Evaluating capacity of transportation operations with highway travel time reliability

Pennetti, Cody A.; Fontaine, Michael D.; Jun, Jungwook; Lambert, James H.

doi:10.1016/j.ress.2020.107126

Cited by 17 publications

(2 citation statements)

References 40 publications

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“…e general objective is to maintain the stability of the railway network and make it more efficient and secure. In this context, various research projects were conducted on the monitoring of transportation systems to save time and improve the quality of rail service [3][4][5][6][7][8][9]. Among many related research studies, Bennet et al [10] propose an identification of the critical factors that should be considered in the design of a wireless sensor network, including the availability of electrical power and communications networks in railway transport.…”

Section: State Of the Artmentioning

confidence: 99%

A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network

M’hala

2021

Journal of Advanced Transportation

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This paper proposes a monitoring approach based on stochastic fuzzy Petri nets (SFPNs) for railway transport networks. In railway transport, the time factor is a critical parameter as it includes constraints to avoid overlaps, delays, and collisions between trains. The temporal uncertainties and constraints that may arise on the railway network may degrade the planned schedules and consequently affect the availability of the transportation system. This leads to many problems in the decision and optimization of the railway transport systems. In this context, we propose a new fuzzy stochastic Petri nets for monitoring (SFPNM). The main goal of the proposed supervision approach is to allow an early detection of traffic disturbance to avoid catastrophic scenarios and preserve stability and security of the studied railway networks. Finally, to demonstrate the effectiveness and accuracy of the approach, an application to the case study of the Tunisian railway network is outlined.

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Section: State Of the Artmentioning

confidence: 99%

A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network

M’hala

2021

Journal of Advanced Transportation

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“…Additionally, the national transport systems are at increased risk of disruptions arising from rapid urbanization and global climate change (Morelli & Cunha, 2021). In order to design risk mitigation strategies, many disasterrelated concepts have been utilized to study the performance of transport systems against disruptions, including reliability, risk, vulnerability, and resilience (Cambridge Systematics Inc, 2013;Faturechi & Miller-Hooks, 2015;Kramarz et al, 2022;Mondschein & Taylor, 2017;National Academies of Sciences Engineering & Medicine, 2014;Pennetti et al, 2020). This article takes a frequently used measure "vulnerability", which is usually quantified as the functionality drop under a given disruptive event (Boakye et al, 2022;Hong et al, 2015), as an example for the disaster performance analysis of the national transport systems, as it is regarded as a key facet of risk and resilience (Aven, 2015(Aven, , 2016Faturechi & Miller-Hooks, 2015), where risk typically measures the probability of an event arising and its corresponding effects (Choi, 2021;Xu & Lambert, 2015), and resilience captures the capacity of a system to withstand internal/external disruptions and rapidly recover from them (Kurth et al, 2020;Quenum et al, 2021;Rand et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

An approach for accessibility assessment and vulnerability analysis of national multimodal transport systems

et al. 2023

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A series of ambitious accessibility‐oriented policies have been launched in the world, which center around improving accessibility via the national multimodal transport systems including road, airline, and railway. The national multimodal transport accessibility assessment is one of the “basic” analyses for the design and implementation of these policies, whereas existing national‐scale accessibility studies either focus on single‐mode or two‐mode transport or ignore the schedule‐dependent nature of railway and airline. This article models the integrated road, railway, airline, and walking transport as a four‐layer network with the consideration of their interdependencies. An algorithm is then developed to accurately assess the travel time‐based accessibility on the four‐layer network with the consideration of the daily schedule of trains and flights. The proposed approach is applied to map accessibility to 363 cities in mainland China and analyze the optimal travel modes. In addition, this article investigates the travel time‐based vulnerability of the national multimodal transport system in mainland China under the extreme storm recently occurred in Zhengzhou (July 2021). The findings in this work provide insightful suggestions for transport planners to design the national multimodal transport systems and for stakeholders to schedule travels.

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Artificial Intelligence and Data in Civil Engineering

Rustell

2022

Innovation in Construction

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Evaluating capacity of transportation operations with highway travel time reliability

Cited by 17 publications

References 40 publications

A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network

A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network

An approach for accessibility assessment and vulnerability analysis of national multimodal transport systems

Artificial Intelligence and Data in Civil Engineering

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