[PDF] Validation Of The Two Fluid Model Of Urban Traffic For Arterial Streets eBook

Author : Shangyou Zeng
Publisher :
Page : 60 pages
File Size : 26,82 MB
Release : 2015
Category :
ISBN : 9781339528168

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The Two-fluid model has been used as a macroscopic method to evaluate urban network performance for decades. Different achievements have been made regarding to the use of the two-fluid model in city network and arterial street level. Data collected during peak hours is always used for parameter estimation, but how different congestion levels would affect the two-fluid model parameters has never been discussed. In this thesis, it is verified with ring road simulation data that under over-saturated or under-saturated traffic conditions, the two parameters, Tm and n, cannot be properly estimated. Beijing data is used in the second part to verify that GPS data from cellphone can be used for verification of the two-fluid model. Two data collection methods are used here: one is time-based, and the other distance-based. It is proved that with traffic data collected during peak hours, distance-based data is more accurate to estimate the two-fluid model parameters.

Author : Mohamed Lahby
Publisher : CRC Press
Page : 361 pages
File Size : 50,19 MB
Release : 2021-11-09
Category : Computers
ISBN : 1000472361

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Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future. The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become ‘black-box’ to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.

Author : Daniel(Jian) Sun
Publisher :
Page : pages
File Size : 41,42 MB
Release : 2009
Category :
ISBN :

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The lane-changing probability for each DLC scenario was modeled as a function of corresponding important factors (obtained from focus group) and driver types. In gap acceptance modeling, the "hand-shaking negotiation" concept (from the TCP/IP protocols in computer network communications) was introduced to describe the vehicle interactions during lane-changing maneuvers under congested traffic flow. The proposed lane-changing model was developed and implemented in a microscopic traffic simulator, CORSIM. Traffic data were collected along a congested arterial in the City of Gainesville, FL, and used for model calibration and validation purposes. Simulation capabilities of the newly developed model were compared against the original lane-changing model in CORSIM. The results indicate that the new model better replicates the observed traffic under different levels of congestion.