Impact Analysis of Energy and Emissions in Lane-Closure-Free Road Inspections

Junseo Lee, Junhwi Cho, Shanelle Aira Rodrigazo, Kyung-Sun Lee and Jaeheum Yeon ()
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Junseo Lee: Department of Smart Industrial Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Junhwi Cho: Interdisciplinary Program in Earth Environmental System Science & Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Shanelle Aira Rodrigazo: Interdisciplinary Program in Earth Environmental System Science & Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Kyung-Sun Lee: Department of Smart Industrial Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea
Jaeheum Yeon: Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 24341, Gangwon, Republic of Korea

Energies, 2025, vol. 18, issue 21, 1-17

Abstract: Road damage threatens driving safety, making timely maintenance essential. However, conventional repairs require on-site personnel, necessitating traffic control and lane closures. These restrictions cause traffic congestion, leading to unnecessary idling and repeated acceleration and deceleration of vehicles, reducing fuel efficiency and increasing energy consumption. To overcome these limitations, this study proposes a method for performing inspections without lane closures, utilizing machine vision and AI-based damage detection technology. Furthermore, to quantitatively verify the effectiveness of the proposed method, an energy consumption analysis is conducted using the traffic simulator simulation of urban mobility (SUMO) and the vehicle energy simulator future automotive systems technology simulator (FASTSim). Results show lane closures reduced average speed by 25% and increased driving time by over 40%, adding 5044.73 L of fuel for gasoline vehicles and 3208.63 L for diesel vehicles, with CO 2 emissions rising by 11.86 and 8.60 t, respectively. In contrast, the proposed method had minimal traffic impact, with less than 0.1% increases in fuel use and emissions. This approach enables simultaneous multi-lane inspection, improving maintenance efficiency and reducing social costs and energy waste caused by traffic control.

Keywords: road damage; closure-free inspection; DETR; SUMO; FASTSim; energy consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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