@inproceedings{ea4f091795cc4ae59bd4b0b297b1ec39,
title = "Ridesharing in rail-freight transport and use of digital aggregator: prospects and difficulties - a developer's perspective",
abstract = "The adoption of ridesharing principles, inspired by the Uber model, in road transport has presented a promising perspective for cost and time reduction. Particularly within the expanding urban transport networks, this concept has significantly enhanced passenger comfort. The implementation of an aggregator, a software program that gathers data from various sources and consolidates it based on user requirements or history, facilitates swift decision-making across different interfaces. This service model is employed in the context of rail-freight transport with ridesharing. The investigation aims to comprehend how an aggregator in rail-freight ridesharing can modernize freight operations, leading to cost and time savings and making the overall business model appealing to stakeholders.",
keywords = "rail-freight, ridesharing, aggregator, transportation, business model",
author = "Ahmed, {Md Shakil} and Koirala, {Ravi Chandra} and Keshav Dahal and Andrii Prokhorchenko",
year = "2024",
month = jan,
day = "23",
doi = "10.1109/SKIMA59232.2023.10387347",
language = "English",
isbn = "9798350316568",
series = "IEEE Conference Proceedings",
publisher = "IEEE",
pages = "279--284",
booktitle = "2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)",
address = "United States",
}