Match!
Yinhai Wang
University of Washington
EngineeringTraffic flowTransport engineeringComputer scienceSimulation
290Publications
31H-index
3,843Citations
What is this?
Publications 266
Newest
Abstract Network-wide traffic forecasting is a critical component of modern intelligent transportation systems for urban traffic management and control. With the rise of artificial intelligence, many recent studies attempted to use deep neural networks to extract comprehensive features from traffic networks to enhance prediction performance, given the volume and variety of traffic data has been greatly increased. Considering that traffic status on a road segment is highly influenced by the upstr...
Source
#1Dan Liu (FAU: Florida Atlantic University)
#2Pengyu Yan (University of Electronic Science and Technology of China)
Last. Evangelos I. Kaisar (FAU: Florida Atlantic University)H-Index: 5
view all 5 authors...
Decentralized freight decision making has been proven to be one of the barriers to achieve the optimal cost-saving of a freight transportation network. This study presents a collaborative intermoda...
Source
Accurate and reliable traffic forecasting for complicated transportation networks is of vital importance to modern transportation management. The complicated spatial dependencies of roadway links and the dynamic temporal patterns of traffic states make it particularly challenging. To address these challenges, we propose a new capsule network (CapsNet) to extract the spatial features of traffic networks and utilize a nested LSTM (NLSTM) structure to capture the hierarchical temporal dependencies ...
Source
#1Luqi Wang (GDUT: Guangdong University of Technology)
#2Xiaolong Xue (GU: Guangzhou University)
Last. Ziqiang Zeng (Sichuan University)
view all 5 authors...
De-carbonization of the transport sector is an important pathway to climate-change mitigation and presents the potential for future lower emissions. To assess the potential quantitatively under different optimization measures, this paper presents a hybrid model combining an integrated machine learning model with the scenario analysis. We compare the training accuracy of the back-propagation neural networks (BPNN), Gaussian process regression (GPR), and support vector machine (SVM) fitting model ...
Source
In 2017 the Federal Transit Administration (FTA) awarded Pierce Transit of Lakewood, WA a $1.66 million grant for a bus collision avoidance and mitigation safety research and demonstration project....
Source
#1Rui QiuH-Index: 1
#2Jiuping XuH-Index: 13
Last. Yinhai WangH-Index: 31
view all 5 authors...
Abstract The pollution-routing problem aims to route a number of vehicles and determines their speeds on each route segment to minimize total cost, including fuel, emission and driver costs. Recently, carbon pricing initiatives have been widely implemented worldwide. With consideration of the interactions between carbon pricing initiatives and freight schedules, this paper presents a carbon pricing initiatives-based bi-level pollution routing problem involving an authority and a freight company....
Source
#1Ruimin KeH-Index: 7
#2Shuo FengH-Index: 3
Last. Yinhai WangH-Index: 31
view all 4 authors...
Source
#1Ruimin Ke (UW: University of Washington)H-Index: 7
#2Wan Li (ORNL: Oak Ridge National Laboratory)H-Index: 1
Last. Yinhai Wang (UW: University of Washington)H-Index: 31
view all 4 authors...
Traffic speed prediction is a critically important component of intelligent transportation systems. Recently, with the rapid development of deep learning and transportation data science, a growing ...
Source
#1Ziyuan PuH-Index: 2
#2Zhiyong CuiH-Index: 6
Last. Yinhai WangH-Index: 31
view all 5 authors...
An accurate road surface friction forecasting algorithm can allow travelers and managers to schedule trips and maintenance activities based on the road weather condition to enhance traffic safety and efficiency in advance. Previously, scholars developed multiple forecasting models to predict road surface conditions using historical data. However, historical dataset used for model training may have missing values caused by multiple issues, e.g. the data collected by on-vehicle sensors may be infl...
Source
#1Zhiyong Cui (UW: University of Washington)H-Index: 6
#2Kristian Henrickson (UW: University of Washington)H-Index: 7
Last. Yinhai Wang (UW: University of Washington)H-Index: 31
view all 5 authors...
AbstractIn recent years, with the advancement in traffic sensing, data storage, and communication technologies, the availability and diversity of transportation data have increased substantially. W...
Source
12345678910