The document discusses travel time reliability, including how it is defined, measured, and improved. It describes how reliability focuses on reducing variability in travel time rather than just reducing travel time. Various reliability measures are presented such as buffer time, buffer index, and planning time index. Ways to improve reliability include traveler information, vehicle technologies, incident management, and performance improvement strategies. Case studies demonstrate how reliability can be analyzed and quantified.
Crashes on limited access roadways typically occur due to drivers being unable to react in time to avoid collisions with vehicles ahead of them either moving slower or merging
unexpectedly. Prevailing traffic stream conditions with high volume and low or variable speed downstream of low volume and high speed conditions can increase the possibilities for such collisions to occur. Real time trajectories of vehicles collected through crowd sourcing methods can give information about the distribution of speeds in the traffic stream by space
and time. Spatio-temporal models relating these observed speed distributions to the occurrence of crashes or near crashes can help to identify crash prone traffic conditions as
they arise, offering the opportunity to warn drivers before crashes occur.
Crashes on limited access roadways typically occur due to drivers being unable to react in time to avoid collisions with vehicles ahead of them either moving slower or merging
unexpectedly. Prevailing traffic stream conditions with high volume and low or variable speed downstream of low volume and high speed conditions can increase the possibilities for such collisions to occur. Real time trajectories of vehicles collected through crowd sourcing methods can give information about the distribution of speeds in the traffic stream by space
and time. Spatio-temporal models relating these observed speed distributions to the occurrence of crashes or near crashes can help to identify crash prone traffic conditions as
they arise, offering the opportunity to warn drivers before crashes occur.
Everyday challenges will be presented to the participants of this year’s Program on Games, Decisions, Risk and Reliability (GDRR) to explore solutions. The presentation will highlight the trends, potential contributing factors, and impacts due to the lack of reliability of the nation’s transportation system. The discussion will touch on multiple transportation modes and from the perspectives of both moving people and goods. Other than capacity constraint and unanticipated events (e.g., crashes or inclement and extreme weather), the reliance of future transportation on automation and IoT would undoubtedly further impact system reliability in an unprecedented manner. An open dialogue on how GDRR can help ensure a reliable transportation system will conclude the presentation.
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Evaluation of level of service at chatikara, MathuraSHASHANK KAMAL
Evaluation of level of service. Level of service (LOS) is a qualitative measure used to relate the quality of traffic service. LOS is used to analyze highways by categorizing traffic flow and assigning quality levels of traffic based on performance measure like speed, density,etc.
PSU Friday Transportation Seminar 10/4/2013, featuring Michael Mauch of DKS Associates: Real-world traffic trends observed in PORTAL and INRIX traffic data are used to expand the performance measures that can be obtained from Portland Metro's travel demand model to include the number of hours of congestion that can be expected during a typical weekday and travel time reliability measures for congested freeway corridors.
myRide: A Real-Time Information System for the Carnegie Mellon University Shu...Karen Mesko
http://myride.heinz.cmu.edu
myRide is a real-time transit information system for the Carnegie Mellon University Shuttle. It was built by Heinz College graduate students in the fall of 2009. The pilot will end in December 2009, but the website (http://myride.heinz.cmu.edu) will remain up as we work to make myRide a permanent system at Carnegie Mellon.
Tom Williams, program managers for TTI's Travel Forecasting Group, gave this presentation on a current research project at the 2016 Smart Transport Symposium held in Austin, Texas. This research explores the transportation planning implications of automated and connected vehicles (AV/CV) on Texas highways and includes an in-depth study of how travel modeling can assist in planning for AV/CV. The research team assessed how these potentially transformative technologies can be included in transportation planning to assist in the decision making process. The research team also defined AV/CV implementation along various scales of vehicle technology advancement, public acceptance and adoption, and infrastructure implementation. For more information on TxDOT project 0-6848 visit: http://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=MC02ODQ4&ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MzQ4&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&
Everyday challenges will be presented to the participants of this year’s Program on Games, Decisions, Risk and Reliability (GDRR) to explore solutions. The presentation will highlight the trends, potential contributing factors, and impacts due to the lack of reliability of the nation’s transportation system. The discussion will touch on multiple transportation modes and from the perspectives of both moving people and goods. Other than capacity constraint and unanticipated events (e.g., crashes or inclement and extreme weather), the reliance of future transportation on automation and IoT would undoubtedly further impact system reliability in an unprecedented manner. An open dialogue on how GDRR can help ensure a reliable transportation system will conclude the presentation.
