An intelligence-based route choice model for pedestrian flow in a transportation station

Yuen, Jason K.K.; Lee, Eric Wai Ming; Lam, W.W.H.

doi:10.1016/j.asoc.2014.05.031

Cited by 23 publications

(13 citation statements)

References 25 publications

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“…Several approaches can be applied to improve the solution for dynamical route searching. For example, the spatiotemporal statistics can be applied to predict the weight change . The time‐dependent network solutions will also be helpful in traversing all the feasible paths overall time to filter out the globally optimized path .…”

Section: Discussionmentioning

confidence: 99%

“…For example, the spatiotemporal statistics can be applied to predict the weight change. 26,27 The time-dependent network solutions will also be helpful in traversing all the feasible paths overall time to filter out the globally optimized path. 28,29 Other methods-such as global optimization, genetic algorithm, 30 and heuristic algorithm 21 -will also be helpful in extracting the globally optimized route in the spatiotemporal case.…”

Section: Discussionmentioning

confidence: 99%

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Multisource multisink optimal evacuation routing with dynamic network changes: A geometric algebra approach

Zhu

et al. 2017

Math Methods in App Sciences

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In this paper, we introduced geometric algebra to develop a new multisource multisink optimal evacuation route planning method. A dynamically updatable data structure and a matrix‐based greedy searching algorithm were developed to support the dynamic evacuation route searching for multiple evacuees. Unlike most existing methods, which iteratively search the optimal path for each evacuee, our method can search all the possible evacuation routes synchronously. The dynamic updating of the network topography, weights, and constraints during the route searching is direct and flexible, thus can support the evacuation in dynamic cases. The method is demonstrated and tested by an evacuation case in the city of Changzhou, China. The simulation experiments suggest that the method can well support the dynamic route searching in large scales with dynamic weight changes.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Multisource multisink optimal evacuation routing with dynamic network changes: A geometric algebra approach

Zhu

et al. 2017

Math Methods in App Sciences

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“…Cheung and Lam [6] and Al-Widyan et al [7] showed the relationship between the level of congestion and path planning through empirical studies. As pedestrians update their choices based on changes in the walking environment [5][6][7][8][9][10], it needs to be investigated for improvement of modeling. Stubenschrott et al [12] developed a path update model by calculating the perceived travel time for each path.…”

Section: Related Workmentioning

confidence: 99%

“…Most literature on pedestrian path update behavior dealt with route choice and path selection interchangeably [1,11,12,19,20]. For example, Yuen et al [9] proposed the tactical model, which dealt with route choice and path selection, while assuming that pedestrians know the average speed and multidirectional flow of the whole area. However, the route and path concept can be distinguished as proposed in robot motion planning [21,22].…”

Section: Related Workmentioning

confidence: 99%

Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision

et al. 2020

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The modeling of walking behavior and design of walk-friendly urban pathways have been of interest to many researchers over the past decades. One of the major issues in pedestrian modeling is path planning decision-making in a dynamic walking environment with different pedestrian flows. While previous studies have agreed that pedestrian flow influences path planning, only a few studies have dealt with the empirical data to show the relationship between pedestrian flow and path planning behavior. This study introduces a new methodology for analyzing pedestrian trajectory data to find the dynamic walking conditions that influence the path planning decision. The comparison of the pedestrians’ path shows that the higher proportion of opposite flows are, the greater they influence the path selection decision. In this study, we investigate the relationship between the opposite flow changes and path planning behavior and find the spatial and temporal ranges of the opposite flow that affects the path planning behavior. Lastly, we find the ratio of pedestrians that update their paths with respect to the opposite flow rate.

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“…Future studies might propose solid experimental setups to evaluate such learning models. Very recently, Yuen et al [2014] developed an artificial neural network (ANN) model to predict the route choice behaviour in a transportation station. They adopted a multilayered perceptron (MLP) model because of its simplicity and flexible nature to predict the probability of passengers choosing the exit gate.…”

Section: Overview Of Evacuation Models Using Artificial Neural Networkmentioning

confidence: 99%

Intelligent Evacuation Management Systems

Ibrahim

Venkat

Subramanian

et al. 2016

ACM Trans. Intell. Syst. Technol.

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An intelligence-based route choice model for pedestrian flow in a transportation station

Cited by 23 publications

References 25 publications

Multisource multisink optimal evacuation routing with dynamic network changes: A geometric algebra approach

Multisource multisink optimal evacuation routing with dynamic network changes: A geometric algebra approach

Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision

Intelligent Evacuation Management Systems

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