A5061305651- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Advanced Neural Network Applications
- Transportation and Mobility Innovations
- Sustainable Supply Chain Management
- Energy and Environment Impacts
- Energy, Environment, and Transportation Policies
- Electric Vehicles and Infrastructure
- Green IT and Sustainability
- Video Surveillance and Tracking Methods
- Structural Analysis and Optimization
- Strategic Planning and Analysis
- Evacuation and Crowd Dynamics
- Advanced Sensor and Energy Harvesting Materials
- Recycling and Waste Management Techniques
- Information and Cyber Security
- Traffic Prediction and Management Techniques
- Traffic control and management
- Remote Sensing and LiDAR Applications
- Environmental Sustainability in Business
- Supply Chain and Inventory Management
- Advanced Materials and Mechanics
- Vehicle License Plate Recognition
- Environmental Sustainability and Technology
- Human Mobility and Location-Based Analysis
Chang'an University
2020-2025
New York University
2024
Jiangsu University of Technology
2024
South China Normal University
2021
The emergence of the digital economy has accelerated transformation, and digitalization shown new potential solutions to increasingly severe environmental challenges. Based on resource-based view, dynamic capability synergy effect upper echelons theory, connotation measurement dimensions green supply chain collaboration are defined improved. Then, a theoretical model "digital capability-green collaboration-green innovation performance" is constructed. influence mechanism transmission process...
Lane line detection is a fundamental and critical task for geographic information perception of driverless advanced assisted driving. However, the traditional lane method relies on manual adjustment parameters, has poor universality, heavy workload, robustness. Most deep learning-based methods make it difficult to effectively balance accuracy efficiency. To improve comprehensive ability in natural traffic environment, algorithm based mixed-attention mechanism residual network (ResNet) row...
In order to solve the problems of traffic object detection, fuzzification, and simplification in real environment, an automatic detection classification algorithm for roads, vehicles, pedestrians with multiple objects under same framework is proposed. We construct final V view through a considerate U-V method, which determines location horizon initial contour road. Road results are obtained error label reclassification, omitting point reassignment, so an. propose peripheral envelope...
Abstract Based on the theoretical model of Miura origami, this paper uses Python and Abaqus software to optimize design multi-material positions at crease origami by using a genetic algorithm. Firstly, parametric modeling is carried out; then linear cell meshing performed crease, polylactic acid (PLA) thermoplastic polyurethane (TPU) are selected as optimized materials; finally, position distribution algorithm according target value, search for optimal materials. Therefore, angular...
The closed-loop supply chain (CLSC) focusing on product recycling is getting more and attention. question of how to motivate CLSC participants implement effectively has come into focus. We study the optimal strategy a two-echelon under different incentive mechanisms, characterize return rate in form state equation for its dynamic behavior construct model. Subsequently, we discuss two incentives—the cooperative promotion wholesale price discount incentive—based no-incentive game investigate...
The transportation sector has always been dedicated to energy conservation and emission reduction. In an effort optimize the structure promote reduction of sector, government implemented numerous intervention policies. This paper aims explore how implementation objects strategy interact with one another. Based on price game model, fuzzy triangular variables are used construct duopoly competition model under different situations subsidy, carbon quota, tax. According results, (1) Subsidy...
The Internet of Things (IoT) has brought many benefits to the development industries, from manufacturing services. In context IoT, network freight transport platform is equivalent an integrator, integrating scattered resources such as carriers and shippers in supply chain, providing a solution, improving use efficiency vehicles, effectively reducing logistics cost, creating value for bilateral customers. purpose this research explain influence mechanism demand subjects’ participation...
In order to achieve the purpose of improving travel efficiency commuters in periphery city, expanding beneficiary groups urban rail transit, and alleviating road traffic congestion, when planning setting up HOV it is necessary analyze feasibility lane from both demand conditions conditions. This paper combines machine learning construct a decision-making evaluation model for studies optimal layout algorithm lanes service transit commuter chain. The setting, planning, are two-way interactive...
Along with the social progress and economies soaring, passengers have generated more personalized travel demands that Traditional Bus (TB) could not satisfy any longer. To seek a way, Customized (CB) was feasible management innovation. In this study, empirical data of TBs CBs analyzed using bus roundtrips between Changchun Tonghua in Jilin. Measurement results showed were successful on round-trip an upward trend, from had customized than Changchun, especially August, obvious weekly...
This study investigates how investors can strengthen their value investment by applying the SWOT analysis in Start-up company context. By conducting a constructive with two cases, we develop construction for qualitative and quantitative reference information help of literature on Start-ups investment, data CB insights.com. comprises funding data, investors, web traffic, news articles, patent regulatory filings. also associates each element to internal factor assessment external accordingly...