The document describes the development of a bus-following model to evaluate bus rapid transit (BRT) strategies under different scenarios. It outlines the steps taken which included: reviewing literature; selecting a data collection technique; collecting field data on bus movements; processing the data; defining the bus-following model; and producing a final report. Graphs are presented comparing existing models to the observed bus data and showing the calibrated linear acceleration model aligned well with the real distances traveled over time.
The document contains 6 tables summarizing the results of regressions analyzing factors that influence CO2 emissions:
Table 1.1 shows a regression of logCO2 on log population and log vehicle density. Tables 1.2-1.6 report additional results including mean error terms, correlation of error terms and variables, variance inflation factors, heteroskedasticity and normality tests.
Table 2.1 expands the regression to include an indicator for countries with high GDP. Tables 2.2-2.6 report similar additional results as the first model.
Table 3.1 includes dummy variables for regions. Tables 3.2-3.6 report test results.
Table 4.1 further expands
Mississauga Lasik CE 2008 by Dr. Jeff MachatMachat LASIK
The document discusses laser refractive surgery. It notes that over 12 million North Americans have had laser vision correction in the past 20 years. It describes the two main procedures as PRK/LASEK where laser pulses are applied to the front of the eye, and LASIK where a corneal flap is created and laser pulses are applied underneath. It emphasizes that fear is often the main deterrent for patients considering the procedures.
Este documento presenta una guía para diseñar proyectos sociales y culturales. Explica qué es planificar y la importancia de organizar la mente mediante 10 preguntas básicas. Luego define proyecto, requisitos para su buena formulación e incluye una clasificación de proyectos. Finalmente, ofrece una guía detallada para el diseño y elaboración de proyectos que incluye la denominación, naturaleza, objetivos, beneficiarios y más.
Este documento apresenta um livro sobre a criação de habitats sustentáveis em escolas. O livro discute como construir uma escola sustentável através de princípios da permacultura e da criação de habitats como alimentação, silvestre, água, energia e tecnologia e cultura econômica verde. O livro fornece atividades práticas para estudantes realizarem nos habitats e discute como avaliar o progresso de forma sustentável. O objetivo é ensinar estudantes sobre a importância de preservar a biodiversidade e construir um
Este documento presenta la hoja de vida de Edgar Montoya Zúñiga, profesor de la Universidad Nacional de Chimborazo. Incluye información sobre su formación académica, que incluye títulos de pregrado y posgrado, así como numerosos cursos y seminarios recibidos. También detalla su experiencia profesional como docente en varias instituciones educativas, así como cargos directivos y capacitador. Finalmente, presenta publicaciones, idiomas y áreas en las que puede colaborar.
This proposal paper is an attempt to look at the perspective of youth (the term "youth" generally applies to those persons between the ages 15 and 30 in this paper) on world governance and their active role in world governance.
Este documento presenta un resumen de las inecuaciones lineales y los sistemas de inecuaciones lineales con dos incógnitas. Introduce las inecuaciones lineales como divisiones del plano por una recta en tres regiones, y explica cómo determinar cuál de los dos semiplanos es la solución de una inecuación. Luego, describe los sistemas de inecuaciones como la intersección de varios semiplanos, pudiendo dar como resultado un recinto poligonal, abierto o no tener solución. Resuelve ejemplos para ilustrar los
The document contains 6 tables summarizing the results of regressions analyzing factors that influence CO2 emissions:
Table 1.1 shows a regression of logCO2 on log population and log vehicle density. Tables 1.2-1.6 report additional results including mean error terms, correlation of error terms and variables, variance inflation factors, heteroskedasticity and normality tests.
Table 2.1 expands the regression to include an indicator for countries with high GDP. Tables 2.2-2.6 report similar additional results as the first model.
Table 3.1 includes dummy variables for regions. Tables 3.2-3.6 report test results.
Table 4.1 further expands
Mississauga Lasik CE 2008 by Dr. Jeff MachatMachat LASIK
The document discusses laser refractive surgery. It notes that over 12 million North Americans have had laser vision correction in the past 20 years. It describes the two main procedures as PRK/LASEK where laser pulses are applied to the front of the eye, and LASIK where a corneal flap is created and laser pulses are applied underneath. It emphasizes that fear is often the main deterrent for patients considering the procedures.
Este documento presenta una guía para diseñar proyectos sociales y culturales. Explica qué es planificar y la importancia de organizar la mente mediante 10 preguntas básicas. Luego define proyecto, requisitos para su buena formulación e incluye una clasificación de proyectos. Finalmente, ofrece una guía detallada para el diseño y elaboración de proyectos que incluye la denominación, naturaleza, objetivos, beneficiarios y más.
