Artificial Intelligence for Smart Transportation
- URL: http://arxiv.org/abs/2308.07457v1
- Date: Mon, 14 Aug 2023 21:01:00 GMT
- Title: Artificial Intelligence for Smart Transportation
- Authors: Michael Wilbur, Amutheezan Sivagnanam, Afiya Ayman, Samitha
Samaranayeke, Abhishek Dubey, Aron Laszka
- Abstract summary: There are more than 7,000 public transit agencies in the U.S. (and many more private agencies)
This book chapter discusses the primary requirements, objectives, and challenges related to the design of AI-driven smart transportation systems.
- Score: 8.482269911822723
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: There are more than 7,000 public transit agencies in the U.S. (and many more
private agencies), and together, they are responsible for serving 60 billion
passenger miles each year. A well-functioning transit system fosters the growth
and expansion of businesses, distributes social and economic benefits, and
links the capabilities of community members, thereby enhancing what they can
accomplish as a society. Since affordable public transit services are the
backbones of many communities, this work investigates ways in which Artificial
Intelligence (AI) can improve efficiency and increase utilization from the
perspective of transit agencies. This book chapter discusses the primary
requirements, objectives, and challenges related to the design of AI-driven
smart transportation systems. We focus on three major topics. First, we discuss
data sources and data. Second, we provide an overview of how AI can aid
decision-making with a focus on transportation. Lastly, we discuss
computational problems in the transportation domain and AI approaches to these
problems.
Related papers
- How do transportation professionals perceive the impacts of AI
applications in transportation? A latent class cluster analysis [2.472502534135251]
We surveyed transportation professionals in the United States and collected a total of 354 responses.
We find widespread optimism regarding AI's potential to improve many aspects of transportation.
However, responses are mixed regarding AI's potential to advance equity.
arXiv Detail & Related papers (2024-01-17T01:59:59Z) - Vision Paper: Causal Inference for Interpretable and Robust Machine
Learning in Mobility Analysis [71.2468615993246]
Building intelligent transportation systems requires an intricate combination of artificial intelligence and mobility analysis.
The past few years have seen rapid development in transportation applications using advanced deep neural networks.
This vision paper emphasizes research challenges in deep learning-based mobility analysis that require interpretability and robustness.
arXiv Detail & Related papers (2022-10-18T17:28:58Z) - Understanding and Developing Equitable and Fair Transportation Systems [3.1473798197405944]
We need to better design and plan our transportation system.
Roads and bridges are found to better connect affluent sectors while excluding the poor.
This proposal is the first step toward answering these questions.
arXiv Detail & Related papers (2022-09-21T18:26:19Z) - Improving Urban Mobility: using artificial intelligence and new
technologies to connect supply and demand [7.347028791196305]
The are of intelligent transportation systems (ITS) aims at investigating how to employ information and communication technologies to problems related to transportation.
In this panorama, artificial intelligence plays an important role, especially with the advances in machine learning.
arXiv Detail & Related papers (2022-03-18T14:37:33Z) - The 5th AI City Challenge [51.83023045451549]
The fifth AI City Challenge attracted 305 participating teams across 38 countries.
The evaluation was conducted on both algorithmic effectiveness and computational efficiency.
Results show the promise of AI in Smarter Transportation.
arXiv Detail & Related papers (2021-04-25T19:15:27Z) - AI in Smart Cities: Challenges and approaches to enable road vehicle
automation and smart traffic control [56.73750387509709]
SCC ideates on a data-centered society aiming at improving efficiency by automating and optimizing activities and utilities.
This paper describes AI perspectives in SCC and gives an overview of AI-based technologies used in traffic to enable road vehicle automation and smart traffic control.
arXiv Detail & Related papers (2021-04-07T14:31:08Z) - Toward a Rational and Ethical Sociotechnical System of Autonomous
Vehicles: A Novel Application of Multi-Criteria Decision Analysis [0.0]
The expansion of artificial intelligence (AI) and autonomous systems has shown the potential to generate enormous social good.
There is a pressing need to address relevant social concerns to allow for the development of systems of intelligent agents.
arXiv Detail & Related papers (2021-02-04T23:52:31Z) - Urban Sensing based on Mobile Phone Data: Approaches, Applications and
Challenges [67.71975391801257]
Much concern in mobile data analysis is related to human beings and their behaviours.
This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.
arXiv Detail & Related papers (2020-08-29T15:14:03Z) - 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) - The 4th AI City Challenge [80.00140907239279]
The 4th annual edition of the AI City Challenge has attracted 315 participating teams across 37 countries.
The evaluation is conducted on both algorithmic effectiveness and computational efficiency.
Results show promise that AI technology can enable smarter and safer transportation systems.
arXiv Detail & Related papers (2020-04-30T07:47:14Z) - Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and
Social Implications [10.075017640104843]
Smart mobility systems aim to support efficient exploitation of city transport facilities.
In the last few years, several cities indicated interest in using Autonomous Vehicles for the "last-mile" mobility services.
Autonomous Shuttles (AS) are beginning to be thought of as a new mobility/delivery service into the city center.
arXiv Detail & Related papers (2020-01-14T12:34:03Z)
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.