Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors J Zhao, H Xu, H Liu, J Wu, Y Zheng, D Wu Transportation research part C: emerging technologies 100, 68-87, 2019 | 380 | 2019 |
A risk-based optimisation for pavement preventative maintenance with probabilistic LCCA: a Chinese case D Wu, C Yuan, H Liu International Journal of Pavement Engineering 18 (1), 11-25, 2017 | 66 | 2017 |
A life-cycle optimization model using semi-markov process for highway bridge maintenance D Wu, C Yuan, W Kumfer, H Liu Applied Mathematical Modelling 43, 45-60, 2017 | 64 | 2017 |
An automatic lane marking detection method with low-density roadside LiDAR data C Lin, Y Guo, W Li, H Liu, D Wu IEEE Sensors Journal 21 (8), 10029-10038, 2021 | 50 | 2021 |
Passenger flow prediction based on land use around metro stations: a case study C Lin, K Wang, D Wu, B Gong Sustainability 12 (17), 6844, 2020 | 46 | 2020 |
Factor identification and prediction for teen driver crash severity using machine learning: A case study C Lin, D Wu, H Liu, X Xia, N Bhattarai Applied Sciences 10 (5), 1675, 2020 | 44 | 2020 |
Evaluation, classification, and influential factors analysis of traffic congestion in Chinese cities using the online map data C Bian, C Yuan, W Kuang, D Wu Mathematical Problems in Engineering 2016 (1), 1693729, 2016 | 30 | 2016 |
Extending the detection range for low-channel roadside LiDAR by static background construction H Liu, C Lin, B Gong, D Wu IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 29 | 2022 |
Bi-level programming model for resource-shared parking lots allocation M Duan, D Wu, H Liu Transportation Letters 12 (7), 501-511, 2020 | 29 | 2020 |
Background point filtering of low-channel infrastructure-based LiDAR data using a slice-based projection filtering algorithm C Lin, H Liu, D Wu, B Gong Sensors 20 (11), 3054, 2020 | 29 | 2020 |
Using Grey Relational Analysis to Evaluate Energy Consumption, CO2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors C Yuan, D Wu, H Liu International journal of environmental research and public health 14 (12), 1536, 2017 | 29 | 2017 |
中国省域交通运输全要素碳排放效率时空变化及影响因素研究 袁长伟, 张帅, 焦萍, 武大勇 资源科学 39 (4), 687-697, 2017 | 27 | 2017 |
Estimation of emissions at signalized intersections using an improved MOVES model with GPS data C Lin, X Zhou, D Wu, B Gong International Journal of Environmental Research and Public Health 16 (19), 3647, 2019 | 25 | 2019 |
An artificial neural network to identify pedestrians and vehicles from roadside 360-degree LiDAR data J Zhao, H Xu, D Wu, H Liu Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 22 | 2018 |
Development of a supplementary driver education tool for teenage drivers on rural roads W Kumfer, H Liu, D Wu, D Wei, S Sama Safety science 98, 136-144, 2017 | 22 | 2017 |
Modeling HDV and CAV mixed traffic flow on a foggy two-lane highway with cellular automata and game theory model B Gong, F Wang, C Lin, D Wu Sustainability 14 (10), 5899, 2022 | 20 | 2022 |
The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types D Wu, C Yuan, H Liu Energy & Environment 29 (4), 591-612, 2018 | 20 | 2018 |
Mobile LiDAR deployment optimization: Towards application for pavement marking stained and Worn detection C Lin, G Sun, L Tan, B Gong, D Wu IEEE Sensors Journal 22 (4), 3270-3280, 2022 | 18 | 2022 |
Building a smart work zone using roadside lidar A Darwesh, D Wu, M Le, S Saripalli 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 18 | 2021 |
Traffic flow catastrophe border identification for urban high-density area based on cusp catastrophe theory: A case study under sudden fire disaster C Lin, Y Yu, D Wu, B Gong Applied Sciences 10 (9), 3197, 2020 | 17 | 2020 |