Este documento apresenta um livro sobre a criação de habitats sustentáveis em escolas. O livro discute como construir uma escola sustentável através de princípios da permacultura e da criação de habitats como alimentação, silvestre, água, energia e tecnologia e cultura econômica verde. O livro fornece atividades práticas para estudantes realizarem nos habitats e discute como avaliar o progresso de forma sustentável. O objetivo é ensinar estudantes sobre a importância de preservar a biodiversidade e construir um
Este documento presenta la hoja de vida de Edgar Montoya Zúñiga, profesor de la Universidad Nacional de Chimborazo. Incluye información sobre su formación académica, que incluye títulos de pregrado y posgrado, así como numerosos cursos y seminarios recibidos. También detalla su experiencia profesional como docente en varias instituciones educativas, así como cargos directivos y capacitador. Finalmente, presenta publicaciones, idiomas y áreas en las que puede colaborar.
This proposal paper is an attempt to look at the perspective of youth (the term "youth" generally applies to those persons between the ages 15 and 30 in this paper) on world governance and their active role in world governance.
Este documento presenta un resumen de las inecuaciones lineales y los sistemas de inecuaciones lineales con dos incógnitas. Introduce las inecuaciones lineales como divisiones del plano por una recta en tres regiones, y explica cómo determinar cuál de los dos semiplanos es la solución de una inecuación. Luego, describe los sistemas de inecuaciones como la intersección de varios semiplanos, pudiendo dar como resultado un recinto poligonal, abierto o no tener solución. Resuelve ejemplos para ilustrar los
Depth-Based Real Time Head Motion Tracking Using 3D Template Matching愚 屠
In this work, we propose a system to estimate head poses only using depth information in real-time. An optimization method based on 3D model fitting is developed. We iteratively minimize the distance between source and target point clouds of a user’s head. The method give fully real-time responses (30fps) without the GPU speedup. We adopt a commodity depth sensor named Microsoft Kinect as well as Asus Xtion, and use the depth image as the only input so that our system will not be affected by illumination variations. However, the simplicity of this acquisition device comes at the cost of frequent noises in the acquired data. We demonstrate that 6 degrees of freedom real-time head motion tracking in 3D space can be achieved with such noisy depth data.
SHORT LISTING LIKELY IMAGES USING PROPOSED MODIFIED-SIFT TOGETHER WITH CONVEN...ijfcstjournal
The paper proposes the modified-SIFT algorithm which will be a modified form of the scale invariant feature transform. The modification consists of considering successive groups of 8 rows of pixel, along the height of the image. These are used to construct 8 bin histograms for magnitude as well as orientation individually. As a result the number of feature descriptors is significantly less (95%) than the standard SIFT approach. Fewer feature descriptor leads to reduced accuracy. This reduction in accuracy is quite drastic when searching for a single (RANK1) image match; however accuracy improves if a band of likely (say tolerance of 10%) images is to be returned. The paper therefore proposes a two-stage-approach where
First Modified-SIFT is used to obtain a shortlisted band of likely images subsequently SIFT is applied within this band to find a perfect match. It may appear that this process is tedious however it provides a significant reduction in search time as compared to applying SIFT on the entire database. The minor reduction in accuracy can be offset by the considerable time gained while searching a large database. The
modified-SIFT algorithm when used in conjunction with a face cropping algorithm can also be used to find a match against disguised images.
Design World Webinar on Engineering tomorrow's robots and drones today. Challenges in robotics, robotics landscape, tools for rapid prototyping, sensors, simulation case study.
Panoramic Video in Environmental Monitoring Software Development and Applica...pycontw
This document summarizes a presentation on using panoramic video from a Ladybug3 360-degree spherical camera for environmental monitoring applications. The presentation covers using Python and APIs to access and process Ladybug video, applying techniques like SIFT and OpenCV to match images and derive flow fields, and discusses challenges with GPS data accuracy and developing a method for correcting panoramic image orientation. The goal is to allow analyzing related views across videos for tasks like measuring landslide sizes over time.
74 real time-image-processing-applied-to-traffic-queue-dravi247272
- The document presents a queue detection algorithm for real-time image processing applied to traffic surveillance.
- It aims to accurately measure traffic queue parameters under varying real-world conditions. The algorithm has two main operations: vehicle detection and motion detection.
