A5064805481- Traffic control and management
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Smart Parking Systems Research
- Wheat and Barley Genetics and Pathology
- Genetic Mapping and Diversity in Plants and Animals
- Traffic and Road Safety
- Wildlife-Road Interactions and Conservation
- Autonomous Vehicle Technology and Safety
- Plant Molecular Biology Research
Tsinghua University
2019-2024
Alibaba Group (United States)
2024
Henan Agricultural University
2024
Georgia Institute of Technology
2022
University of Washington
2020
ABSTRACT Grain yield is determined mainly by grain number and weight. In this study, we identified characterized MORE GRAINS1 ( MOG1 ), a gene associated with weight in rice Oryza sativa L.), through map‐based cloning. Overexpression of increased 18.6%–22.3% under field conditions. We that MOG1, bHLH transcription factor, interacts OsbHLH107 directly activates the expression LONELY GUY LOG which encodes cytokinin‐activating enzyme cell expansion EXPANSIN‐LIKE1 EXPLA1 positively regulating...
Traffic congestion has become increasingly prevalent in many urban areas, and researchers are continuously looking into new ways to resolve this pertinent issue. Autonomous vehicles one of the technologies expected revolutionize transportation systems. To very day, there limited studies focused on impact autonomous heterogeneous traffic flow terms different driving modes (manual self-driving). near future will be running parallel with manual vehicles, drivers have characteristics attributes....
Despite the fact that significant research efforts have been made to traffic flow theory of autonomous vehicles and manual vehicles, few existing studies incorporated different modes both in their analysis. In this study, we develop a cellular automata simulation model investigate impact (autonomous car, bus, micro car) conventional (manual on characteristics flow. A new type mode, i.e., is investigated study effects vehicle mode overall capacity network. Furthermore, two types lane-changing...
Traffic incident is a big challenge for traffic safety management. The duration of incidents critical to measure the severity and essential improving management abilities. We collected data major urban roads in Tianjin, China, consecutive 2 years. Our study conducts comprehensive analysis main factors affecting incidents, such as occurrence time, road type, vehicle number injured. By using classical statistical regression model several popular machine learning techniques, we try predict...
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It is agreed that freeway has higher capacity than urban streets because of its speed limits and relatively closed traffic condition. However, the existence low-speed vehicles on freeways, as well resultant frequent lane-change overtaking behaviors other vehicles, will greatly decrease capacity. And fines have been imposed some freeways in China. In order to further clarify impact characteristics (i.e., speed, proportion, driving lanes) overall state, this paper we conduct extensive...
Traffic congestion exists widely in the underground transportation of mines, which damages mobility traffic system and brings safety hazards. Leveraging advantages connected automated vehicle (CAV) technologies, this study proposes a novel approach for efficiently organizing vehicles scheduled manner. With implementation vehicle-infrastructure cooperation, CAVs are supposed to travel with pace space-time passages that designed on each link fulfill their trips. In addition, trajectories...
Parking difficulty in urban cities, especially commercial areas, has attracted wide attention. With the help of remote parking automated vehicles (AVs), people do not waste time cruising for parking, and utilization distant facilities becomes possible. This study presents a bi-level model to determine optimal planning under coexistence AVs human-driving (HVs), where locations capacities lots is obtained upper lower-level models traffic assignments. Simulated annealing (SA) adopted level...