Description

Book Synopsis

The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems.

Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradi

Table of Contents

Preface

Editors

Contributors

1 Smartphone Technology Integrated with Machine Learning for Airport Pavement Condition Assessment

Amir H. Alavi and William G. Buttlar

2 Global Satellite Observations for Smart Cities

Zhong Liu, Menglin S. Jin, Jacqueline Liu, Angela Li, William Teng, Bruce Vollmer, and David Meyer

3 Advancing Smart and Resilient Cities with Big Spatial Disaster Data: Challenges, Progress, and Opportunities

Xuan Hu and Jie Gong

4 Smart City Portrayal: Dynamic Visualization Applied to the Analysis of Underground Metro

Evgheni Polisciuc and Penousal Machado

5 Smart Bike-Sharing Systems for Smart Cities

Hesham A. Rakha, Mohammed Elhenawy, Huthaifa I. Ashqar, Mohammed H. Almannaa, and Ahmed Ghanem

6 Indirect Monitoring of Critical Transport Infrastructure: Data Analytics and Signal Processing

Abdollah Malekjafarian, Eugene J. OBrien, and Fatemeh Golpayegani

7 Big Data Exploration to Examine Aggressive Driving Behavior in the Era of Smart Cities

Arash Jahangiri, Sahar Ghanipoor Machiani, and Vahid Balali

8 Exploratory Analysis of Run-Off-Road Crash Patterns

Mohammad Jalayer, Huaguo Zhou, and Subasish Das

9 Predicting Traffic Safety Risk Factors Using an Ensemble Classifier

Nasim Arbabzadeh, Mohammad Jalayer, and Mohsen Jafari

10 Architecture Design of Internet of Things-Enabled Cloud Platform for Managing the Production of Prefabricated Public Houses

Clyde Zhengdao Li, Bo Yu, Cheng Fan, and Jingke Hong

Index.

Data Analytics for Smart Cities

    Product form

    £104.50

    Includes FREE delivery

    RRP £110.00 – you save £5.50 (5%)

    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Hardback by Amir Alavi, William G. Buttlar

    15 in stock


      View other formats and editions of Data Analytics for Smart Cities by Amir Alavi

      Publisher: Taylor & Francis Ltd
      Publication Date: 1/31/2018 12:10:00 AM
      ISBN13: 9781138308770, 978-1138308770
      ISBN10: 1138308773

      Description

      Book Synopsis

      The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems.

      Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradi

      Table of Contents

      Preface

      Editors

      Contributors

      1 Smartphone Technology Integrated with Machine Learning for Airport Pavement Condition Assessment

      Amir H. Alavi and William G. Buttlar

      2 Global Satellite Observations for Smart Cities

      Zhong Liu, Menglin S. Jin, Jacqueline Liu, Angela Li, William Teng, Bruce Vollmer, and David Meyer

      3 Advancing Smart and Resilient Cities with Big Spatial Disaster Data: Challenges, Progress, and Opportunities

      Xuan Hu and Jie Gong

      4 Smart City Portrayal: Dynamic Visualization Applied to the Analysis of Underground Metro

      Evgheni Polisciuc and Penousal Machado

      5 Smart Bike-Sharing Systems for Smart Cities

      Hesham A. Rakha, Mohammed Elhenawy, Huthaifa I. Ashqar, Mohammed H. Almannaa, and Ahmed Ghanem

      6 Indirect Monitoring of Critical Transport Infrastructure: Data Analytics and Signal Processing

      Abdollah Malekjafarian, Eugene J. OBrien, and Fatemeh Golpayegani

      7 Big Data Exploration to Examine Aggressive Driving Behavior in the Era of Smart Cities

      Arash Jahangiri, Sahar Ghanipoor Machiani, and Vahid Balali

      8 Exploratory Analysis of Run-Off-Road Crash Patterns

      Mohammad Jalayer, Huaguo Zhou, and Subasish Das

      9 Predicting Traffic Safety Risk Factors Using an Ensemble Classifier

      Nasim Arbabzadeh, Mohammad Jalayer, and Mohsen Jafari

      10 Architecture Design of Internet of Things-Enabled Cloud Platform for Managing the Production of Prefabricated Public Houses

      Clyde Zhengdao Li, Bo Yu, Cheng Fan, and Jingke Hong

      Index.

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