XGBoost-based dynamic ride-sharing model for New York City.

N Srivastava, S Tanaje, A Kulkarni… - 2023 6th …, 2023 - ieeexplore.ieee.org
Green transportation has become a very important concept in today's day and age when
global warming is on the rise. Since transportation is a huge contributor in causing negative …

Analysis and prediction of city-scale transportation system using XGBOOST technique

SPK Kalvapalli, M Chelliah - … Developments in Machine Learning and Data …, 2019 - Springer
Recent research has been carried out in predicting the taxi rides that can be shared with
different customers with similar pickup point also called as taxi pooling by taking into …

Optimizing Ride-Sharing Potential in New York City: A Dynamic Algorithm Analysis of Peak and Off-Peak Demand Scenarios

M Afsari, N Ippolito, LMB Mistrice, G Gentile - International Conference on …, 2023 - Springer
This study used the dynamic algorithm to analyze the ride-sharing potential in New York City
(NYC) by comparing the no-sharing scenario with different sharing scenarios. At first, the …

Passenger‐perception dynamic ridesharing service based on parallel technology

S Xue, R Song, S He, G Li, J Chi - IET Intelligent Transport …, 2023 - Wiley Online Library
With the emergence of new information and communication technology, mobile‐based
ridesharing services have received more attention and have improved. They offer timely and …

Exploring Demographic Factors Behind the User Preferences in Ridesharing Services

H Su, R Gangadharaiah, J Paul, L Boor… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Ridesharing is an increasingly prevalent form of transportation. Personal and pooled
rideshare services are the two modes of ridesharing available on the market. While personal …

A pairing ridesharing model to reduce congestion in large urban areas

C Zhang, L Quadrifoglio, D Ballarano - AIP Conference Proceedings, 2023 - pubs.aip.org
Modern world is facing difficult times with regard to newly developed concepts like livability
and sustainability. Increasingly growing urban areas are dealing with an escalation of traffic …

Machine learning model to forecast demand of Boston Bike-ride sharing

A Zeid, T Bhatt, HA Morris - European Journal of Artificial Intelligence …, 2022 - ej-ai.ejece.org
Bike-ride sharing systems are the new generation of traditional bike rentals, where the entire
process is automated. A user rents a bike from one location and returns it at another …

Ridesharing Using Adaptive Waiting Time

P Ehsani - 2020 - spectrum.library.concordia.ca
The culture of sharing by the advances in communication technologies has entered a new
era, and ever since, sharing instead of ownership has been sharply increasing in …

Analyzing Urban Transportation Services using RideShare Data Insights

K Jashwanth, KLSP Reddy… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
In this fast-growing world, the need for choosing or booking a ride is increasing. Since the
fare displayed on booking apps such as Uber, Rapido, etc., and the fare after the ride is …

A model of multimodal ridesharing and its analysis

J Lin, S Sasidharan, S Ma… - 2016 17th IEEE …, 2016 - ieeexplore.ieee.org
Getting a taxi in highly congested areas (eg Airports, conferences) is both time consuming
and expensive. Chicago Tribune reports that wait at Chicago O'Hare International airport for …