{"product_id":"logic-driven-traffic-big-data-analytics-methodology-and-applications-for-planning-9789811680151","title":"Logic-Driven Traffic Big Data Analytics: Methodology and Applications for Planning","description":"\u003cp\u003e • Author(s): Shaopeng Zhong\u003cbr\u003e • Publisher: Springer Verlag\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • Subject: Computer Science and Information Technology\u003cbr\u003e • BISAC: Operations Research\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003eThis book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data's impact on mobility patterns and urban planning.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45276626649239,"sku":"9789811680151","price":9455.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789811680151.webp?v=1769286187","url":"https:\/\/atlanticbooks.com\/products\/logic-driven-traffic-big-data-analytics-methodology-and-applications-for-planning-9789811680151","provider":"Atlantic Books","version":"1.0","type":"link"}