- Motion detection is based on applying a differencing technique to profiles extracted from consecutive image frames along the road. Vehicle detection uses edge detection on these profiles. When motion is detected, vehicle detection is applied to measure queue parameters.
Classification of Human's Driving Behavior using Support Vector MachineKitsukawa Yuki
This document describes a study that used support vector machines to classify human driving behavior based on surrounding environment and conditions. The study analyzed a dataset containing vehicle sensor and location data collected at one-second intervals. It classified whether a driver braked based on factors like velocity and pedestrians nearby, and whether pedestrians were present based on driving actions like braking. The best performing model classified braking behavior accurately 88.3% of the time and pedestrian presence 88.3% of the time. Future work could improve the model through additional data factors and collection of more data.
Real time-image-processing-applied-to-traffic-queue-detection-algorithmajayrampelli
This document describes a real-time image processing algorithm for detecting traffic queues. The algorithm uses two operations: motion detection and vehicle detection. Motion detection involves differencing consecutive image frames and comparing the difference to a threshold. Vehicle detection applies edge detection techniques to image profiles. The algorithm aims to measure queue parameters like length, occurrence period, and slope in real-time using low-cost systems. It processes image sub-profiles to reduce computation time. Experimental results found the algorithm could measure queue length with 95% accuracy.
IRJET - Traffic Density Estimation by Counting Vehicles using Aggregate Chann...IRJET Journal
This document presents a method for estimating traffic density by counting vehicles in images using aggregate channel features. The proposed method uses adaptive boosting and aggregate channel features to train an object detector to detect vehicles in images obtained from videos. Bounding boxes are placed around detected vehicles and overlapping boxes are removed. Traffic density is then estimated by counting the number of bounding boxes and dividing by the maximum possible number of vehicles in the area. The estimated densities can be used to control traffic light timing, with higher densities corresponding to shorter green light durations. The method is tested on real-world traffic images and is found to accurately detect vehicles and estimate densities.
This document summarizes a study that used dynamic modeling and simulation to analyze bus and car traffic. It discusses:
1) The Mezzo simulation tool which models traffic dynamics and transit operations stochastically.
2) A case study of a busy bus line in Tel Aviv which tested the model, different service scenarios, and holding strategies.
3) The results showed the model could evaluate strategies for improving schedule adherence, headway regularity and passenger loads.
Point Search Circle Detection (PSCD) Algorithm is
one of circle shape recognition methods, which introduced in the
field of pattern recognition and digital image processing. Because
of PSCD has some weakness points, therefore this paper aims to
determine the weakness points of PSCD and find solution for
these points, furthermore adding enhancements to the algorithm
and adding ellipse shape recognition algorithm to the recognition
process of the PSCD.
The improved algorithm is applied on image contains circle and
ellipse shapes. The recognition results were finding center of each
shape and its radius for circle shape and both radiuses for ellipse
shape, MATLAB is used to conduct the improved algorithm.
Machine learning algorithm for classification of activity of daily life’sSiddharth Chakravarty
The document describes a machine learning approach to classify activities of daily living (ADL) using data from a wrist-worn accelerometer. The approach uses support vector machines (SVM) with feature engineering that includes vector magnitude and singular value decomposition. The model is trained on a dataset containing 11 ADLs performed by 16 volunteers. Hyperparameter tuning is performed to optimize the SVM, achieving up to 86% accuracy on test data when using both vector magnitude and SVD features compared to 71% accuracy using only vector magnitude. The results demonstrate an improved method for detecting ADLs but would benefit from testing on additional datasets.
Incremental statistics for partitioned tables in 11g by wwf from ebay COCLouis liu
The document discusses Oracle's introduction of incremental statistics gathering for partitioned tables in Oracle 11g. When enabled for a partitioned table, incremental statistics gathering stores a synopsis for global statistics and only scans changed partitions when gathering statistics, rather than all partitions. This saves resources compared to non-incremental statistics gathering, which must scan all partitions even if only one has changed. The document provides an example comparing the performance of incremental and non-incremental statistics gathering on a test partitioned table.
Realtime pothole detection system using improved CNN Modelsnithinsai2992
The document summarizes work on a real-time pothole detection system using improved CNN models. It discusses using the YOLOv5 model for pothole detection and training YOLOv5m6, YOLOv5s6, and YOLOv5n6 models on a dataset, achieving mAP scores of 80.8%, 82.2%, and 82.5% respectively. It also proposes further improving the system through techniques like better image processing during nighttime and enhancing detection of distant objects.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
This document summarizes a method for 4D reconstruction of crop fields using images collected over time from aerial vehicles. The method uses structure from motion and multi-view stereo to reconstruct 3D point clouds of the field for different time points. It then employs a spatio-temporal model and robust data association to align these reconstructions into a unified 4D model that captures how the crops change over time. The performance of the method is evaluated on a new dataset collected over a peanut field with ground truth measurements. Results show the 4D reconstructions qualitatively capture visual appearance changes and are quantitatively accurate for measuring crop geometric properties over time.
