In this paper, a review of the main actions and policies that can be implemented to promote
sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not …

The application of artificial intelligence (AI) and machine learning (ML) in the transportation
sector has gained significant attention in recent years, with a particular focus on improving …

An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate
travel time information. Knowing arrival times of public vehicles in advance can reduce …

The full utilization of Location-Based Vehicle Sensor Data (LB-VSD) can improve the
efficiency of traffic control and management. Currently, LB-VSD is widely applied to the …

Bus arrival time prediction intends to improve the level of the services provided by
transportation agencies. Intuitively, many stochastic factors affect the predictability of the …

Providing real-time and accurate travel time information of transit vehicles can be very
helpful as it assists passengers in planning their trips to minimize waiting times. The purpose …

Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

Accurate forecasting of bus travel time and its uncertainty is critical to service quality and
operation of transit systems: it can help passengers make informed decisions on departure …

In road-based mass transit systems, travel time is a key factor in providing quality of service.
This article proposes a method of predicting travel time for this type of transport system. This …

Travel time is a critical measure for road network traffic conditions, and travel time estimation
provides available information for travellers and traffic management. This paper proposes an …