Signalized intersections often cause congestion. Factors contributing to congestion include the high proportion of intersections operating beyond their capacity and malfunctioning traffic signals. This study aims to develop a sustainable model for signalized intersections in border areas. Primary data were collected by calculating the number of motorized vehicles at each intersection and obtaining expert opinions through focus group discussions (FGDs) to determine the relevant attributes and dimensions. The results from the five signalized intersections show that the Salabenda intersection achieved the highest technological dimension score (72.33%), indicating that technological sustainability is well developed and measurable. The Semplak intersection also demonstrated a strong technological dimension (62.36%), reflecting the implementation of measurable traffic management technology. The Bubulak intersection obtained a social dimension score of 57.71%, indicating that social sustainability, including accessibility and public service aspects, is relatively well implemented. The POMAD intersection achieved an ecological dimension score of 59.44%, showing that environmental considerations are becoming more prominent in traffic management. In the institutional dimension, the Bubulak intersection scored 50.00%, indicating that institutional coordination and management are moderately measurable. Meanwhile, the Ciawi intersection obtained the lowest score in the economic dimension (42.97%), suggesting that economic sustainability still requires improvement. The new simulation model produced four scenarios: sustaining intersection functions through technology, collaborative management of transportation infrastructure for both road and rail systems, and sustainable accessibility control based on the characteristics of border areas. Strengthening the institutional dimension, including interregional cooperation, requires more effective policy and decision-making processes. The novelty of this research lies in the system model node (SYSMODE) concept. This single-point system concept provides benefits across all five sustainability dimensions. The implementation of this five-dimensional model at each intersection must be carried out properly and in a controlled manner. The proposed model is expected to improve the performance of signalized intersections for both road and rail transportation, supported by complete and measurable infrastructure facilities in border areas.

Flexible pavements are essential transportation assets, and their deterioration under mixed traffic conditions creates significant maintenance, safety, and economic challenges. Although traffic loading is widely recognized as being associated with pavement performance, relatively few studies have developed locally calibrated and easily interpretable regression models that quantify the contribution of different vehicle classes to pavement condition at the corridor level. This study applies multiple linear regression (MLR) to analyze the relationship between vehicle composition and the Pavement Condition Index (PCI) along a 3.5 km road section in Purwakarta, Indonesia, consisting of 35 pavement segments. Primary data were collected through pavement distress surveys and traffic observations categorized into light, medium, and heavy vehicles. The surveyed corridor exhibited a mean PCI of 61.89, indicating generally good pavement condition, although variability in distress severity was observed, with rutting and potholes as dominant types. The MLR model explained 79.4% of PCI variability ($R^2$ = 0.794, $p <$ 0.001). Heavy vehicles exhibited the strongest statistically significant negative association with PCI, followed by medium vehicles, whereas light vehicles were not statistically significant after adjustment for the remaining traffic categories. These findings indicate that traffic composition, particularly heavy-vehicle traffic, provides valuable information for pavement maintenance planning.

The aviation industry plays a crucial role in the development of international trade, thanks to its positive impact on economic growth, social development, and environmental sustainability. Although there are various metrics for assessing an airport’s economic benefits, evaluating the operational performance of airports is a key and challenging issue due to the complexity of the issues. This study was prepared to measure the operational performance of airports in Turkey and to demonstrate the applicability of the proposed multi-criteria decision-making (MCDM) model. The dataset used in the analysis was obtained as secondary data from the General Directorate of State Airports Authority (DHMİ) source. The application analysis considered 5 criteria and 52 alternatives. The Pythagorean fuzzy analytic hierarchy process (PFAHP) was employed to determine the criterion weights, and the combined compromise solution (CoCoSo) method was utilized to rank the airports based on their performance. Sensitivity analysis has verified the consistency and stability of the model used to assess the Turkish airports. Upon examination of the findings, it was determined that the most important criterion was $\mathrm{C}_3$ “Number of Domestic Passengers,” and it was concluded that $\mathrm{A}_3$ “Istanbul” was the highest rated alternative, while $\mathrm{A}_{52}$ “Siirt” was the lowest rated. The model we propose demonstrates its applicability for measuring the operational capacity of airports in Turkey. This study makes a methodological contribution to the evaluation processes of operational performance in airports.

As a feeder port for the Eastern Indonesia region, Anggrek Port is expected to reduce logistics frictions and stimulate regional growth in Gorontalo Province. This study examines how port infrastructure performance influences logistics performance and economic growth by employing a cross-sectional survey ($n$ = 150) involving managers, service providers, and users, analyzed using PLS-SEM (SmartPLS 4.0). The reflective measurement model meets conventional reliability and validity thresholds, and the structural relationships were assessed through bootstrapping. The findings indicate a strong and significant direct effect of port infrastructure performance on economic growth ($\beta$ = 0.679, $p <$ 0.00; $R^2$ = 0.574), whereas no significant effects were identified between infrastructure and logistics performance ($\beta$ = 0.236, $p$ = 0.256) or between logistics performance and economic growth ($\beta$ = 0.192, $p$ = 0.375). These results underscore that the dynamics linking port infrastructure, logistics performance, and economic growth cannot be fully understood through a purely linear structural approach. Based on the observed relational patterns, the policy implications highlight that enhancements to Anggrek Port’s physical infrastructure currently generate more immediate and substantial economic impacts than improvements to its logistical systems.

Wrong-way driving (WWD) is one of the most dangerous traffic behaviors, which mainly causes head-on collisions resulting in death. Traditional methods of detection, such as loop detectors and manual surveillance, are often inadequate due to high costs, limited coverage, and delayed response times. In this paper, we present a new real-time computer vision-based framework for automatic detection of WWD instances. The system uses the latest You Only Look Once version 9 (YOLOv9) object detection model for strong and fast vehicle identification. Additionally, a multi-object tracking algorithm is used, which allows the system to keep track of the vehicles’ identities across the video frames. The fundamental part of our approach is the arrangement of consecutive virtual detection zones on the road; a vehicle is accused of a WWD violation if it moves through these zones in the wrong order. Our experimental results show that the framework can be a practical and efficient method for obtaining high accuracy and real-time performance. This system presents great promise for practical use after conducting additional experiments with longitudinal and multi-camera models. Besides, it is a cheap and handy method of making roads safer on highways and city streets.