An Improved Exponential Smoothing Model on Rental Trends Prediction of Public Bicycle Stations

Lin, Fei; Zhang, Linyao; Xu, Haitao; Sun, Yi

doi:10.1109/dasc-picom-datacom-cyberscitec.2016.87

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [5], aim is on renting Agricultural tools. The agricul- In [6] it is found out that if a person wsnts to rent a car, had to visit the rental company physically and Pay a deposit for renting that car but nowadays the entire rental process requires just a few clicks in the application. Freefloating car rental service (FFCRS) is that application which serves as an example for that.…”

Section: Literature Surveymentioning

confidence: 99%

ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.

J. R.

2024

IJSREM

View full text Add to dashboard Cite

Introducing ”Charter”, a web-app, that has revolutionized various groups, including Students (B. F. A.), Young YouTubers, and Construction Workers. Powered by the innovative ”Voice Companion U. I.” executing the role of a ”Salesman”, A ”Chatbot” replacing the traditional Toll-Free No. ”Call-centre systems”, have made it a seamless and user-friendly experience. And ”Order Tracking System” for those who wish to have a Home Delivery. The primary objective is to create an efficient and secure user experience. Key words: V.C.U.I.:Voice Companion User Interface; BFA:Bachelor of Fine Arts; Artificial Intelligence; XAMPP; Blockchain; Two classes of customers.

show abstract

Section: Literature Surveymentioning

confidence: 99%

ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.

J. R.

2024

IJSREM

View full text Add to dashboard Cite

show abstract

“…(2), , and , are given and , and , need to be predicted. There are many methods that can be used to handle the time series, such as multiple linear regression [23], exponential smoothing [24], artificial neural networks (ANN) [25], and methods based on a multimodel fusion algorithm [26]. Among the abovementioned methods, autoregressive integrated moving average (ARIMA) model is the most straightforward method to predict…”

Section: Maximum Daily Demand Prediction Model In (1) Andmentioning

confidence: 99%

Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair

Zhang

Xiang

Huang

2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

Bike-sharing systems, which are used in many cities worldwide, need to maintain a balance between the availability of bicycles and the availability of unoccupied bicycle slots. This paper presents an investigation of the net flow of each bike-sharing station in Jersey City. The data was recorded at 1-minute intervals. The sum of the initial bicycle number and the minimum net flow value was determined to be the demand for static rebalancing, and this led to the proposal of a bike-sharing demand prediction method based on autoregressive integrated moving average models. Considering that the existence of bicycles in a state of disrepair may adversely affect demand prediction and routine planning, we present an integer linear programming formulation to model bike-sharing static rebalancing. The proposed formulation takes into account the problem introduced by the need to collect bicycles in need of repair. A hybrid Discrete Particle Swarm Optimization (DPSO) algorithm was proposed to solve the model, which incorporates a reduced variable neighborhood search (RVNS) functionality together with DPSO to improve the global optimization performance. The effectiveness of the algorithms was verified by a detailed numerical example.

show abstract

Can user data improve Bike Sharing Systems demand forecasting?

Jiménez-Bravo

Murciego

Crocker

et al. 2021

2021 Telecoms Conference (ConfTELE)

View full text Add to dashboard Cite

An Improved Exponential Smoothing Model on Rental Trends Prediction of Public Bicycle Stations

Cited by 3 publications

References 9 publications

ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.

ChArTeR: Pocket-Friendly Filming Equipment Rental Web- App with Voice Companion U.I. with the help of A.I. and M.L.

Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair

Can user data improve Bike Sharing Systems demand forecasting?

Contact Info

Product

Resources

About