Travel Time Prediction for Urban Networks
Title | Travel Time Prediction for Urban Networks PDF eBook |
Author | Hao Liu |
Publisher | |
Pages | 172 |
Release | 2008 |
Genre | Travel time (Traffic engineering) |
ISBN |
Estimators of Travel Time for Road Networks
Title | Estimators of Travel Time for Road Networks PDF eBook |
Author | Piet H. L. Bovy |
Publisher | |
Pages | 360 |
Release | 2000 |
Genre | Technology & Engineering |
ISBN |
Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion
Title | Travel Time Prediction under Egypt Heterogeneous Traffic Conditions using Neural Network and Data Fusion PDF eBook |
Author | Mohamed Zaki |
Publisher | Infinite Study |
Pages | 16 |
Release | |
Genre | |
ISBN |
Cairo is experiencing traffic congestion that places it among the worst in the world. Obviously, it is difficult if not impossible to solve the transportation problem because it is multi-dimensional problem but it's good to reduce this waste of money and the associated waste of time resulting from congestion.
Urban Transportation Networks
Title | Urban Transportation Networks PDF eBook |
Author | Yosef Sheffi |
Publisher | Prentice Hall |
Pages | 426 |
Release | 1984 |
Genre | Political Science |
ISBN |
Travel Time Estimation and Short-term Prediction in Urban Arterial Networks Using Conditional Independence Graphs and State-space Neural Networks
Title | Travel Time Estimation and Short-term Prediction in Urban Arterial Networks Using Conditional Independence Graphs and State-space Neural Networks PDF eBook |
Author | Ajay Kumar Singh (Graduate of Michigan State University) |
Publisher | |
Pages | 420 |
Release | 2006 |
Genre | City traffic |
ISBN |
Urban Informatics
Title | Urban Informatics PDF eBook |
Author | Wenzhong Shi |
Publisher | Springer Nature |
Pages | 941 |
Release | 2021-04-06 |
Genre | Social Science |
ISBN | 9811589836 |
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Dynamic Urban Transportation Network Models
Title | Dynamic Urban Transportation Network Models PDF eBook |
Author | Bin Ran |
Publisher | Springer Science & Business Media |
Pages | 390 |
Release | 1994 |
Genre | Technology & Engineering |
ISBN | 9783540583608 |
Intelligent Vehicle-Highway Systems are providing a welcome stimulus to research on dynamic urban transportation network models. This book presents a new generation of models for solving dynamic travel choice problems including traveler's destination choice, mode choice, departure/arrival time choice and route choice. These models are expected to function as off-line travel forecasting and evaluation tools, and eventually as on-line prediction and control models in advanced traveler information and traffic management systems. In addition to a rich set of new formulations and solution algorithms, the book provides a summary of the necessary mathematical background and concludes with a discussion of the requirements for model implementation.