Applications of TRANSIMS in Transportation: A Literature Review

Lee, Kwang Sub; Eom, Jin Ki; Moon, Dae-Seop

doi:10.1016/j.procs.2014.05.489

Cited by 24 publications

(15 citation statements)

References 2 publications

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“…Because the N‐S model can capture empirical traffic phenomena and allow for parallel computing, it has been widely applied in many studies and has been developed as the Transportation Analysis and Simulation System for regional transportation system analysis (Smith et al ., ; Nagel and Rickert, ; Lee et al ., ). In our study, we use the N‐S model to simulate evacuation processes on transportation networks, assuming that they will follow the rules defined in the N‐S model.…”

Section: Methodsmentioning

confidence: 97%

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Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Rivera

Cai

et al. 2016

J American Water Resour Assoc

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Flood forecasts and warnings are intended to reduce flood‐related property damages and loss of human life. Considerable research has improved flood forecasting accuracy (e.g., more accurate prediction of the occurrence of flood events) and lead time. However, the delivery of improved forecast information alone is not necessarily sufficient to reduce flood damage and loss of life, as people have varying responses and reactions to flood warnings. This study develops an agent‐based modeling framework that evaluates the impacts of heterogeneity in human behaviors (i.e., variation in behaviors in response to flood warnings), as well as residential density, on the benefits of flood warnings. The framework is coupled with a traffic model to simulate evacuation processes within a road network under various flood warning scenarios. The results show the marginal benefit associated with providing better flood warnings is significantly constrained if people behave in a more risk‐tolerant manner, especially in high‐density residential areas. The results also show significant impacts of human behavioral heterogeneity on the benefits of flood warnings, and thus stress the importance of considering human behavioral heterogeneity in simulating flood warning‐response systems. Further study is suggested to more accurately model human responses and behavioral heterogeneity, as well as to include more attributes of residential areas to estimate and improve the benefits of flood warnings.

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Section: Methodsmentioning

confidence: 97%

“…Simulation System for regional transportation system analysis (Smith et al, 1995;Nagel and Rickert, 2001;Lee et al, 2014). In our study, we use the N-S model to simulate evacuation processes on transportation networks, assuming that they will follow the rules defined in the N-S model.…”

Section: Transportation Network and Traffic Rulesmentioning

confidence: 99%

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Rivera

Cai

et al. 2016

J American Water Resour Assoc

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“…The N‐S model is an individual‐oriented cellular automation model for traffic flow simulation and is capable for simulating complex and dynamic traffic flow in large‐scale transportation systems. Recently, the N‐S model has been used for emergency evacuation simulation (Lee et al, ; Nagel & Rickert, ; Naghawi & Wolshon, ). In the N‐S model, space and time are both discrete variables and each traffic road in the transportation network is divided into cells, each of which can be occupied by one vehicle.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Role of Social Media and Individual Behaviors in Flood Evacuation Processes: An Agent‐Based Modeling Approach

Cai

Sun

et al. 2017

Water Resources Research

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Flood warnings from various information sources are important for individuals to make evacuation decisions during a flood event. In this study, we develop a general opinion dynamics model to simulate how individuals update their flood hazard awareness when exposed to multiple information sources, including global broadcast, social media, and observations of neighbors' actions. The opinion dynamics model is coupled with a traffic model to simulate the evacuation processes of a residential community with a given transportation network. Through various scenarios, we investigate how social media affect the opinion dynamics and evacuation processes. We find that stronger social media can make evacuation processes more sensitive to the change of global broadcast and neighbor observations, and thus, impose larger uncertainty on evacuation rates (i.e., a large range of evacuation rates corresponding to sources of information). For instance, evacuation rates are lower when social media become more influential and individuals have less trust in global broadcast. Stubborn individuals can significantly affect the opinion dynamics and reduce evacuation rates. In addition, evacuation rates respond to the percentage of stubborn agents in a nonlinear manner, i.e., above a threshold, the impact of stubborn agents will be intensified by stronger social media. These results highlight the role of social media in flood evacuation processes and the need to monitor social media so that misinformation can be corrected in a timely manner. The joint impacts of social media, quality of flood warnings, and transportation capacity on evacuation rates are also discussed.

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“…A plethora of frameworks to support disaggregated modelling for traffic planning and management purposes in large real-world networks have been developed, with foci mainly on demand generation or flow analysis. Examples of such modelling frameworks include TAPAS [81], MATSIM [82], SUMO [73], ALBATROSS [83], TRANSIMS [84], VISSIM [85], TransCAD [86] and SACSIM [87]. Further, multi-purpose agent-based simulation tools with more flexible functionalities, such as NetLogo [88] or Repast [89], have been used in transport research to explore emergent traffic phenomena, mainly on a conceptual level [76,90,91].…”

Section: Current Statusmentioning

confidence: 99%

GIS and Transport Modeling—Strengthening the Spatial Perspective

Loidl

Wallentin

Cyganski

et al. 2016

IJGI

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Abstract:The movement and transport of people and goods is spatial by its very nature. Thus, geospatial fundamentals of transport systems need to be adequately considered in transport models. Until recently, this was not always the case. Instead, transport research and geography evolved widely independently in domain silos. However, driven by recent conceptual, methodological and technical developments, the need for an integrated approach is obvious. This paper attempts to outline the potential of Geographical Information Systems (GIS) for transport modeling. We identify three fields of transport modeling where the spatial perspective can significantly contribute to a more efficient modeling process and more reliable model results, namely, geospatial data, disaggregated transport models and the role of geo-visualization. For these three fields, available findings from various domains are compiled, before open aspects are formulated as research directions, with exemplary research questions. The overall aim of this paper is to strengthen the spatial perspective in transport modeling and to call for a further integration of GIS in the domain of transport modeling.

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Applications of TRANSIMS in Transportation: A Literature Review

Cited by 24 publications

References 2 publications

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Impacts of Human Behavioral Heterogeneity on the Benefits of Probabilistic Flood Warnings: An Agent‐Based Modeling Framework

Exploring the Role of Social Media and Individual Behaviors in Flood Evacuation Processes: An Agent‐Based Modeling Approach

GIS and Transport Modeling—Strengthening the Spatial Perspective

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