Application of a Boltzmann-entropy-like concept in an agent-based multilane traffic model

Sugihakim, Ryan; Alatas, Husin

doi:10.1016/j.physleta.2015.09.048

Cited by 12 publications

(3 citation statements)

References 35 publications

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“…Therefore, it is possible to observe the parameters of the behavior of each individual vehicle as well as their interactions with other vehicles. It also provides the possibility to experiment with many alternatives and to derive results in real time [3]. In order to simulate the effect of urban flooding on traffic, the urban flood model is firstly driven to obtain continuous changes of water depth under different situations, and the traffic-simulated model identifies these changes and generates the corresponding responses for the traffic.…”

Section: Agent-based Modelmentioning

confidence: 99%

Indirect Damage of Urban Flooding: Investigation of Flood-Induced Traffic Congestion Using Dynamic Modeling

Zhu

Dai

Deng

et al. 2018

Water

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In many countries, industrialization has led to rapid urbanization. Increased frequency of urban flooding is one consequence of the expansion of urban areas which can seriously affect the productivity and livelihoods of urban residents. Therefore, it is of vital importance to study the effects of rainfall and urban flooding on traffic congestion and driver behavior. In this study, a comprehensive method to analyze the influence of urban flooding on traffic congestion was developed. First, a flood simulation was conducted to predict the spatiotemporal distribution of flooding based on Storm Water Management Model (SWMM) and TELAMAC-2D. Second, an agent-based model (ABM) was used to simulate driver behavior during a period of urban flooding, and a car-following model was established. Finally, in order to study the mechanisms behind how urban flooding affects traffic congestion, the impact of flooding on urban traffic was investigated based on a case study of the urban area of Lishui, China, covering an area of 4.4 km 2 . It was found that for most events, two-hour rainfall has a certain impact on traffic congestion over a five-hour period, with the greatest impact during the hour following the cessation of the rain. Furthermore, the effects of rainfall with 10-and 20-year return periods were found to be similar and small, whereas the effects with a 50-year return period were obvious. Based on a combined analysis of hydrology and transportation, the proposed methods and conclusions could help to reduce traffic congestion during flood seasons, to facilitate early warning and risk management of urban flooding, and to assist users in making informed decisions regarding travel.

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Section: Agent-based Modelmentioning

confidence: 99%

Indirect Damage of Urban Flooding: Investigation of Flood-Induced Traffic Congestion Using Dynamic Modeling

Zhu

Dai

Deng

et al. 2018

Water

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“…There has been renewed interest in the application of an agent‐based model as it successfully simulates various complex behaviors such as economy (Farmer & Foley, 2009), energy (Rai & Henry, 2016), social (Alatas et al., 2017; Helbing, 2013), and traffic (Sugihakim & Alatas, 2016). An agent‐based model is defined as a computational model to simulate and describe a complex phenomenon numerically using autonomous agents.…”

Section: Introductionmentioning

confidence: 99%

Morphometric analysis of Ciliwung river and identification of suitable locations to build artificial dams for flood mitigation

Alatas

Pawitan

Syafiuddin

2021

Environmental Quality Mgmt

Self Cite

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Flood caused by overflowing water from river has become a major issue in Southeast Asia, as it has caused economic losses and deaths. Therefore, the present work aims to propose an alternative approach for morphometric analysis of the Ciliwung River Upper Stream (CRU) without the geographic information system technique use for flood prevention strategy application. For the river network simulation, an agent‐based model having several rules in terms of agent, landscaping, and action was adopted. In addition, the river morphometric characteristics, namely, river network, river order, bifurcation ratio, length‐order ratio, fractal dimension, watershed density, and river capacity were estimated. It was found that the proposed technique was able to estimate the river morphometric characteristics of CRU. CRU has the river order, bifurcation ratio, length‐order ratio, fractal dimension, watershed density, and river capacity of 4, 1.1–2.5, 0.6–1.1, 1.84, 0.01 km km–2, and 1,404,060 L, respectively. It was also identified four suitable locations to build artificial dams for flood prevention strategy by employing the presently proposed technique. The proposed artificial dams with heights ranging from 10 m to 25 m demonstrated to have capability to prevent flood in the capital city of Jakarta, Indonesia.

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“…Therefore, calls have been recently made for returning from Shannon entropy to Boltzmann entropy in spatial sciences [ 26 , 27 ] and landscape ecology in particular [ 16 , 18 ]. To apply Boltzmann entropy, the primary and most fundamental step is to compute the Boltzmann entropy of a landscape pattern.…”

Section: Introductionmentioning

confidence: 99%

belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients

Nowosad

Gao

2020

Entropy

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Entropy is a fundamental concept in thermodynamics that is important in many fields, including image processing, neurobiology, urban planning, and sustainability. As of recently, the application of Boltzmann entropy for landscape patterns was mostly limited to the conceptual discussion. However, in the last several years, a number of methods for calculating Boltzmann entropy for landscape mosaics and gradients were proposed. We developed an R package belg as an open source tool for calculating Boltzmann entropy of landscape gradients. The package contains functions to calculate relative and absolute Boltzmann entropy using the hierarchy-based and the aggregation-based methods. It also supports input raster with missing (NA) values, allowing for calculations on real data. In this study, we explain ideas behind implemented methods, describe the core functionality of the software, and present three examples of its use. The examples show the basic functions in this package, how to adjust Boltzmann entropy values for data with missing values, and how to use the belg package in larger workflows. We expect that the belg package will be a useful tool in the discussion of using entropy for a description of landscape patterns and facilitate a thermodynamic understanding of landscape dynamics.

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Application of a Boltzmann-entropy-like concept in an agent-based multilane traffic model

Cited by 12 publications

References 35 publications

Indirect Damage of Urban Flooding: Investigation of Flood-Induced Traffic Congestion Using Dynamic Modeling

Indirect Damage of Urban Flooding: Investigation of Flood-Induced Traffic Congestion Using Dynamic Modeling

Morphometric analysis of Ciliwung river and identification of suitable locations to build artificial dams for flood mitigation

belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients

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