligent, fault tolerant flight control; computer aided heuristics for piloted flight ...
Stengel, Robert F.
core   +1 more source

A Distributed Magnetic Sensor Network: Vehicle Trajectory Tracking Based on Cellular Automaton

Journal of Advanced Transportation
Magnetic sensor-based vehicle detection is a crucial approach for traffic information collection. However, existing methods that rely on individual magnetic sensors—typically installed at the lane center or roadside—struggle in multilane scenarios due to
Xinpeng Yao, Yanli Sun, Mengfei Liu, Hua Wang, Zijian Wang, Wei Quan, Wen Rong   +6 more
doaj   +1 more source

Intelligent Transportation Systems [PDF]

Communications - Scientific letters of the University of Zilina, 2003
Intelligent transportation system (ITS) stands for a transportation system with improved quality of control using an added "intelligence". Improved control can be attained by optimisation methods, by simualtions, interactive methods or artificial intelligence.
openaire   +2 more sources

Automatic Speech Recognition in Air Traffic Control: a Human Factors Perspective [PDF]

, 1990
The introduction of Automatic Speech Recognition (ASR) technology into the Air Traffic Control (ATC) system has the potential to improve overall safety and efficiency.
Karlsson, Joakim
core   +1 more source

A Precrash Scenario Analysis Comparing Safety Performance across Autonomous Vehicle Driving Modes

Journal of Advanced Transportation
Precrash scenario analysis for autonomous vehicles (AVs) is critical for improving the safety of autonomous driving, yet the scenario differences between different driving modes are unexplored.
Tao Wang, Juncong Chen, Wenyong Li, Jun Chen, Xiaofei Ye   +4 more
doaj   +1 more source