An Agent-Based Model for Evaluating the Boarding and Alighting Efficiency of Autonomous Public Transport Vehicles

Su, Bing; Andelfinger, Philipp; Eckhoff, David; Cornet, Henriette; Marinković, Goran; Cai, Wentong; Knoll, Alois

doi:10.1007/978-3-030-22734-0_39

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…ABM amalgamated with other forms of transport modelling helps to capture entity level details, complex decision-making, and visualization of the behaviour of drivers and other agents [19,20]. e ABM has been effective in modelling the behaviour and interaction of the vehicle with the passengers, estimating passenger interaction with metros, and estimating exposures to air pollutions from transportation [21][22][23].…”

Section: Literature Reviewmentioning

confidence: 99%

Context-Aware Services Using MANETs for Long-Distance Vehicular Systems: A Cognitive Agent-Based Model

Raees

Khan

Abbasi

et al. 2021

Scientific Programming

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Long-distance transportation systems play an important role in economic growth. Yet, these systems are incurred with multifaceted delays and cost problems. The major incites affecting transportation systems are congestion, breakdowns, emergencies, and inclement weather. Scarcity of information about the environment also exacerbates travel problems. It is essential to employ monitoring and guidance that aid in making timely decisions through premediated information. This work aims to provide a flexible model for the long-distance transport system. The model is based on problems faced in long-distance transportation. Moreover, we examine the possible use of emerging Information and Communication Technologies (ICTs) for better transportation. The system dynamics study the problem at hand through cognitive agent-based modelling (ABM) concepts. The integrated model lays the rules to abate traffic delays. In this model, the distance travelled by vehicles is divided into sections using checkpoints. Every section is composed of different agents such as medical units, police stations, workshops, and petrol pumps. The vehicle shifts connection over the mobile ad hoc network (MANET) when enters or leaves a section. We used NetLogo for simulation of the model. A monitoring and guidance system is tested, and obtained results are analyzed by addressing problems causing delays. The guidance system helps vehicles to take optimal decisions for the time, congestion, and rests. The model can be used to improve decision-making for vehicles through premediated decisions. The proposed model can help to improve the efficiency of the transportation systems by reducing travel time.

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Section: Literature Reviewmentioning

confidence: 99%

Context-Aware Services Using MANETs for Long-Distance Vehicular Systems: A Cognitive Agent-Based Model

Raees

Khan

Abbasi

et al. 2021

Scientific Programming

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“…In this section, we describe a pedestrian model developed in the CrowdTools simulation framework (Cai et al 2010;Su et al 2019). An introduction of the layout of SGH ED is presented, followed by the description of characteristics and behaviors of each type of agent in the scenario, as well as the fundamental movement model of agents.…”

Section: Pedestrian Modelmentioning

confidence: 99%

“…Our pedestrian movement model is implemented based on the framework in (Su et al 2019), which consists of a high level module for decision making and low level module for distance-keeping and speed-adjusting.…”

Section: Movement Modelmentioning

confidence: 99%

A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments

Kwak

Pourghaderi

et al. 2021

2021 Winter Simulation Conference (WSC)

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Development and experimental validation of a humanoid pedestrian model that captures stepping behavior and body rotation

Shang,

Jiang,

Wong

et al. 2024

Transportation Research Part C: Emerging Technologies

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An Agent-Based Model for Evaluating the Boarding and Alighting Efficiency of Autonomous Public Transport Vehicles

Cited by 5 publications

References 17 publications

Context-Aware Services Using MANETs for Long-Distance Vehicular Systems: A Cognitive Agent-Based Model

Context-Aware Services Using MANETs for Long-Distance Vehicular Systems: A Cognitive Agent-Based Model

A Model-based Analysis of Evacuation Strategies in Hospital Emergency Departments

Development and experimental validation of a humanoid pedestrian model that captures stepping behavior and body rotation

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