ARTÍCULO
TITULO

Speed Management in Rural Two-way Roads: Speed Limit Definition through Expert-based System

Nuno Gregório    
Ana Bastos Silva    
Alvaro Seco    

Resumen

Until recently, the design of road infrastructure involved mainly concerns related to the base speed value and to high levels of service. However, it is today consensually accepted that only an integrated approach is able to take into account the interests and needs of all the involved users. This vision led to different approaches on speed management along the road. During the last decade, new speed limits setting methodological approaches have emerged, based on new design models and tools, which take into account road geometric, safety and operational characteristics. This research work aimed to develop a decision-support methodology for the definition of the appropriate maximum speed in each road section, with a widespread use, applied to single carriageway roads in interurban areas, crossing different road environments with a mixed use. An analytical model able to accurately estimate that speed limit was developed based on a set of objective and easily measurable and obtainable explanatory variables characterizing the section under analysis and its surrounding areas. The resulting methodology is a Multinomial Logit model, and it was carried out using a case-study involving four different tracks of interurban roads crossing different environments. The model was estimated resorting to the use of values chosen by four traffic safety experts recorded for each road segment in both directions.

 Artículos similares

       
 
Kegong Shi, Jinjin Yan and Jinquan Yang    
Reasonable semantic partition of indoor areas can improve space utilization, optimize property management, and enhance safety and convenience. Existing algorithms for such partitions have drawbacks, such as the inability to consider semantics, slow conve... ver más

 
Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan    
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig... ver más

 
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu    
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer... ver más

 
Ce Liang, Jun Zhu, Jinbin Zhang, Qing Zhu, Jingyi Lu, Jianbo Lai and Jianlin Wu    
It is essential to establish a digital twin scene, which helps to depict the dynamically changing geographical environment accurately. Digital twins could improve the refined management level of intelligent tunnel construction; however, research on geogr... ver más

 
Ning Hu, Gangchen Sun, Feng Liu, Bai Yang and Hailing Li    
In order to study the influence of falling rock shapes on their rolling characteristics and to determine the optimization of falling rock protection design, a series of research experiments were conducted. Model experiments were designed to explore the r... ver más
Revista: Applied Sciences