A5050291189- Traffic control and management
- Transportation and Mobility Innovations
- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Municipal Solid Waste Management
- Traffic Prediction and Management Techniques
- Chromium effects and bioremediation
- Heavy metals in environment
Tsinghua University
2018-2025
State Key Laboratory of Vehicle NVH and Safety Technology
2024
University Town of Shenzhen
2018
Evaluating the economic benefits of traffic optimization from connected and autonomous vehicles (CAVs) relevant organization methods is significant, which will help to put forward suggestions for policymakers promote application CAVs. The impacts related CAVs with level 2 automation (L2 CAVs) on efficiency energy consumption expressways are analyzed in this paper. Average travel time actual road capacity behalf while average electric used compute consumption. corresponding consist...
An L3 smart vehicle (L3 SV) could behave differently from human-driven vehicles due to its intelligent configuration and decision-making logic, may consequently exert influences on traffic flow. In order clarify the SV’s impacts accelerate SV implementation, this paper conducted an evaluation efficiency energy consumption of SVs based a microscopic simulation. Taking Beijing as case, relevant economic benefits were calculated with help previously proposed model. Before modeling SVs,...
The development of the vehicle-road cooperative intelligence can effectively resolve current technical impediment and cost quandary associated with high-level autonomous driving. Nevertheless, intelligent infrastructure entails initial deployment costs ongoing energy consumption maintenance costs, necessitating a comprehensive quantitative analysis corresponding changes in costs. evaluation model for system is designed this paper, considering layout scheme different road types within...
Intelligent vehicles are expected to yield significant benefits in traffic safety, efficiency, energy conservation, and carbon emission reduction. As the collaborative intelligence technology route becomes an industry consensus, intelligent will generate greater social under empowerment of roadside infrastructure. At same time, introduction infrastructure also adds corresponding deployment costs operation maintenance costs. Currently, assessments comprehensive cost inputs associated with...
The vehicle-road collaborative intelligence approach has become an industry consensus. It can efficiently tackle the technical hurdles and reduce performance requirements costs of on-board perception computing devices. There is a need for in-depth quantitative studies to optimize allocation intelligent capabilities intelligence. However, current research tends focus more on qualitative analysis, there little redistribution vehicle roadside capabilities. In this paper, we present model...