Lightning Protection System for Light Rail Transit Case on Palembang, Indonesia

Denov, Bryan; Zoro, Reynaldo

doi:10.1109/icpere.2018.8739653

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…Direct lightning flashes are more dangerous toward railway signal towers [35,36]. On the other hand, signal operators and other outdoor workers on railways may also be victims of lightning accidents.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network

et al. 2022

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This study is oriented towards the investigation of the spatiotemporal variability of the lightning activity over the railway network in Sri Lanka using -lightning data from 1998 to 2014 that were downloaded from the database of Lightning Imaging Sensor (LIS) onboard NASA’s Tropical Rainfall Measuring Mission (TRMM). The study has also been extended to study the lightning activity over the proposed suburban railway electrification network. GIS was used to conduct an annual and seasonal analysis of the railway network, which consists of nine major railway lines, to identify vulnerable stations and segments. The average annual lightning flash density over a 1447 km-long railway network of Sri Lanka varies between 5.08–16.58 flashes/(km2 year). The railway lines run across the western and southern regions of the country have been identified as being in areas with higher lightning activity. In comparison to other railway lines, the Kelani Valley line in the Colombo district and Colombo-Maradana to Polgahawela segment of the Mainline are particularly vulnerable to lightning activity. These areas have also been recognized as regions with higher population density. The proposed 102 km long railway electrification network in Sri Lanka is also within higher population density segments, with higher lightning flash density values between 10.55–16.53 flashes/(km2⋅year). As a result, to improve the operational efficiency of the proposed electrification network, a fully coordinated lightning protection system in accordance with the findings of this study is strongly suggested.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network

et al. 2022

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“…While the leading vehicle accelerates or decelerates to move forward or halt, the leading vehicle’s influence risk factors, such as speed limit, safe distance, traffic volumes, and safety procedures, are mostly not considered. To reduce crash violations, one of the safety procedures at a level-crossing is a constant warning time (CWT) system that detects a train as it approaches a light signal, calculates its speed and distance from the crossing side, and activates traffic control devices to provide the desired warning time ( 17 ). Whereas a train speed varies, it does not accelerate or decelerate within the approach circuits once the devices have been activated.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, trains may operate at low speeds beyond 492.13 ft from the crossing side without unnecessarily causing the crossing devices to activate ( 18 ). However, these and other conventional safety procedures are inconveniences for future driving strategies ( 17 , 19 – 21 ).…”

Section: Introductionmentioning

confidence: 99%

Determinants of Influence Factors in Crashes Alongside an Intersection Using a Multinomial Logit Approach

Adane

Hou

Peng

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Traffic violations are the leading cause of fatalities and injuries, and current trends indicate that this will proceed in the foreseeable future, especially alongside intersections. This study aims to examine the determinants of crash influencing factors alongside intersections using unweighted data points collected from the Michigan counties of Wayne, Genesee, and Macomb. Firstly, the random forest method identifies the significant predictor variables. Meanwhile, six predictor variables are considered: the speed limit, distance, light condition, crash location, train involvement, and weather conditions. Secondly, the multinomial logit approach is adopted to investigate the relationships among crash violation categories. Thus, the model predicts the likelihood of crash violation outcomes: angle, head-on, rear-end, rear-end right/left turn, same sideswipe, opposite direction, and single-vehicle crash. Likewise, the results confirmed that the predictor variables of the distance between 0 and 82 ft and train involvement increased the likelihood of a crash violation when driving at a speed limit of 26–50 mph. In addition, when the speed limit is between 0 and 25 mph, the odds ratios were greater than 1.0 (4.01, 3.85), indicating statistically significant positive relationships between the same sideswipe and opposite direction violations. Therefore, speeding is risky, but the safest speed is not always the slowest speed. Thus, the results provide evidence that the predictor variables are linked to various crash violations. Consequently, the findings of this study can be used to reduce the occurrence of crash violation and improve intelligent modes of transportation by transforming large datasets into knowledge and actionable intelligence considering the future roles of driving strategies.

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“…The system ensures that when the crossing is clear, the road signal automatically recovers to green and continues cycling. Moreover, constant warning time (CWT) systems are installed to improve safety by detecting the train as it approaches, calculating its speed and distance, and activating the traffic control devices to provide the desired warning time ( 20 ). However, this only applies to the conventional stop-and-go driving strategy ( 21 ).…”

mentioning

confidence: 99%

Optimization-Based Traffic Safety Improvement Strategy for Autonomous Vehicle Driving at Level Crossings

Adane

Hou

Peng

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Railway level crossings pose a serious threat to the safety and mobility of drivers traversing them. Globally, a significant number of traffic violations occur annually at level crossings. This study proposes an optimization-based autonomous vehicle (AV) driving strategy to improve the traffic safety of AVs at level crossings. First, an optimization model considering the operational constraints is developed. The cost function of the proposed optimization-based driving strategy is the time difference between the time required by the train to reach the level crossing and the time taken by the AV to complete the whole crossing maneuver. Second, a MATLAB simulation model is developed to validate the proposed driving strategy. Simulation results show that the proposed driving strategy delivers optimized AV driving without stoppage. The comparative study also shows that the proposed method improves driving performance. For instance, when a train is 1 m away from the light signal while the AV’s initial speed is 36 km/h, the time required for the AV to reach the speed limit sign is about 0.44 s, while the time required by the train to reach the car block area is 0.13 s. Thus, the AV is forced to stop and then go after the train leaves the level crossing. Contrary to this, the proposed method allows a safe passage of the vehicle within 1.66 s without stoppage. Most importantly, the driving strategy is a collision avoidance strategy without unnecessary enforcement of stop-and-go when AVs have the chance of crossing safely. Consequently, the optimization-based driving strategy both improves traffic safety and reduces traveling time.

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Lightning Protection System for Light Rail Transit Case on Palembang, Indonesia

Cited by 7 publications

References 3 publications

Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network

Spatiotemporal Variability of Lightning Activity over the Railway Network in Sri Lanka with Special Attention to the Proposed Suburban Railway Electrification Network

Determinants of Influence Factors in Crashes Alongside an Intersection Using a Multinomial Logit Approach

Optimization-Based Traffic Safety Improvement Strategy for Autonomous Vehicle Driving at Level Crossings

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