This document outlines course material for a phylogenetics and sequence analysis course. It discusses building phylogenetic trees using distance, parsimony, and maximum likelihood methods. It also covers statistical methods like Bayesian phylogenetics for calculating trees. Software for building trees and summarizing results are presented, including MrBayes, BEAST, and DendroPy. The document provides guidance on evaluating convergence and summarizing Bayesian analyses. Model selection using programs like jModelTest and proper formatting of input sequence data are also covered.
line and circle detection using hough transformSaeed Ullah
This document discusses using the Hough transform method to detect lines and circles in images. It introduces the Hough transform technique for feature extraction and explains the basic steps for line and circle detection using OpenCV. Code examples are provided to load an image, preprocess it, apply the Hough transform to find lines and circles, and draw the detected shapes on the output image. Results are shown for line detection on an image of a table and circle detection on an image of the world, with the Hough transform method accurately finding geometric objects even when broken or distorted.
JPEG is a lossy compression method for images that works by converting images to YCbCr color space, applying discrete cosine transform (DCT) to separate frequencies, quantizing coefficients to reduce detail, ordering coefficients with zigzag scan, encoding runs of zeros and differences between values. It can operate in sequential, progressive, lossless or hierarchical modes depending on whether full quality is needed or partial images can be viewed. The encoding process involves color space transformation, DCT, quantization, zigzag scan, run length encoding, and Huffman entropy coding to compress images for storage and transmission with a high ratio while maintaining good quality.
This document announces a workshop on integrating new mobility services into public transport. The workshop will take place on June 27, 2019 in Fortaleza, Brazil, and will discuss trends in urban transportation including shared mobility services, mobility as a service concepts, and autonomous vehicles. It will explore how these new mobility options can help improve public transportation systems in Latin American cities to better serve populations that currently lack good transportation access. The agenda includes presentations from transportation leaders in Fortaleza, Goiania and Sao Paulo on integrating bikesharing, regulating ride-hailing services, and shared mobility experiences.
The document provides an overview of a Mobility as a Service (MaaS) trial taking place in Sydney through a partnership between the University of Sydney, IAG, and Skedgo. The trial will explore appropriate transport mixes and subscription plans for MaaS users. It will test how MaaS can influence travel behavior and assess Sydney's transport network readiness for MaaS. The trial involves multiple public and private transportation services that can be accessed and paid for through a single platform. It will begin with a pay-as-you-go period to familiarize users followed by subscription plan options based on data collected.
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Depth-Based Real Time Head Motion Tracking Using 3D Template Matching愚 屠
In this work, we propose a system to estimate head poses only using depth information in real-time. An optimization method based on 3D model fitting is developed. We iteratively minimize the distance between source and target point clouds of a user’s head. The method give fully real-time responses (30fps) without the GPU speedup. We adopt a commodity depth sensor named Microsoft Kinect as well as Asus Xtion, and use the depth image as the only input so that our system will not be affected by illumination variations. However, the simplicity of this acquisition device comes at the cost of frequent noises in the acquired data. We demonstrate that 6 degrees of freedom real-time head motion tracking in 3D space can be achieved with such noisy depth data.
SHORT LISTING LIKELY IMAGES USING PROPOSED MODIFIED-SIFT TOGETHER WITH CONVEN...ijfcstjournal
The paper proposes the modified-SIFT algorithm which will be a modified form of the scale invariant feature transform. The modification consists of considering successive groups of 8 rows of pixel, along the height of the image. These are used to construct 8 bin histograms for magnitude as well as orientation individually. As a result the number of feature descriptors is significantly less (95%) than the standard SIFT approach. Fewer feature descriptor leads to reduced accuracy. This reduction in accuracy is quite drastic when searching for a single (RANK1) image match; however accuracy improves if a band of likely (say tolerance of 10%) images is to be returned. The paper therefore proposes a two-stage-approach where
First Modified-SIFT is used to obtain a shortlisted band of likely images subsequently SIFT is applied within this band to find a perfect match. It may appear that this process is tedious however it provides a significant reduction in search time as compared to applying SIFT on the entire database. The minor reduction in accuracy can be offset by the considerable time gained while searching a large database. The
modified-SIFT algorithm when used in conjunction with a face cropping algorithm can also be used to find a match against disguised images.
