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1. The Traffic Safety Assessment Model for Mixed Urban Traffic Based on Driving Safety Field and ICVs NSTL国家科技图书文献中心

Renjie Wang |  Jing Cheng -  《Internet Technology Letters》 - 2025,8(2) - e653.1~e653.8 - 共8页

摘要:) technologies. An intelligent connectivity traffic safety |  associated with mixed traffic scenarios in urban areas and |  assessment model for mixed urban traffic based on the ICVs |  is proposed. First, this paper proposes the traffic |  safety assessment model based on the driving safety
关键词: internet of things |  learning algorithm |  mixed traffic |  safety field theory |  traffic factors |  traffic safety assessment model

2. Evaluation system construction of highway traffic safety facilities based on design objectives NSTL国家科技图书文献中心

Weibo Zhai |  Wei Tong -  《Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024)》 -  International Conference on Intelligent Traffic Systems and Smart City - 2025, - 1342205.1~1342205.7 - 共7页

摘要: construction goal of highway traffic safety facilities in |  China is not clear, according to the traffic safety |  influencing factors, the traffic safety facilities |  traffic safety facilities influencing factors model |  proposal, for highway traffic safety facilities system
关键词: Highway |  Traffic safety facilities |  Design objective |  Comprehensive evaluation

3. Multi-Factor Roadside Unit Deployment Optimization Considering Traffic Safety Risks NSTL国家科技图书文献中心

Sinan Zhang |  Shaohua Wang... -  《IEEE transactions on intelligent transportation systems》 - 2025,26(2) - 2252~2265 - 共14页

摘要: constraints, road coverage, and traffic safety risks. This |  traffic safety risks within the RSU coverage range |  method in vehicle coverage, traffic safety risk |  vehicular density. In addition, the impact of traffic |  safety risks on RSU optimization is not considered. To
关键词: Safety |  Costs |  Roads |  Optimization |  Accidents |  Trajectory |  Transportation |  Quality of service |  Data models |  Clustering algorithms

4. AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety NSTL国家科技图书文献中心

Ronghui Zhang |  Shangyu Yang... -  《IEEE transactions on intelligent transportation systems》 - 2025,26(1) - 497~516 - 共20页

摘要: research in road traffic safety. The source code and |  detection and traffic safety improvement. AGSENet | Road ponding, a prevalent traffic hazard | , poses a serious threat to road safety by causing |  vehicles to lose control and leading to accidents ranging
关键词: Roads |  Feature extraction |  Reflection |  Support vector machines |  Convolutional neural networks |  Accuracy |  Accidents |  Surface impedance |  Deep learning |  Decoding

5. Can Autonomous Vehicles Enhance Safety in Heterogeneous Disordered Traffic Conditions? A Simulation‑based Exploratory Study NSTL国家科技图书文献中心

Rajkumari Fulwadiya |  Udit Jain... -  《International journal of intelligent transportation systems research》 - 2025,23(1) - 165~174 - 共10页

摘要: safety in heterogeneous disordered traffic (HDT |  a solution to various traffic externalities | , including safety concerns such as crashes, has been |  AVs plying in homogeneous traffic conditions |  conducting a comprehensive safety analysis of AVs on safety
关键词: Autonomous vehicles |  Traffic Safety |  Heterogeneous Disordered Traffic Conditions |  Post Encroachment Time

6. Safety evaluation for mixed traffic flow of CAVs with different automation and connection levels NSTL国家科技图书文献中心

Yangsheng Jiang |  Hongwei Cong... -  《Expert Systems with Application》 - 2025,261(Feb.) - 125561.1~125561.22 - 共22页

摘要: posing severe challenges to mixed traffic flow safety |  their combined effects on mixed traffic flow safety |  traffic safety in a non-connected environment, whereas |  medium and high automation decreases traffic safety | -connected vehicles enhance traffic safety in a low
关键词: Safety evaluation |  Connected automated vehicles |  Levels of automation |  Levels of connection |  Time delay

7. Research on countermeasure of taxi driver's aggressive driving behavior based on text features extraction NSTL国家科技图书文献中心

Sizhe Li |  Wenyi Yan... -  《Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024)》 -  International Conference on Intelligent Traffic Systems and Smart City - 2025, - 134221Q.1~134221Q.7 - 共7页

摘要: level of road traffic safety by improving driver | Aggressive driving is a traffic safety issue |  traffic scenes and key traffic nodes, and is closely |  traffic environment. Therefore, the study puts forward a |  safety awareness and optimizing driving behavior. It
关键词: Aggressive driving |  Traffic safety |  Driving behavior

8. Evaluating Indian Provincial Road Safety Performance Based on Traffic Crashes NSTL国家科技图书文献中心

Anjana Ramesh |  Riya Thomas... -  《Transportation in Developing Economies》 - 2025,11(1) - 13.1~13.12 - 共12页

摘要: enhance traffic safety are critical for the countrys |  highlights the need to evaluate road safety in an emerging |  Decision-Making Units (DMUs) based on reported traffic |  minimize traffic fatalities and injuries per 10,000 | The significant increase in road crashes
关键词: Road safety |  Crash data |  Data envelopment analysis |  Ranking

9. Examining infrastructure and child pedestrian safety in Bhopal’s school zones NSTL国家科技图书文献中心

Neelima C. Vijay |  Siddhartha Rokade... -  《Innovative Infrastructure Solutions》 - 2025,10(3) - 100.1~100.20 - 共20页

摘要: traffic safety helps in designing targeted interventions |  pedestrians perception of traffic safety near school zones |  of factors influencing the traffic safety of child | Traffic accidents are identified as a leading |  pedestrian safety demand a mul-tifaceted approach that goes
关键词: Child pedestrians |  Perception |  Traffic safety |  School zones |  Infrastructure

10. Adaptive Cruise Control under threat: A stochastic active safety analysis of sensing attacks in mixed traffic NSTL国家科技图书文献中心

Li Z. |  Zhou Y.... -  《Accident Analysis and Prevention》 - 2025,209(Jan.) - 1.1~1.13 - 共13页

摘要: us to comprehensively analyze traffic safety risks |  highlight profound vulnerabilities in traffic safety from | © 2024 Elsevier LtdMixed traffic environments | -fidelity framework to simulate mixed traffic. This allows |  enabled by surrogate safety measures, under various
关键词: Adaptive Cruise Control |  Cyberattack |  Mixed traffic |  Onboard sensor |  Stochastic behavior
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