Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph

N Shalit, M Fire, D Kagan, E Ben-Elia - arxiv preprint arxiv:2308.12828, 2023 - arxiv.org
Public transport routing plays a crucial role in transit network design, ensuring a satisfactory
level of service for passengers. However, current routing solutions rely on traditional …

Investigating mandatory and non-mandatory trip patterns based on socioeconomic characteristics and traffic analysis zone features using deep neural networks

H Mirzahossein, A Bakhtiari, N Kalantari… - Computational Urban …, 2022 - Springer
Forecasting travel demand is a classic problem in transportation planning. The models
made for this purpose take the socioeconomic characteristics of a subset of a population to …

[PDF][PDF] Inferring Socioeconomic Characteristics from Travel Patterns

A Bakhtiari, H Mirzahossein… - Journal of Regional and …, 2023 - researchgate.net
Nowadays, crowd-based big data is widely used in transportation planning. These data
sources provide valuable information for model validation; however, they cannot be used to …

A supervised machine learning model for imputing missing boarding stops in smart card data

N Shalit, M Fire, E Ben-Elia - Public Transport, 2023 - Springer
Public transport has become an essential part of urban existence with increased population
densities and environmental awareness. Large quantities of data are currently generated …

Inferring Trip Purposes from Travel Smart Card Data

N Sari Aslam - 2022 - discovery.ucl.ac.uk
Understanding human mobility, activities and trip purpose is essential for transport planning
and commercial services in urban environments. Conventionally, household travel surveys …

Imputing Missing Boarding Stations With Machine Learning Methods

N Shalit, M Fire, EB Elia - 2021 - cris.bgu.ac.il
With the increase in population densities and environmental awareness, public transport
has become an important aspect of urban life. Consequently, large quantities of …