Design World Webinar on Engineering tomorrow's robots and drones today. Challenges in robotics, robotics landscape, tools for rapid prototyping, sensors, simulation case study.
Panoramic Video in Environmental Monitoring Software Development and Applica...pycontw
This document summarizes a presentation on using panoramic video from a Ladybug3 360-degree spherical camera for environmental monitoring applications. The presentation covers using Python and APIs to access and process Ladybug video, applying techniques like SIFT and OpenCV to match images and derive flow fields, and discusses challenges with GPS data accuracy and developing a method for correcting panoramic image orientation. The goal is to allow analyzing related views across videos for tasks like measuring landslide sizes over time.
74 real time-image-processing-applied-to-traffic-queue-dravi247272
- The document presents a queue detection algorithm for real-time image processing applied to traffic surveillance.
- It aims to accurately measure traffic queue parameters under varying real-world conditions. The algorithm has two main operations: vehicle detection and motion detection.
- Motion detection is based on applying a differencing technique to profiles extracted from consecutive image frames along the road. Vehicle detection uses edge detection on these profiles. When motion is detected, vehicle detection is applied to measure queue parameters.
Classification of Human's Driving Behavior using Support Vector MachineKitsukawa Yuki
This document describes a study that used support vector machines to classify human driving behavior based on surrounding environment and conditions. The study analyzed a dataset containing vehicle sensor and location data collected at one-second intervals. It classified whether a driver braked based on factors like velocity and pedestrians nearby, and whether pedestrians were present based on driving actions like braking. The best performing model classified braking behavior accurately 88.3% of the time and pedestrian presence 88.3% of the time. Future work could improve the model through additional data factors and collection of more data.
Real time-image-processing-applied-to-traffic-queue-detection-algorithmajayrampelli
This document describes a real-time image processing algorithm for detecting traffic queues. The algorithm uses two operations: motion detection and vehicle detection. Motion detection involves differencing consecutive image frames and comparing the difference to a threshold. Vehicle detection applies edge detection techniques to image profiles. The algorithm aims to measure queue parameters like length, occurrence period, and slope in real-time using low-cost systems. It processes image sub-profiles to reduce computation time. Experimental results found the algorithm could measure queue length with 95% accuracy.
IRJET - Traffic Density Estimation by Counting Vehicles using Aggregate Chann...IRJET Journal
This document presents a method for estimating traffic density by counting vehicles in images using aggregate channel features. The proposed method uses adaptive boosting and aggregate channel features to train an object detector to detect vehicles in images obtained from videos. Bounding boxes are placed around detected vehicles and overlapping boxes are removed. Traffic density is then estimated by counting the number of bounding boxes and dividing by the maximum possible number of vehicles in the area. The estimated densities can be used to control traffic light timing, with higher densities corresponding to shorter green light durations. The method is tested on real-world traffic images and is found to accurately detect vehicles and estimate densities.
This document summarizes a study that used dynamic modeling and simulation to analyze bus and car traffic. It discusses:
1) The Mezzo simulation tool which models traffic dynamics and transit operations stochastically.
2) A case study of a busy bus line in Tel Aviv which tested the model, different service scenarios, and holding strategies.
3) The results showed the model could evaluate strategies for improving schedule adherence, headway regularity and passenger loads.
Point Search Circle Detection (PSCD) Algorithm is
one of circle shape recognition methods, which introduced in the
field of pattern recognition and digital image processing. Because
of PSCD has some weakness points, therefore this paper aims to
determine the weakness points of PSCD and find solution for
these points, furthermore adding enhancements to the algorithm
and adding ellipse shape recognition algorithm to the recognition
process of the PSCD.
The improved algorithm is applied on image contains circle and
ellipse shapes. The recognition results were finding center of each
shape and its radius for circle shape and both radiuses for ellipse
shape, MATLAB is used to conduct the improved algorithm.
Machine learning algorithm for classification of activity of daily life’sSiddharth Chakravarty
The document describes a machine learning approach to classify activities of daily living (ADL) using data from a wrist-worn accelerometer. The approach uses support vector machines (SVM) with feature engineering that includes vector magnitude and singular value decomposition. The model is trained on a dataset containing 11 ADLs performed by 16 volunteers. Hyperparameter tuning is performed to optimize the SVM, achieving up to 86% accuracy on test data when using both vector magnitude and SVD features compared to 71% accuracy using only vector magnitude. The results demonstrate an improved method for detecting ADLs but would benefit from testing on additional datasets.
