Short-term Safety Performance Functions by Random Parameters Negative Binomial-Lindley model for Part-time Shoulder Use

Accident Analysis & Prevention, Год журнала: 2024, Номер 199, С. 107498 - 107498

Опубликована: Фев. 14, 2024

Язык: Английский

---

Enhancing 4th-grade Students’ Interest and Science Learning Outcomes through Differentiated Learning

Journal of Pedagogy and Education Science, Год журнала: 2025, Номер 4(01), С. 115 - 126

Опубликована: Апрель 5, 2025

The issue in science learning is the mismatch between applied model and student characteristics, along with teachers' limited pedagogical abilities. This impacts students' interest outcomes science. study aims to examine effect of differentiated on interests outcomes. research uses a quasi-experimental design two-group pretest-posttest control group approach. Data were collected through observations, questionnaire, test. Simple random sampling was used, involving two classes: IV Tablig (28 students) Amanah (29 students). Validity tested using point biserial, reliability measured KR-20. analysis included descriptive statistics hypothesis testing Paired Sample t-test Independent t-test. Results showed that after intervention, moderate category (39.29%), also (50%). indicated significant improvement outcomes, while confirmed difference experimental groups. Thus, has

Язык: Английский

---

Uncertainty-Aware Real-Time Traffic Conflict Prediction at Urban Signalized Intersections: A Lightweight Bayesian Deep Learning Framework for Robust Forecasting

Опубликована: Янв. 1, 2025

Язык: Английский

---

An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 2, 2024

One of the important applications real-time crash prediction analysis lies in field proactive traffic management, where instantaneous risk evaluation and dynamic decision-making are prerequisites. This research proposes an integrated advanced framework for Variable Speed Limits (VSL) Hard Shoulder Running (HSR) implemented freeways considering their operational periods. Statistical methods utilized to identify significant contributing factors (related traffic, roadway geometry, weather conditions) explain relationships with crashes. Time-Embedded Transformer models proposed predict likelihood events. The sensitivity false alarm rate AM peak model found be 0.76 0.27, respectively, whereas values 0.78 0.24, respectively PM model. Additionally, results indicate substantial improvements performance (i.e., increment by 7.04% 8.33% models, respectively) after incorporating general safety condition a freeway segment as input feature while estimating models. Practitioners policymakers could apply this method obtain more accurate estimation, precursors, dynamically update algorithms, enhance aspects operating management strategies on freeways.

Язык: Английский

---

Can we realize seamless traffic safety at smart intersections by predicting and preventing impending crashes?

Accident Analysis & Prevention, Год журнала: 2024, Номер 211, С. 107908 - 107908

Опубликована: Дек. 31, 2024

Язык: Английский

---