Influence of traffic delay produced during maintenance activities on the life cycle assessment of a road

Lizasoain-Arteaga, Esther; Indacoechea-Vega, Irune; Alonso, Borja; Castro‐Fresno, Daniel

doi:10.1016/j.jclepro.2020.120050

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Sidewall separation is a type of damage that separates the sidewall rubber and the casing. This condition can occur due to excessive pressure due to load (overloading) [17], [18], [19], excessive vehicle speed (Over speeding), and speeding up when cornering (Fast cornering) [13], [20]. In addition to this, the condition of the material on the road also affects the performance of the tires and the type of damage to the tires.…”

Section: Resultsmentioning

confidence: 99%

“…If the actual HM is smaller than the HM KPI, it is necessary to evaluate the scrap tire data further [12]. Followed by tire damage analysis using supporting data consisting of distance, cycle time, speed, and payload to get the actual TKPH value of the tire [13], [14]. The TKPH data were analyzed and modeled via the ARIMA technique within the context of time series analysis.…”

Section: Methodsmentioning

confidence: 99%

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Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Sari¹,

Seto²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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To expedite mining production activities, the condition of the transportation equipment of fuel and spare parts must be ready because the loss of time due to refueling and waiting for spare parts can reduce the Physical Availability value of the dump truck. In this study, the type of tire used as the research object is a tire measuring 33.00-51. The initial identification of tire conditions showed that the Hours meter average was smaller than the Key Performance Indicator (KPI) Hours meter, which was 2719 HM. The type of tire damage that dominates is Sidewall Separation, with a damage percentage of 54%. This study aims to predict the value of TKPH with ten independent variables that exist in the activity of the transportation cycle. The method used to predict is the Multiple Regression and ARIMA statistical methods. From the results of Multiple Regression using the SPSS application, three models are produced, each with different independent variables. As for ARIMA seen from the choleogram of the Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF), the number of lags = 1, so ARIMA models that can be applied may be (1,0,1) and (1,1,0). The results of the study prove that the prediction model that is close to this is the Multiple Regression Model 3 where the Mean Absolute Deviation (MAD) value is 69.16, the Mean Absolute Prediction Error (MAPE) is 66.07, and the R-square value is 52.41%.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Sari¹,

Seto²

2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…For example, in situations where there is only a small amount of data available, Yu and Lu [19] and Chong and Wang [20] roughly estimated the extra CO 2 emissions produced from traffic delay by a VKT-based approach based on average speed/ vehicle miles travelled data and constant emission factor, without considering queue and speed change near the work zone. Lizasoain-Arteaga et al [21] evaluated the performance of macrosimulation method and microsimulation method for estimation of work zone traffic delay-related 6 pollutants (CO 2 , CO, NO X , CH 4 , C 6 H 6 , NH 3 , VOC, and PM 2. 5 ).…”

Section: Introductionmentioning

confidence: 99%

The Influence of Work Zone Management on User Carbon Dioxide Emissions in Life Cycle Assessment on Highway Pavement Maintenance

Liu

Zhu

Wang

et al. 2022

Advances in Meteorology

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The higher contribution of traffic delay to environmental impacts is urging the highway agencies to take work zone management into the maintenance schemes decision-making. Aiming to understand the role of work zone management in user CO2 emissions reduction, this paper firstly developed a practical methodological framework of traffic delay-related CO2 emissions caused by highway maintenance based on a popular life cycle user cost analysis approach in regard of the microscopic vehicle operation analysis. The method was applied in an actual freeway flexible pavement with 15-year design life in Shaanxi Province, China, covering three types of preventive maintenance, correction maintenance, and rehabilitation. In addition, the impacts of key inputs of proposed method on work zone user CO2 emissions results were checked. The results show that traffic delay attributes to 29.4% of total CO2 emissions of the life cycle of highway pavement maintenance, and 51.8% of work zone user CO2 emissions result from preventive maintenance, especially from micro vehicle operations including speed change and queue near work zone (62% of total work zone user CO2 emissions). The work zone management alternative strategies related to less traffic volume or higher highway capacity including vehicle type limitation and the limited work zone speed have an advantage in reducing the work zone CO2 emissions over changing work zone length or work zone timing. The findings in this paper may present a useful tool and reference for robustly supporting the decision-making on highway maintenance carbon mitigation in work zone traffic.

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“…The increasing need for tools follows the increasing need for coal production as a means of transportation to assist production activities at the mine, but they also produce some environmental impacts throughout its life cycle due to the high consumption of energy and natural resources [1]. With this condition, fuel needs automatically become the main thing to drive the units that will work in the field.…”

Section: Introductionmentioning

confidence: 99%

Fuel consumption efficiency regarding the road quality in the coal mine: a case study

Sari¹

2021

j. sist. manaj. ind.

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Fuel requirements have a direct impact on mining activities. The operator's habits influence the amount of fuel used in operating the equipment, the mine road's slope, and the distance predetermined in the mine design planning. Adjustment Fuel Consumption Actual (AFCA) is the fuel cost, which is influenced by the fuel price, distance, and condition of the mining road billed for overburden and coal mining activities carried out by the contractor. The research methodology uses off-site and on-site analysis. Off-site analysis can be carried out the highest 'Fuel Ratio' owned by the machine based on its specifications and operational activities to find out how much fuel consumption is needed to produce the amount of production per hour (liters/bcm). Meanwhile, it needs to be correlated with the mine road's condition, including the slope of the mine road (grade). This study aims to determine the relationship between road grade and fuel consumption by comparing road grade improvement efforts with cost-benefit analysis.

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Influence of traffic delay produced during maintenance activities on the life cycle assessment of a road

Cited by 7 publications

References 21 publications

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

Tonne Kilometre Per Hour (TKPH) Prediction for Lifetime Tire Estimate Using Statistical Analysis: A Case Study at Coal Mine

The Influence of Work Zone Management on User Carbon Dioxide Emissions in Life Cycle Assessment on Highway Pavement Maintenance

Fuel consumption efficiency regarding the road quality in the coal mine: a case study

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