Passenger demand forecasting in scheduled transportation

N Banerjee, A Morton, K Akartunalı - European Journal of Operational …, 2020 - Elsevier
The aim of this review article is to provide a synoptic and critical evaluation of the extensive
research that has been performed in demand forecasting in the scheduled passenger …

A review of demand forecasting models and methodological developments within tourism and passenger transportation industry

I Ghalehkhondabi, E Ardjmand, WA Young… - Journal of Tourism …, 2019 - emerald.com
Purpose The purpose of this paper is to review the current literature in the field of tourism
demand forecasting. Design/methodology/approach Published papers in the high quality …

[图书][B] Optimization models for rail car fleet management

M Milenkovic, N Bojovic - 2019 - books.google.com
Optimization Models for Rail Car Fleet Management represents the result of multi-year
efforts to provide readers with insights into one of the most important areas of railway …

[PDF][PDF] Forecasting the number of incoming tourists using ARIMA model: Case study from Armenia

G Tovmasyan - Marketing i menedžment innovacij, 2021 - zbw.eu
This paper summarizes the arguments and counterarguments within the scientific discussion
on the issue of forecasting tourism demand and touristic flows. During COVID-19 tourism …

Irradiance and Temperature Forecasting for Energy Harvesting Units in IoT Sensors using SARIMA-KF

M Azzam, Z Bouida, M Ibnkahla - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Although the market valuation and adoption of IoT in various sectors is in an uptrend, the
actual deployment is lagging when compared to the industrial forecasted data. The main …

ARIMA-ARIMAX Yöntemiyle Türkiye Havayolu Yolcu Talep Tahmin Modellemesi, Öngörüsü Ve Karşılaştırması

V Önen - Journal of Transportation and Logistics, 2024 - dergipark.org.tr
Havayolu yolcu talebinin belirlenmesi makro ve mikro ekonomik açından ülkelerin
ekonomisine etki eden önemli bir girdi unsurudur. Bundan dolayı hemen hemen tüm ülkeler …

[图书][B] Network-wide spatio-temporal predictive learning for the intelligent transportation system

Y Gong - 2020 - search.proquest.com
Large volumes of spatio-temporal data are increasingly collected and benefited to diverse
domains, including transportation, urban optimization, community detection, climate science …

Marketing and Management of Innovations

G Tovmasyan - mmi.sumdu.edu.ua
This paper summarizes the arguments and counterarguments within the scientific discussion
on the issue of forecasting tourism demand and touristic flows. During COVID-19 tourism …

[PDF][PDF] Journal of Tourism Futures

I Ghalehkhondabi, E Ardjmand, WA Young… - 2018 - researchgate.net
Purpose–The purpose of this paper is to review the current literature in the field of tourism
demand forecasting. Design/methodology/approach–Published papers in the high quality …

[PDF][PDF] Fuzzy stohastički model za dimenzionisanje železničkog teretnog kolskog parka

MS Milenković - Универзитет у Београду, 2013 - nardus.mpn.gov.rs
In the area of freight transport, the railroads of almost all countries face with strong
competition and a prominent trend of market reduction. It has become imperative for rail …