Incremental statistics for partitioned tables in 11g by wwf from ebay COCLouis liu
The document discusses Oracle's introduction of incremental statistics gathering for partitioned tables in Oracle 11g. When enabled for a partitioned table, incremental statistics gathering stores a synopsis for global statistics and only scans changed partitions when gathering statistics, rather than all partitions. This saves resources compared to non-incremental statistics gathering, which must scan all partitions even if only one has changed. The document provides an example comparing the performance of incremental and non-incremental statistics gathering on a test partitioned table.
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International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
This document summarizes a method for 4D reconstruction of crop fields using images collected over time from aerial vehicles. The method uses structure from motion and multi-view stereo to reconstruct 3D point clouds of the field for different time points. It then employs a spatio-temporal model and robust data association to align these reconstructions into a unified 4D model that captures how the crops change over time. The performance of the method is evaluated on a new dataset collected over a peanut field with ground truth measurements. Results show the 4D reconstructions qualitatively capture visual appearance changes and are quantitatively accurate for measuring crop geometric properties over time.
This document outlines course material for a phylogenetics and sequence analysis course. It discusses building phylogenetic trees using distance, parsimony, and maximum likelihood methods. It also covers statistical methods like Bayesian phylogenetics for calculating trees. Software for building trees and summarizing results are presented, including MrBayes, BEAST, and DendroPy. The document provides guidance on evaluating convergence and summarizing Bayesian analyses. Model selection using programs like jModelTest and proper formatting of input sequence data are also covered.
line and circle detection using hough transformSaeed Ullah
This document discusses using the Hough transform method to detect lines and circles in images. It introduces the Hough transform technique for feature extraction and explains the basic steps for line and circle detection using OpenCV. Code examples are provided to load an image, preprocess it, apply the Hough transform to find lines and circles, and draw the detected shapes on the output image. Results are shown for line detection on an image of a table and circle detection on an image of the world, with the Hough transform method accurately finding geometric objects even when broken or distorted.
JPEG is a lossy compression method for images that works by converting images to YCbCr color space, applying discrete cosine transform (DCT) to separate frequencies, quantizing coefficients to reduce detail, ordering coefficients with zigzag scan, encoding runs of zeros and differences between values. It can operate in sequential, progressive, lossless or hierarchical modes depending on whether full quality is needed or partial images can be viewed. The encoding process involves color space transformation, DCT, quantization, zigzag scan, run length encoding, and Huffman entropy coding to compress images for storage and transmission with a high ratio while maintaining good quality.
This document announces a workshop on integrating new mobility services into public transport. The workshop will take place on June 27, 2019 in Fortaleza, Brazil, and will discuss trends in urban transportation including shared mobility services, mobility as a service concepts, and autonomous vehicles. It will explore how these new mobility options can help improve public transportation systems in Latin American cities to better serve populations that currently lack good transportation access. The agenda includes presentations from transportation leaders in Fortaleza, Goiania and Sao Paulo on integrating bikesharing, regulating ride-hailing services, and shared mobility experiences.
The document provides an overview of a Mobility as a Service (MaaS) trial taking place in Sydney through a partnership between the University of Sydney, IAG, and Skedgo. The trial will explore appropriate transport mixes and subscription plans for MaaS users. It will test how MaaS can influence travel behavior and assess Sydney's transport network readiness for MaaS. The trial involves multiple public and private transportation services that can be accessed and paid for through a single platform. It will begin with a pay-as-you-go period to familiarize users followed by subscription plan options based on data collected.
This document discusses bus headway variability and strategies to achieve regular bus service. It begins by outlining what passengers seek in public transit and how to achieve those attributes. While increasing speed and fleet can help, it is important to also focus on decreasing travel time variability and achieving regular headways for reliability. The impacts of unreliable service with bus bunching are then reviewed, including increased waiting times, occupancy and user dissatisfaction. Finally, the document discusses that solutions do exist, such as dedicated infrastructure, signal priority and real-time control systems, to stabilize service and achieve the goal of reliable transit.
El Congreso Chileno de Ingeniería de Transporte se realiza cada dos años y es organizado por la Sociedad Chilena de Ingeniería de Transporte. La Escuela de Ingeniería UC organizará el próximo congreso en octubre de 2019, contando con un equipo de 7 profesores y 2 profesionales para desarrollar el evento en el Campus San Joaquín y así promover la participación de la comunidad de ingeniería.
