Management of road tunnels: Construction, maintenance and lighting costs

Moretti, Laura; Cantisani, Giuseppe; Mascio, Paola Di

doi:10.1016/j.tust.2015.10.027

Cited by 102 publications

(46 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In general, an adequate PMS should incorporate a set of tools able to provide a network-level inventory of pavement surface distress and conditions and network management tools, including the prediction of pavement condition, budget planning, inspection scheduling and economic analysis, for determining the most cost-effective maintenance and repair strategy considering the Life-Cycle Cost Analysis (LCCA) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

Loprencipe

Pantuso

2017

Coatings

View full text Add to dashboard Cite

Abstract:In this paper, a simplified procedure for the assessment of pavement structural integrity and the level of service for urban road surfaces is presented. A sample of 109 Asphalt Concrete (AC) urban pavements of an Italian road network was considered to validate the methodology. As part of this research, the most recurrent defects, those never encountered and those not defined with respect to the list collected in the ASTM D6433 have been determined by statistical analysis. The goal of this research is the improvement of the ASTM D6433 Distress Identification Catalogue to be adapted to urban road surfaces. The presented methodology includes the implementation of a Visual Basic for Application (VBA) language-based program for the computerization of Pavement Condition Index (PCI) calculation with interpolation by the parametric cubic spline of all of the density/deduct value curves of ASTM D6433 distress types. Also, two new distress definitions (for manholes and for tree roots) and new density/deduct curve values were proposed to achieve a new distress identification manual for urban road pavements. To validate the presented methodology, for the 109 urban pavements considered, the PCI was calculated using the new distress catalogue and using the ASTM D6433 implemented on PAVER TM . The results of the linear regression between them and their statistical parameters are presented in this paper. The comparison of the results shows that the proposed method is suitable for the identification and assessment of observed distress in urban pavement surfaces at the PCI-based scale.

show abstract

Section: Introductionmentioning

confidence: 99%

A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

Loprencipe

Pantuso

2017

Coatings

View full text Add to dashboard Cite

show abstract

“…The CIE Publ. 88 [27] and the "Guidelines for Design of Lighting of Highway Tunnels (China, JTG-2014)" [31] standards divide the longitudinal section of the tunnel into five zones with different levels of demand luminance [32]: Access zone (L acc ); Threshold zone (L th ); Transition zone (L tr ); Interior zone (L in ), and; Exit zone (L ex ).…”

Section: Demand Luminance For Tunnel Interiormentioning

confidence: 99%

An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume

Qin

Dong

et al. 2017

Sustainability

View full text Add to dashboard Cite

This paper presents an intelligent control method for tunnel lighting based on traffic volume. The monitoring data for a period of 12 days of the Chibai tunnel (located in the Jilin province of China) under different weather conditions was selected as the case study. The data used in the analysis included traffic volume, vehicle speed, the time of light-emitting diodes (LEDs) operating at their lowest luminance level, and the average time interval between two consecutive vehicles. The traffic flow analysis indicated that the tunnel has a relatively heavy traffic volume in the daytime (7:00 a.m. to 6:00 p.m.) and a relatively low traffic volume in the nighttime (12:00 a.m. to 6:00 a.m. and 7:00 p.m. to 12:00 a.m.). Thus, we propose a tunnel lighting control method that distinguishes day and night operational strategies. In the daytime, the luminance of tunnel zones depends on tunnel exterior luminance, traffic volume and vehicle speed regardless of vehicle presence. In the night, the "vehicle in, light brightens; vehicle out, light darkens" control method is adopted for the tunnel luminance, which depends on vehicle presence.

show abstract

“…Moreover, high-quality outdoor lighting is an essential service for a city; it has economic benefits for municipalities, engenders a feeling of safety for inhabitants, aids the vision of drivers and pedestrians and contributes to energy efficiency [14,16,17]. Therefore, lighting optimization is an important field of study in modern society and several authors have carried out extensive research on this issue [2,14,[16][17][18][19]. Nardelli et al [2] evaluated the potential of LED technology and their results showed that LED light sources have an extensive lifecycle, good luminous efficiency and superior color rendering index, although the acquisition costs are still high.…”

Section: Introductionmentioning

confidence: 99%

“…They found that the Levenberg-Marquardt back-propagation algorithm was the best at minimizing the error. Di Mascio et al [19] studied the influence of the type of road pavement on maintenance costs of the lighting system in a tunnel, concluding that the required levels of illuminance are lower for concrete pavements to guarantee the same luminance values to offer the same luminance.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques

2018

View full text Add to dashboard Cite

This document addresses the development of a novel methodology to identify the actual maintenance factor of the luminaires of an outdoor lighting installation in order to assess their lighting performance. The method is based on the combined use of Radiance, a free and open-source tool, for the modeling and simulation of lighting scenes, and GenOpt, a generic optimization program, for the calibration of the model. The application of this methodology allows the quantification of the deterioration of the road lighting system and the identification of luminaires that show irregularities in their operation. Values lower than 9% for the error confirm that this research can contribute to the management of street lighting by assessing real road conditions.

show abstract

Management of road tunnels: Construction, maintenance and lighting costs

Cited by 102 publications

References 14 publications

A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

An Intelligent Luminance Control Method for Tunnel Lighting Based on Traffic Volume

Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques

Contact Info

Product

Resources

About