Smart Bike Sharing System with Demand Prediction, Dynamic Pricing, and AI-Based Resource Optimization: An Urban Mobility Navigator Framework

Krutika Karmore

Title:
Smart Bike Sharing System with Demand Prediction, Dynamic Pricing, and AI-Based Resource Optimization: An Urban Mobility Navigator Framework

Authors:
Krutika Karmore

Cite This Article :

Krutika Karmore "Smart Bike Sharing System with Demand Prediction, Dynamic Pricing, and AI-Based Resource Optimization: An Urban Mobility Navigator Framework" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications, April 2026, pp.250-254, URL: https://www.ijtsrd.com/papers/ijtsrd101435.pdf

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Abstract :
Urban mobility systems are increasingly challenged by demand fluctuations, inefficient resource allocation, and static pricing strategies. Traditional bike-sharing systems rely on rule-based mechanisms that fail to capture contextual and temporal variations in demand. This paper proposes an intelligent framework, termed the Urban Mobility Navigator, which integrates Natural Language Processing (NLP), Deep Learning, and optimization techniques to enhance operational efficiency in bike-sharing systems. The proposed system utilizes Term Frequency–Inverse Document Frequency (TF-IDF) for feature extraction from environmental and usage data, and employs a Recurrent Neural Network (RNN) to classify demand patterns based on temporal dependencies. Additionally, a recommendation engine based on cosine similarity is introduced to perform supply-gap analysis and optimize bike redistribution across stations. A dynamic pricing model is incorporated to balance demand and supply while improving revenue.

Keywords :
Bike Sharing System, Smart Mobility, NLP, RNN, TF-IDF, Dynamic Pricing, Resource Optimization, Demand Prediction

Publication Details:

Unique Identification Number : IJTSRD101435

Published In : Special Issue | Innovations in Computer Science and Applications, April 2026

Page Number(s) : 250-254

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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