首页|EMLYON Business School Details Findings in Artificial Intelligence (Predicting t he Price of Taxicabs Using Artificial Intelligence: a Hybrid Approach Based On C lustering and Ordinal Regression Models)
EMLYON Business School Details Findings in Artificial Intelligence (Predicting t he Price of Taxicabs Using Artificial Intelligence: a Hybrid Approach Based On C lustering and Ordinal Regression Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reporting originating from Ecully, Fra nce, by NewsRx correspondents, research stated, "With increasing popularity of r ide -hailing services, it becomes important to build transparent and explainable pricing models using artificial intelligence (AI). While the literature on this domain is growing steadily, the application of AI in pricing prediction is rela tively new." Our news editors obtained a quote from the research from EMLYON Business School, "We drew upon the New York City Taxi dataset to build pricing prediction models to bridge this gap. Our contributions are as follows. First, we created unique clusters for yellow and app -based cabs, leading to a dynamic pricing mechanism across different zones in New York City. Second, we converted a prediction probl em into a classification problem by transforming the prices into four distinct q uartiles. Third, we applied variable importance schemes to generate top predicto rs in each cluster. Fourth, our study reveals that differential effects of each predictor for cab -pricing across different clusters exist. Fifth, the ‘ congest ion surcharge ‘ is significant for only a few clusters, and imposing such surcha rges could hurt the overall taxicab industry."
EcullyFranceEuropeArtificial Intel ligenceEmerging TechnologiesMachine LearningEMLYON Business School
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