A Survey on Trip Planning Systems

Abstract

These days, there are plenty of online trip planning tools that can automatically whip up a selection and itinerary for visiting Points of Interest (POIs) that match travelers\' interests. These systems come packed with a variety of features tailored to cater to different visitor profiles. Some of the key features gaining traction include estimating tourists\' personal interests, selecting POIs, routing paths, identifying must-see POIs, recalculating dynamic trip plans, planning multi-day trips, checking POI opening hours, managing budget constraints, and considering weather conditions. In this paper, we will take a closer look at these trip planning systems by highlighting their features and functionalities. Additionally, we will evaluate several current systems based on how effectively they incorporate the latest features for organizing travel experiences. Our selection criteria for the catalog are based on research into travel planning systems. We aim to compare these systems and showcase what sets our trip planner apart as a sustainable travel option.

Introduction

The travel industry is booming, with more people planning trips online through travel websites that offer comprehensive services. However, increasing concerns about climate change and environmental degradation are driving demand for sustainable travel options. Sustainable Trip Planning systems aim to guide travelers toward eco-friendly choices, such as public transportation, cycling, and walking, to reduce greenhouse gas emissions.

These systems integrate real-time data, user-centric designs, and smart city infrastructure to optimize routes, lower carbon footprints, and improve accessibility. Technologies like AI, machine learning, and IoT enhance personalized travel recommendations and enable efficient trip planning. Successful implementations in cities like Copenhagen and Singapore show how sustainable planning can reduce congestion, emissions, and promote healthier lifestyles.

Future trends focus on more adaptive, data-driven, and integrated trip planning tools that combine transport, accommodation, and activities for fully sustainable travel experiences. Current solutions, however, often address only parts of travel rather than providing a comprehensive, individualized sustainable trip plan.

References

[1] User Focused Trip Planner with an Extended Suite of features: Riga Case Study. [2] TRIPPLANNER: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints. [3] Research Gate: A SURVEY ON TOURIST TRIP PLANNING SYSTEMS. [4] T. Nguyen, P. Lee, and H. Zhao, \"Learning Analytics for Personalized Trip Planning IEEE Transactions on Education, vol. 16, no. 2, pp. 89-101, 20 [5] ICAO (2018). “Travel and Tourism a Force for Good in the World,” accessed November7,2018,https://www.icao.int/Meetings/iwaf2018/Docum ents/Travel%20and%20Tourism.pdf [6] Jelev, V. (2016). “Romanian Tourism Marketing Researches.” Annals of Spiru Haret University. Economic Series,http://anale.spiruharet.ro/index.php/economics/article/ View/1634/pdf [7] International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) International Open-Access, Double-Blind, Peer-Reviewed, Refereed, Multidisciplinary Online Journal Volume 3, Issue 2, November 2023.

Copyright

Copyright © 2025 Pragati Madhav, Nashrah Hareem, Harsh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.