Gabriel Oliveira - BRT in Brazil: state of the practice as from the BRT Stand...BRTCoE
Presented by Gabriel Oliveira, Gabriel Oliveira, ITDP Brazil Public Transport Coordinator, on September 20th, 11:30 Brasilia Time Zone.
Complete title: BRT in Brazil: state of the practice as from the BRT Standard & challenges for operations and integration
Summary:
Between 2004 and 2014, the total extension of BRT systems almost quadrupled worldwide, rising from about 700 km to 2,600 km (ITDP, 2014). In an effort to monitor and guarantee an standard quality of service across systems, the Institute of Transport and Development Policy (ITDP) has consolidated, along with BRT planning experts and practitioners, a project and operations evaluation tool: the BRT Standard. The tool is divided in seven categories and 42 quantitative metrics that allow further comprehension of BRT state of the practice. It has been used to evaluate more than a hundred corridors in over 60 cities around the world.
In Brazil, where the concept has first been developed between the 70’s and 90’s, a second wave of BRT expansion in the last decade summed up more than 250 km built in nine cities and metropolitan regions, an increase of about 150%. In this presentation we aim to assess the state of the practice in sixteen operational Brazilian BRT corridors, drawing out the common challenges faced in their implementation and operations, the best practices identified and the main improvement points. The assessment is based in an exploratory and explanatory analysis of their BRT Standard scoring, where we highlight the case that stand out in each particular category or metric of the tool.
Scoring reveals good performance in basic BRT infrastructure elements (such as segregated bus lanes that are typically median aligned, off-board fare collection, level boarding and bus priority at intersections) and in service planning. Performance in categories such as station design, infrastructure sustainability and branding/information communications present greater variance depending on the corridor context.
However, the main challenges appear on the access and integration category, where system design and connection with the surrounding urban environment and active modes present flaws, and on operational issues, such as overcrowding and inadequate maintenance. This webinar will present the opportunity for participants to debate on these operational and integration challenges and how can they be overcome.
In a broader manner, this study also aspires to influence for more evidence-based policy and decision-making on urban transit investments, not only in the Brazilian context, but also in other contexts where BRT is steadily growing.
Heather Allen - Why do we need to consider how women move in urban transport ...BRTCoE
Heather has 25 years of international experience and is a highly-regarded expert in sustainable transport, gender and climate change. She has worked for both public and private sectors including UITP (the International Association of Public Transport), Transport Research Laboratory, FIA Foundation, European Commission, several MDBs banks and SLoCaT (Sustainable Low Carbon Transport partnership). As Senior Manager for Sustainable Development with the UITP she led the association’s work with many international agencies on climate change, the UITP diversity initiative and with public transport agency members in more than 50 countries in respect to the UITP Sustainable Development Charter. She also set up a number of strategic partnerships with major international agencies such as the United Nations Environment Programme. she was the Programme Director for Sustainable Transport with the UK’s Transport Research Laboratory’s (TRL) Sustainable Transport Group, a leader in providing impartial world-class research and consultancy for all aspects of transport. Whilst with TRL, she provided technical advisory services for a variety of international and European projects. Her European work includes serving as a member of the jury for the European Mobility Week award for 4 years and the interim impact evaluations for the Horizon 2020 research programme for the European Commission (Shift2Rail and Societal Change).
More recently, she has been working on gender and sustainable transport with UN Women, FIA Foundation and CAF. She has just concluded the Ella se mueve segura, a study investigating women’s personal security concerns when they use public transport in three Latin American cities (Buenos Aires, Argentina, Quito, Ecuador, and Santiago, Chile). She will present the findings from this study and also her work in updating the GIZ Urban Transport and Gender module of the SUTO series.
Heather brings a wealth of knowledge in international best practice and a strong international network. In addition, she is a member of a number of transport sector Committees and Institutions, for example: Fellow of the UK Chartered Institute of Logistics and Transportation (CLIT), Member of Transport Research Board (TRB) Committee (USA National Academy of Science) for Developing Countries and the TRB Special Task Force for Climate Change and is an observer on Women in Transport committee. She remains an TRL associate, is a Trustee for the Walk 21 charity and is currently Chair of Transport Training Initiative (TTI) a German charity to increase access to training on transport for the developing world especially across Africa.
This document discusses Bus Rapid Transit (BRT) systems in South Africa and identifies key challenges and research needs. It notes that BRT systems face questions around value for money due to high costs and over-optimistic forecasts. There is also a shortage of trained transport planners and operators. The South African government is reviewing BRT planning and operations and identifying research needs around improving demand models, economic appraisals, and first/last mile connectivity. Training programs across different levels are needed to ensure BRT sustainability and the success of future systems in addressing Africa's transport needs.
