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Automatic Incident Detection on Urban Arterials

Automatic Incident Detection on Urban Arterials PDF Author: John Naylor Ivan
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 90

Book Description


Automatic Incident Detection on Urban Arterials

Automatic Incident Detection on Urban Arterials PDF Author: John Naylor Ivan
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 90

Book Description


A Review of Automatic Incident Detection Techniques

A Review of Automatic Incident Detection Techniques PDF Author: Marc Solomon
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 100

Book Description


Automatic Detection of Traffic Operational Problems on Urban Arterials

Automatic Detection of Traffic Operational Problems on Urban Arterials PDF Author: Lee D. Han
Publisher:
ISBN:
Category : Detectors
Languages : en
Pages : 76

Book Description


Incident Detection Algorithm Development on Signalized Urban Arterial Streets

Incident Detection Algorithm Development on Signalized Urban Arterial Streets PDF Author: Jung-Taek Lee
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 342

Book Description


A Complete Review of Incident Detection Algorithms & Their Deployment

A Complete Review of Incident Detection Algorithms & Their Deployment PDF Author: A. Emily Parkany
Publisher:
ISBN:
Category : Computer algorithms
Languages : en
Pages : 132

Book Description


Vulnerability Analysis for Transportation Networks

Vulnerability Analysis for Transportation Networks PDF Author: Michael Taylor
Publisher: Elsevier
ISBN: 0128110112
Category : Transportation
Languages : en
Pages : 276

Book Description
Vulnerability Analysis for Transportation Networks provides an integrated framework for understanding and addressing how transportation networks across all modes perform when parts of the network fail or are substantially degraded, such as extreme weather events, natural disasters, road crashes, congestion incidents or road repair. The book reviews the range of existing approaches to network vulnerability and identifies the application of each approach, illustrating them with case studies from around the world. The book covers the dimensions of time (hours, days, weeks, months and years), spatial coverage (national networks, regional areas, metropolitan and urbanized areas) and modes (road, urban public transport and national railway systems). It shows how the provided framework can be used to indicate the most suitable accessibility tools and metrics for a particular application. Vulnerability Analysis for Transportation Networks is for academics and researchers in transportation networks and for practicing professionals involved in the planning and management of transportation networks and services. - Presents the most current, complete and integrated account of transport network vulnerability analysis - Includes numerous case studies from around the world - Compares alternative approaches to vulnerability analysis for multiple modes and the applicability of each - Shows how academic transport network planning and management research development can be applied to actual practice, with special focus on socio-economic and environmental impacts

Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems

Emerging Cutting-Edge Developments in Intelligent Traffic and Transportation Systems PDF Author: M. Shafik
Publisher: IOS Press
ISBN: 1643685058
Category : Transportation
Languages : en
Pages : 342

Book Description
With the advent and development of AI and other new technologies, traffic and transportation have changed enormously in recent years, and the need for more environmentally-friendly solutions is also driving innovation in these fields. This book presents the proceedings of ICITT 2023, the 7th International Conference on Intelligent Traffic and Transportation, held from 18-20 September 2023 in Madrid, Spain. This annual conference is becoming one of the leading international conferences for presenting novel and fundamental advances in the fields of intelligent traffic and transportation. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in intelligent traffic and transportation and related techniques. ICITT welcomes scholars and researchers from all over the world to share experiences and lessons with other enthusiasts, and develop opportunities for cooperation. The 27 papers included here represent an acceptance rate of 64% of submissions received, and were selected following a rigorous review process. Topics covered include autonomous technology; industrial automation; artificial intelligence; machine, deep and cognitive learning; distributed networking; transportation in future smart cities; hybrid vehicle technology; mobility; cyber-physical systems; design and cost engineering; enterprise information management; product design; intelligent automation; ICT-enabled collaborative global manufacturing; knowledge management; product-service systems; optimization; product lifecycle management; sustainable systems; machine vision; Industry 4.0; and navigation systems. Offering an overview of recent research and current practice, the book will be of interest to all those working in the field.

Real-time Data Fusion for Arterial Street Incident Detection Using Neural Networks

Real-time Data Fusion for Arterial Street Incident Detection Using Neural Networks PDF Author: John Naylor Ivan
Publisher:
ISBN:
Category : Multisensor data fusion
Languages : en
Pages : 414

Book Description


Development of Probe Vehicle Incident Detection Algorithm for Arterial Roads Using Discriminant and Neural Network Analysis

Development of Probe Vehicle Incident Detection Algorithm for Arterial Roads Using Discriminant and Neural Network Analysis PDF Author: Shih-Hsun Tsai
Publisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 164

Book Description


Anecdotal Incident Detection Algorithm

Anecdotal Incident Detection Algorithm PDF Author: Pen-Chi Liu
Publisher:
ISBN:
Category :
Languages : en
Pages : 234

Book Description