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Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent dirichlet allocation
Individual passenger travel patterns have significant value in understanding passenger’s behavior, such as learning the hidden clusters of locations,...
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Recent advancements in indoor electronic travel aids for the blind or visually impaired: a comprehensive review of technologies and implementations
The human sense of vision is a critical tool for interaction and exploration in the physical world. However, this valuable faculty can be impaired by...
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Personalized route recommendation through historical travel behavior analysis
Popular navigation applications and services optimize routes based on either distance or time, disregarding drivers’ preferences when suggesting...
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Secure Covid-19 Electronic Health Records Management for Telediagnosis and Travel Ticket Assistant System Using Cryptographic Approaches
Presently, the whole world is suffering from the Covid-19 pandemic. In this harmful situation, using information and Internet technology is mandatory...
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Analysis of Travel Blogs Or: What Can We Learn About Traveller Behaviour From Travelogues?
This paper deals with the analysis of unstructured data. It shows how travel blogs of an online platform can be analyzed. The travel blogs are stored...
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Solving Time-Dependent Traveling Salesman Problem with Time Windows Under Generic Time-Dependent Travel Cost
In this paper, we present formulations and an exact method to solve the Time Dependent Traveling Salesman Problem with Time Window (TD-TSPTW) under a...
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Logistics, Graphs, and Transformers: Towards Improving Travel Time Estimation
The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics. The complex nature of interconnections...
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Recommendation of Sustainable Route Optimization for Travel and Tourism
In our study, we aim to provide a sustainable route for tourism by considering the carbon emission by different transportation methods in an attempt...
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Searching in Virtual Reality with Teleportation as a Travel Technique
Teleportation is often used as a travel technique in virtual reality (VR) applications when the distance users must travel exceeds the bounds of...
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Travel order quantity prediction via attention-based bidirectional LSTM networks
Traffic flow prediction is a very challenging task in traffic networks. Travel order quantity prediction is of great value to the analysis of traffic...
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Toward Supporting Baggage-Free Walk-Arounds at Travel Destinations: Issues of the Hassle of Baggage During Travel
Luggage is a hassle for travelers. In recent years, various services related to luggage have emerged, as people are increasingly interested in how to...
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Multi-stage deep probabilistic prediction for travel demand
Accurate demand prediction is an essential component of any decision support system for smart vehicle dispatching. However, predicting real time...
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GSTA: gated spatial–temporal attention approach for travel time prediction
Accurate travel time prediction between two locations is one of the most substantial services in transport. In travel time prediction,...
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Multivariable-Unistep Prediction of Travel Times in Public Transport Buses Using LSTM and Convolutional LSTM
Public transportation plays a vital role in the daily mobility of a city, especially in tourist destinations like Cusco, Peru. Although intelligent...
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Group Trip Planning Approach with Travel Time and Ratio Constraints
With the popularity of wireless communication technologies and smart mobile devices, the researches and applications of Location-Based Services...
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Virtual Travel: Being Not Quite “There”
This chapter explores issues and consequences associated with travel and tourism. I examine the disastrous effects of tourism on sites around the...
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Storage Assignment Using Nested Metropolis Sampling and Approximations of Order Batching Travel Costs
The Storage Location Assignment Problem (SLAP) is of central importance in warehouse operations. An important research challenge lies in generalizing...
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Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Due to the rapid development of Internet of Things (IoT) technologies, many online web apps (e.g., Google Map and Uber) estimate the travel time of...
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Quantifying Parking Difficulty with Transport and Prediction Models for Travel Mode Choice Modelling
Promoting sustainable transportation necessitates understanding what makes people select individual travel modes. Hence, classifiers are trained to...