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
Evaluation of operational efficiency of urban road network using travel time ...eSAT Journals
Abstract
Efficiency of the road network system is analyzed by travel time reliability measures. The study overlooks on an important measure of
travel time reliability and prioritizing Tiruchirappalli road network. Traffic volume and travel time were collected using license plate
matching method. Travel time measures were estimated from average travel time and 95th travel time. Effect of non-motorized vehicle
on efficiency of road system was evaluated. Relation between buffer time index and traffic volume was created. Travel time model has
been developed and travel time measure was validated. Then service quality of road sections in network were graded based on
travel time reliability measures.
Keywords: Buffer Time Index (BTI); Average Travel Time (ATT); Travel Time Reliability (TTR); Buffer Time (BT).
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Evaluation of level of service at chatikara, MathuraSHASHANK KAMAL
Evaluation of level of service. Level of service (LOS) is a qualitative measure used to relate the quality of traffic service. LOS is used to analyze highways by categorizing traffic flow and assigning quality levels of traffic based on performance measure like speed, density,etc.
PSU Friday Transportation Seminar 10/4/2013, featuring Michael Mauch of DKS Associates: Real-world traffic trends observed in PORTAL and INRIX traffic data are used to expand the performance measures that can be obtained from Portland Metro's travel demand model to include the number of hours of congestion that can be expected during a typical weekday and travel time reliability measures for congested freeway corridors.
myRide: A Real-Time Information System for the Carnegie Mellon University Shu...Karen Mesko
http://myride.heinz.cmu.edu
myRide is a real-time transit information system for the Carnegie Mellon University Shuttle. It was built by Heinz College graduate students in the fall of 2009. The pilot will end in December 2009, but the website (http://myride.heinz.cmu.edu) will remain up as we work to make myRide a permanent system at Carnegie Mellon.
Tom Williams, program managers for TTI's Travel Forecasting Group, gave this presentation on a current research project at the 2016 Smart Transport Symposium held in Austin, Texas. This research explores the transportation planning implications of automated and connected vehicles (AV/CV) on Texas highways and includes an in-depth study of how travel modeling can assist in planning for AV/CV. The research team assessed how these potentially transformative technologies can be included in transportation planning to assist in the decision making process. The research team also defined AV/CV implementation along various scales of vehicle technology advancement, public acceptance and adoption, and infrastructure implementation. For more information on TxDOT project 0-6848 visit: http://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=MC02ODQ4&ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MzQ4&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&
Battery Powered and Hybrid Drive Opportunities in Heavy Duty, Large Capacity,...Newton Montano
Battery Powered and Hybrid Drive Opportunities in Heavy Duty, Large Capacity, People Mover Applications.
Electric and hybrid passenger vehicles are no longer a vision or a trend. Their increasing numbers in our roads today signify a change in the mobility space. Yet, commercial heavy-duty and off-road vehicles have the potential to exceed passenger vehicles adoption rates. The main reason is that commercial heavy-duty and off-road vehicles, in most cases, have a more predictable driving routes and duty cycles. Heavy Duty, Large Capacity, People Mover such of those designed and manufactured by Southern California based Trams International, benefit from extensive vehicle design experience proven by actual vehicle performance and constant heavy-duty usage. Trams International’s methodical application analysis is especially critical when implementing advanced vehicle electrification technologies. By defining, measuring and analyzing the vehicle application, Trams International establishes realistic vehicle performance which in turn also defines viable fleet financial models.
The Portland office of Kittelson & Associates, Inc. hosted an interactive workshop on January 13th, 2011 that covered the following related to Road Safety Audits (RSA): 1) A brief overview of the Federal Highway Administration (FHWA) “Road Safety Audit (RSA) – Guidelines and Checklist”; and 2) A walk through of a recent RSA application - Mt. Hood Highway (US 26) on the western slope between Portland, Oregon and the Mt. Hood recreational facilities (including ski areas during winter season). Hermanus Steyn, from Kittelson, and Sue D’Agnese, from ODOT, facilitated the workshop.
On May 20, 2010, Mary Raulerson of Kittelson & Associates held a workshop in Portland, OR which introduced and illustrated best practices in the field of Complete Streets using case studies she has been directly involved with around the country. During the workshop, special attention was given to the obstacles that had to be overcome and the solutions that worked. The goal of this session was to help identify and tailor practices that will further strengthen the region’s move toward creating, connecting and complimenting great places with great multimodal rights-of-way.
Kittelson's Brian Ray and special guest Dr. John M. Mason, PhD presented this topic at a workshop on 4/15/10. It focused on how industry trends in performance based design can support practical design-based project solutions. Brian and John provided a summary of current and emerging tools that can aid professionals in evaluating, screening, and selecting project alternative concepts. For more information contact Brian 800-878-5230.
