Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems
نویسندگان
چکیده
منابع مشابه
Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems
This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable of creating demand forecasting models for each bicycle station. Moreover, the architecture offers API (Application Programming Interface) services and ...
متن کاملDemand and Trip Prediction in Bike Share Systems
Bike Share systems are becoming increasingly popular in urban areas. With growing membership and expansion of service comes many operational challenges. A major challenge in their operations is the unbalanced demand and supply at bike stations as a function of time. Figure 1 shows number of bike trips in Jan 2017, aggregated into time intervals of 30 minutes according to start time, and summed ...
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Bike sharing systems have been gaining prominence all over the world with more than 500 successful systems being deployed in major cities like New York, Washington, London. With an increasing awareness of the harms of fossil based mean of transportation, problems of traffic congestion in cities and increasing health consciousness in urban areas, citizens are adopting bike sharing systems with z...
متن کاملPrediction of Bike Sharing Systems for Casual and Registered Users
In this project, two different approaches to predict Bike Sharing Demand are studied. The first approach tries to predict the exact number of bikes that will be rented using Support Vector Machines (SVM). The second approach tries to classify the demand into 5 different levels from 1 (lowest) to 5 (highest) using Softmax Regression and Support Vector Machines. Index Terms –regression, classific...
متن کاملRobust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems
Bike Sharing Systems (BSSs) experience a significant loss in customer demand due to starvation (empty base stations precluding bike pickup) or congestion (full base stations precluding bike return). Therefore, BSSs operators reposition bikes between stations with the help of carrier vehicles. Due to unpredictable and dynamically changing nature of the demand, myopic reasoning typically provides...
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ژورنال
عنوان ژورنال: Applied Sciences
سال: 2018
ISSN: 2076-3417
DOI: 10.3390/app8010067