Large language models (LLMs) are increasingly used as behavioral proxies for self-interested travelers in agent-based traffic models. Although more flexible and generalizable than conventional models, the practical use of these approaches remains limited by scalability due to the cost of calling one LLM for every traveler. Moreover, it has been found that LLM agents often make opaque choices and produce unstable day-to-day dynamics. To address these challenges, we propose to model each homogeneous traveler group facing the same decision context with a single representative LLM agent who behaves like the population's average, maintaining and updating a mixed strategy over routes that coincides with the group's aggregate flow proportions. Each day, the LLM reviews the travel experience and flags routes with positive reinforcement that they hope to use more often, and an interpretable update rule then converts this judgment into strategy adjustments using a tunable (progressively decaying) step size. The representative-agent design improves scalability, while the separation of reasoning from updating clarifies the decision logic while stabilizing learning. In classic traffic assignment settings, we find that the proposed approach converges rapidly to the user equilibrium. In richer settings with income heterogeneity, multi-criteria costs, and multi-modal choices, the generated dynamics remain stable and interpretable, reproducing plausible behavioral patterns well-documented in psychology and economics, for example, the decoy effect in toll versus non-toll road selection, and higher willingness-to-pay for convenience among higher-income travelers when choosing between driving, transit, and park-and-ride options.

In this paper, we present Roamify, an Artificial Intelligence powered travel assistant that aims to ease the process of travel planning. We have tested and used multiple Large Language Models like Llama and T5 to generate personalised itineraries per user preferences. Results from user surveys highlight the preference for AI powered mediums over existing methods to help in travel planning across all user age groups. These results firmly validate the potential need of such a travel assistant. We highlight the two primary design considerations for travel assistance: D1) incorporating a web-scraping method to gather up-to-date news articles about destinations from various blog sources, which significantly improves our itinerary suggestions, and D2) utilising user preferences to create customised travel experiences along with a recommendation system which changes the itinerary according to the user needs. Our findings suggest that Roamify has the potential to improve and simplify how users across multiple age groups plan their travel experiences.

A new self-driving car developed by Sony and Honda is set to launch in 2026 that will take aim at Elon Musk's Tesla. The joint venture, Sony Honda Mobility, unveiled Afeela at the Consumer Electronics Show (CES) in Las Vegas, which can cruise through cities without a human at the wheel. The EV is available in two trims: the 89,900 Afeela 1 Origin and the 102,900 Afeela 1 Signature. They feature the same five seats, four doors and high-tech look, including a screen just below the car's hood that displays the weather and tells passers-by to'have a nice day:).' Both cars are equipped with 45 cameras and sensors, allowing vehicles to see their surroundings and collect information for safe driving.

It has become a pronounced problem due to the increasing ubiquity of online platforms that provide a means to conduct it. A significant amount of this cyberbullying is conducted by and targets teenagers. It is difficult for teenage students to shut themselves off from the digital world in which the cyberbullying is taking place. Given how entrenched the use of digital apps is by today's youth, and the pronounced consequences of it - including victim self-harm, in some cases - cyberbullying is at least as much of a threat as physical bullying. Additionally, because of the obfuscation caused by the online environment, authorities (such as parents, teachers and law enforcement) may have difficulty determining what has occurred and who the actors participating are.

With the emergence of cognitive technologies and artificial intelligence in the travel sector, this particular domain will have the opportunity of transforming itself from a merely commoditized service provider to an active and interactive trip coordinator. Let's be a bit specific. We are particularly dealing with airlines and air travel and transportations in this context. What does current market statistics have to say? However, that has not quite transformed the booking scenario and several allied aspects.

In interaction with Media, Aamir Junaid Ahmad, CEO - BusAndTicket, a technocrat himself, shared how the company is planning to use technology for improving bus ticket booking and travel experience for its customers. With the AI advancement in the world, we will soon implement new ways the technology can improve customer experience. AI and IoT together will give more personalised ticket booking experience and will help users find the best deals and recommendations to fulfill their travel plans with ease. The more they use the service, the more information will be available to further customize the search results. BusAndTicket.com is coming up for the first time with the concept of dynamic pricing in bus ticket booking using the Analytical Benefits of AI.

In interaction with Media, Aamir Junaid Ahmad, CEO - BusAndTicket, a technocrat himself, shared how the company is planning to use technology for improving bus ticket booking and travel experience for its customers. With the AI advancement in the world, we will soon implement new ways the technology can improve customer experience. AI and IoT together will give more personalized ticket booking experience and will help users find the best deals and recommendations to fulfill their travel plans with ease. The more they use the service, the more information will be available to further customize the search results. BusAndTicket.com is coming up for the first time with the concept of dynamic pricing in bus ticket booking using the Analytical Benefits of AI.

If you are not yet familiar with Tree-Based Models in Machine Learning, you should take a look at our R course on the subject. Let's understand the algorithm in layman's terms. Suppose you want to go on a trip and you would like to travel to a place which you will enjoy. So what do you do to find a place that you will like? You can search online, read reviews on travel blogs and portals, or you can also ask your friends.

The use of AI (Artificial Intelligence) technology in commercial aviation has brought some significant changes in the way flights are being operated today. The world's leading airline service providers are now using AI tools and technologies to deliver a more personalized traveling experience to their customers. From building AI-powered airport kiosks to using it for automating airline operations and security checking, AI will play even more critical roles in the aviation industry. The International Air Transport Association (IATA) and Airports Council International (ACI) have noticed AI's value too. Here, a look at how airlines are currently using AI, and emerging areas that show promising results for a better travel experience.

Across the technologically mature economies, citizens, society, businesses, and governments alike are becoming aware of the emergence of powerful technologies and their potential to reshape every aspect of human activity. The names of rapidly advancing technologies are becoming part of our everyday experience, even if we don't fully understand their functionality, capabilities, long-term potential impacts, or implications. There is though, a growing understanding and expectation that our lives will be increasingly dependent on, and enhanced by, the coming together of a range of these technologies. The most impactful of these exponentially advancing technologies are likely to be 5G communications, smartphones, smart wearable and embedded devices such as watches, artificial intelligence (AI), machine learning (ML), big data, cloud computing, smart objects, smart speakers, home automation, blockchain, digital currencies, augmented reality (AR), virtual reality (VR), 3D printing, drones, robotics, sensors, the Internet of Things (IoT), and quantum computing. So, how might these technologies combine to create previously unimaginable changes in everything from lifestyles, relationships, and work, to our food, leisure, and travel experiences? To explore these possibilities, the Life in 2025: Say Hello Say Goodbye Scenarios were developed for Huawei Consumer Business Group. The scenarios preview what we could see emerge across ten different aspects of human activity by the year 2025: Dating, Leisure Time, Friends and Family, Food and Dining, Entertainment, Fashion and Beauty, Travel, Health and Wellness, The Workplace, and Communication. The next five years will see AI take the possibilities for dating to a new level. Dating apps could tap into information on our lives from across the web and social media, to enhance our composed profile.