Workshop Innovation in Africa - Day one of operations by Cristina AlbuquerqueBRTCoE
The document discusses lessons learned from the launch of Transantiago, the bus rapid transit system in Santiago, Chile. Key challenges included the system lacking readiness in infrastructure, fleet, and ticketing systems. There was also a lack of adequate planning and testing prior to launch. The document then provides guidance on developing operational manuals to minimize risks for new bus system launches. It suggests the manual define processes, responsibilities, indicators, and contingency plans. The goal is to ensure a smooth start-up that improves public perception and quality of service. Adaptations may be needed for contexts in Africa, including additional infrastructure considerations.
Camila Balbontin - Do preferences for BRT and LRT change as a voter, citizen,...BRTCoE
Camila Balbontin is a Postgraduate Research Fellow at the Institute of Transport and Logistics Studies (ITLS) of University of Sydney. In February 2018, she completed her PhD under the supervision of Professor David Hensher where she focused on integrating decision heuristics and behavioural refinements into travel choice models. She was awarded the ITLS prize for Research Excellence in Transport or Logistics 2017. Camila also holds a bachelor degree in the field of Civil Engineering with a diploma in Industrial Engineering and in Transportation and Logistics from Pontificia Universidad Católica de Chile. She did her MSc degree at the same university under the supervision of Professor Juan de Dios Ortúzar. Her MSc thesis estimated the valuation of households and neighbourhood attributes in the centre of Santiago.
As a Postgraduate Research Fellow, her main focus is choice modelling and travel behaviour. She is currently working on projects related to the BRT Centre of Excellence, business location decisions, hybrid modelling, value uplift, among others.
Working Paper - http://sydney.edu.au/business/itls/research/publications/working_papers
Every month in the Webinar series a member of our team or invited expert, presents either recent research results or a city case study. The presentations are done online allowing people anywhere to participate and ask questions in real-time. The series address issues relevant to researchers and practitioners and is open to everyone using our news website. About 800 subscribers get the announcement directly, you can also sign up for free here.
Juan Carlos Muñoz - Connected and automated buses. An opportunity to bring re...BRTCoE
Connected and automated trains have been successfully built for decades. And connected and automated cars are promising to become a reality in our streets in the next decade. What about buses? What are the benefits of having buses connected and automated too? This talk will analyse some of these benefits focusing on the prospect of avoiding bus bunching and the impact this may have in the level of service of bus users.
LT1: Development, calibration and validation of bus following model
1. LT1: Development, calibration and validation of
bus-following model to support analysis and
evaluation of alternative BRT strategies under
different scenarios
Luis Antonio Lindau
Paula Manoela dos Santos
2. Mile-
OUTPUTS
stones
M1 Do vehicle-following literature review
M2 Check potential of existing models to represent bus behavior
M3 Select data collection technique
M4 Plan field data collection
M5 Collect data
M6 Process data
M7 Define bus-following model
M8 Final report
Transit Leaders Roundtable MIT, June 2011
3. Comparing: GHR and Gipps
GHR reveled unstable for typical Gipps is attractive for successive
bus stopping maneuvers. stopping buses.
1 0,6
0,5 0,4
0 0,2
acceleration (m/s²)
0 20 40 60 80 100 120 140
acceleration (m/s²))
-0,5 0
0 50 100 150 200
-1 -0,2
-1,5 -0,4
-2 -0,6
-2,5
time (s) -0,8
time (s)
5. Solution: image recognition software Kinovea 0.8.15
• Developed
for studying
athletic
techniques
• free and
open source
• 33 info/s
6. Paralaxis correction
𝐶1 +𝐶2 𝑋 𝑓 +𝐶3 𝑌 𝑓 𝐶6 +𝐶7 𝑋 𝑓 +𝐶8 𝑌 𝑓
𝑋𝑟 = 𝐶4 𝑋 𝑓 +𝐶5 𝑌 𝑓 +1
𝑌𝑟 = 𝐶4 𝑋 𝑓 +𝐶5 𝑌 𝑓 +1
Bleyl, R. L. (1972) Traffic analysis of time lapse photographs without employing a perspective grid. Traffic
Engineering, p. 29-31.
7. Methodology
Find a setting to film Locate and measure 4 reference points
Film making (with vehicle loading Film analysis with image recognition
estimation) software
Data collection (distance vs. time) Calibration of parameters