Purdue University’s research, led by Dr. Darcy Bullock to field measure quality of signal timing offsets and vehicle arrivals on green versus red using local controller software.
This presentation focuses on arterial performance measures, reviewing two successful case studies:
- KAI’s validation of Bluetooth MAC readers and their measurement of signal timing changes using MAC readers along Tualatin-Sherwood Road
- Purdue University’s research, led by Dr. Darcy Bullock to field measure quality of signal timing offsets and vehicle arrivals on green versus red using local controller software
- Peter Koonce provided an overview of arterial performance within the City of Portland and a regional vision for next steps, particularly focused on multi-modal and emergency management applications of the arterial data currently collected and to be collected in the future.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
5. Day-to-Day Variations in Travel Time Source: http://ops.fhwa.dot.gov/publications/tt_reliability/TTR_Report.htm
6. Factors Contributing to Reliability Operational Effect Special Events Reduced Lanes Poor Signal Timing Weather Work Zones Incidents Recurring Congestion Increased Demand Reduced Lane Capacity
7. How is Reliability Different? Full Distribution Average Statistical Reporting Yes No Demand Effects Considered? All Recurring Type of Congestion Accounted For Multiple days Single Day Temporal Analysis Period Path/Network Point Spatial Element Analyzed Reliability-Focused Analysis Approach Traditional Analysis Approach
8.
9.
10. Commonly Applied Reliability Measures The amount of buffer time required The difference between the 95 th percentile travel time and the average travel time Buffer Time Description Definition Measure The size of the buffer as a percentage of the average The 95 th percentile travel time minus the average travel time divided by the average travel time Buffer Index How much larger the potential total travel time is than the ideal or free-flow travel time The ratio of the Planning Time to the Ideal or Free Flow Travel Time Planning Time Index The total travel time required to arrive on-time 95% of the time 95 th percentile travel time Planning Time
11. Graphical Illustration of Reliability Measures Source: http://ops.fhwa.dot.gov/publications/tt_reliability/TTR_Report.htm
12.
13.
14. FDOT Pilot Study (Sample Results for I-95) 55% 59% 26 40 SR 708 US 98 126% 76% 17 39 US 98 SR 869 25% 37% 30 38 SR 869 I-595 56% 59% 25 39 I-595 FLA Turnpike 41% 50% 27 39 FLA Turnpike SR 924 97% 73% 21 42 SR 924 I-195 43% 47% 23 33 I-195 Dolphin Expy 137% 79% 17 41 Dolphin Expy SR 5 Buffer Index % Time the avg speed is < 10 mph less than uncongested speed 95 th % Speed (mph) Average Speed (mph) To From
15.
16. BH Highway Corridor Travel Times Ideal 95th Free-flow Average 95 th Percentile Free Flow = 4.5 min Average = 6.2 min 95 th Percentile = 9.6 min Planning Index = 2.1 Buffer Index = 0.54
17. How can Reliability be Improved? TSM&O Travel Time Information Vehicle & Infrastructure Technology Incident & Event Management Performance Improvements
18.
19. Traveler Information Source: http://www.maps.google.com Better Traveler Information Improved Trip Decision Making Increased Capacity Utilization & Reliability
20. Vehicle and Infrastructure Technology = Source: http://www.its.dot.gov/strat_plan/strategic_plan2010_2014/
21.
22. Performance Improvement Strategies Reduce and encourage alternative travel Travel reduction Multimodal travel Low-cost changes to the physical roadway section Lane treatments Access management Geometric design treatments Strategies that influence and respond to demand Congestion pricing Variable speed limits Traffic demand metering Signal timing/ITS
23. Non-Lane Widening Strategies to Improve Capacity Interchange Modifications VMS/DMS Alt LT Treatments Frontage Road In-Vehicle Info Right/Left Turn Channelization Weaving Section Pre-Trip Information Access Points HOT Lanes Truck Restrictions Raised Medians Pricing by Distance Truck Only Lanes Queue Management Congestion Pricing Variable Lanes Adaptive Signals Ramp Closures Reversible Lanes Signal Coordination Ramp Metering Narrow Lanes Signal Retiming HOV Lanes Both Arterial Freeway
24.
25. Brilon and Geistefeldt. Implementing the Cost of Reliability for Highway Capacity Analysis, 56 th TRB Annual Meeting, Washington DC
Wireless connectivity would enable roadway users to receive information to provide 360° situational awareness. In unsafe situations, IntelliDriveSM applications provide alerts and advisories, or take action to help roadway users avoid or mitigate crashes.