Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area
- URL: http://arxiv.org/abs/2502.00399v1
- Date: Sat, 01 Feb 2025 11:25:33 GMT
- Title: Integrating Urban Air Mobility with Highway Infrastructure: A Strategic Approach for Vertiport Location Selection in the Seoul Metropolitan Area
- Authors: Donghyun Yoon, Minwoo Jeong, Jinyong Lee, Seyun Kim, Yoonjin Yoon,
- Abstract summary: Urban Air Mobility (UAM) offers an effective solution for enhancing transportation accessibility in the Seoul Metropolitan Area.
By integrating UAM with ground transportation at highway facilities, an efficient connectivity solution can be achieved for regions with limited transportation options.
This study focuses on identifying suitable locations for highway-transfer Vertiports to integrate UAM with existing highway infrastructure.
- Score: 3.9845810840390743
- License:
- Abstract: This study focuses on identifying suitable locations for highway-transfer Vertiports to integrate Urban Air Mobility (UAM) with existing highway infrastructure. UAM offers an effective solution for enhancing transportation accessibility in the Seoul Metropolitan Area, where conventional transportation often struggle to connect suburban employment zones such as industrial parks. By integrating UAM with ground transportation at highway facilities, an efficient connectivity solution can be achieved for regions with limited transportation options. Our proposed methodology for determining the suitable Vertiport locations utilizes data such as geographic information, origin-destination volume, and travel time. Vertiport candidates are evaluated and selected based on criteria including location desirability, combined transportation accessibility and transportation demand. Applying this methodology to the Seoul metropolitan area, we identify 56 suitable Vertiport locations out of 148 candidates. The proposed methodology offers a strategic approach for the selection of highway-transfer Vertiport locations, enhancing UAM integration with existing transportation systems. Our study provides valuable insights for urban planners and policymakers, with recommendations for future research to include real-time environmental data and to explore the impact of Mobility-as-a-Service on UAM operations.
Related papers
- Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study [1.7740414468805545]
This study explores the potential of large language models (LLMs) to revolutionize public transportation management within the context of San Antonio's transit system.
We investigate their capabilities to optimize route planning, reduce wait times, and provide personalized travel assistance.
arXiv Detail & Related papers (2025-01-07T16:18:55Z) - Demand Modeling for Advanced Air Mobility [21.445133878049333]
Advanced Air Mobility (AAM) has emerged as a promising transportation alternative.
This study analyzes the demand dynamics of AAM by analyzing employment based trip data across Tennessee's census tracts.
Our findings indicate that trips are more likely to be viable for AAM if air transportation accounts for over 70% of the Generalized Cost of Trip.
arXiv Detail & Related papers (2024-11-25T21:51:39Z) - Routing and Scheduling Optimization for Urban Air Mobility Fleet Management using Quantum Annealing [1.2145532233226684]
Efficiently managing the anticipated high-density air traffic in cities is critical to ensure safe and effective operations.
We propose a routing and scheduling framework to address the needs of a large fleet of UAM vehicles operating in urban areas.
Our method is validated using a traffic management simulator tailored for the airspace in Singapore.
arXiv Detail & Related papers (2024-10-15T03:27:52Z) - AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Merging [46.69777653051523]
Ramp merging is one of the bottlenecks in traffic systems, which commonly cause traffic congestion, accidents, and severe carbon emissions.
We propose a novel collaborative decision-making framework, named AgentsCoMerge, to leverage large language models (LLMs)
arXiv Detail & Related papers (2024-08-07T08:34:48Z) - Using Large Language Models in Public Transit Systems, San Antonio as a case study [1.7740414468805545]
This study examines the impact of large language models within San Antonio's public transit system.
The research highlights the transformative potential of LLMs in enhancing route planning, reducing wait times, and providing personalized travel assistance.
arXiv Detail & Related papers (2024-06-25T16:32:56Z) - Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey [37.20137308650717]
Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas.
We conduct a survey to investigate the current state of research on UAM in metropolitan-scale traffic using simulation techniques.
arXiv Detail & Related papers (2023-01-25T16:43:28Z) - Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object
Transport [83.06265788137443]
We address key challenges in long-horizon embodied exploration and navigation by proposing a new object transport task and a novel modular framework for temporally extended navigation.
Our first contribution is the design of a novel Long-HOT environment focused on deep exploration and long-horizon planning.
We propose a modular hierarchical transport policy (HTP) that builds a topological graph of the scene to perform exploration with the help of weighted frontiers.
arXiv Detail & Related papers (2022-10-28T05:30:49Z) - National Access Points for Intelligent Transport Systems Data: From
Conceptualization to Benefits Recognition and Exploitation [55.41644538483948]
The European Union has proposed the development of a National Access Point (NAP) by each individual Member State.
This paper aims to ascertain the role of a NAP within the ITS ecosystem, to investigate methodologies used in designing such platforms, and, through the drafting of an extended use case, showcase a NAP operational process and associate possible benefits with specific steps of it.
arXiv Detail & Related papers (2020-10-14T17:13:00Z) - Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050.
The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
arXiv Detail & Related papers (2020-05-09T13:53:01Z) - Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep
Reinforcement Learning Approach [88.45509934702913]
We design a navigation policy for multiple unmanned aerial vehicles (UAVs) where mobile base stations (BSs) are deployed.
We incorporate different contextual information such as energy and age of information (AoI) constraints to ensure the data freshness at the ground BS.
By applying the proposed trained model, an effective real-time trajectory policy for the UAV-BSs captures the observable network states over time.
arXiv Detail & Related papers (2020-02-21T07:29:15Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.