- Includes industrial case studies - Includes chapters on cyber physical systems, machine learning, deep learning, cyber security, robotics, smart manufacturing and predictive analytics - surveys current trends and challenges in metaheuristics and industry 4.0

The economy of any country highly depends upon efficient and reliable transportation system. Travel time reliability is a measure of efficiency of a road network system and this is a new evaluation of policy assessment measure of any road network service. The aspects of reliability are useful to the system users and system planners. This book, therefore first time reviewed various modeling approaches to measure the travel time reliability of road transportation system. Basic definitions, concepts, importance and use of travel time reliability measurements have been discussed. Path travel time estimation methods for supersonic traffic detectors data were explained and reliability analysis was carried out for various radial routes of urban expressway. Modeled travel time distribution under various uncertainties by considering probabilistic models. Variation of travel time was modeled under uncertainties from supply side, demand side and external factors of transportation system. Travel time reliability analysis should help in transportation system planning, and should be especially useful to the researchers, students and professional in the field of transportation engineering.

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.