06 Volume Studies and Characteristics (Traffic Engineering هندسة المرور & Pro...Hossam Shafiq I
This document discusses volume studies and characteristics in traffic engineering. It covers various topics:
- Basic traffic volume measurements including flow rate, demand, and capacity. Figures are provided showing relationships between these concepts.
- Temporal variations in traffic volumes including hourly, daily, monthly, and annual patterns. Key factors like K-values are discussed.
- Types of traffic volumes measured including average annual daily traffic, average weekday traffic, peak hour volumes.
- Vehicle classification and volumes in terms of vehicle type. Vehicle miles/kilometers of travel are also covered.
- Methods for measuring traffic flows including manual counts, detectors, and video analysis.
The given information is:
- 6 lanes (3 lanes in each direction)
- Free flow speed = 45 mph
- Peak hour volume = 4000 veh/h
- 15% trucks, 0% RVs
- PHF = 0.9
- Rolling terrain
To find the LOS, we need to calculate the density using the given flow rate. Then compare the density to the LOS criteria tables to determine the LOS.
Traffic congestion have a big impact on our personal life, career, future and even our safety. it causes stress, annoy and frustrate us. the traffic jams burns fuel at a higher rate .
The high fuel consumption hiked fares for public means and it also contributes greatly to the amount of emissions of greenhouse gases that create air pollution and eventually global warming.
we trying here partially to solve this problem in critical segments such as bridge, viaduct or tunnel etc. by using Excel simulation for Flow – Density relationship.
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...Joseph Chow
1) The document investigates modeling optimal locations for dynamic wireless charging infrastructure for electric buses by accounting for time-of-use factors like varying energy costs and vehicle speeds throughout the day.
2) Previous models for single and multi-route infrastructure planning are reviewed and a new time-of-use model is proposed to determine if the optimal solution changes with daily energy and traffic patterns.
3) The model is validated using real-world New York City bus network and energy cost data, finding the solutions are nearly identical with and without accounting for time-of-use, likely due to limitations in the model and data simplifications.
This document defines microscopic traffic stream parameters such as speed, density, flow, time headway, space headway, and spacing. It establishes the relationships between these parameters and provides the basic traffic flow equation relating flow, density, and speed. Examples are also given to demonstrate calculating traffic flow parameters from given data.
This document discusses traffic stream flow models and the variables used to describe traffic flow conditions. It introduces concepts like traffic flow, concentration, speed, spacing, headway, and gap. Flow-density relationships are presented, including the Greenshield linear model that shows the relationship between density, flow, and speed in traffic. Car following rules are discussed as the basis for models that determine safe spacing between vehicles based on speed.
Detailed description of Capacity and Level of service of Multi lane highways based on Highway Capacity Manual (HCM2010) along with one example for finding LOS of a highway
10 Capacity and LOS Analysis for Freeway (Traffic Engineering هندسة المرور & ...Hossam Shafiq I
This document discusses capacity and level of service analysis for freeways. It covers topics such as capacity under ideal conditions, measures of effectiveness, levels of service criteria, operational analysis including calculating speed and level of service, and planning and design analysis including calculating service flow rates, service volumes, and number of lanes needed. Examples are provided for calculating free-flow speed, passenger car equivalents, operational analysis, service flow rates and volumes, and design analysis. Homework problems are also assigned from Chapter 14.
06 Volume Studies and Characteristics (Traffic Engineering هندسة المرور & Pro...Hossam Shafiq I
This document discusses volume studies and characteristics in traffic engineering. It covers various topics:
- Basic traffic volume measurements including flow rate, demand, and capacity. Figures are provided showing relationships between these concepts.
- Temporal variations in traffic volumes including hourly, daily, monthly, and annual patterns. Key factors like K-values are discussed.
- Types of traffic volumes measured including average annual daily traffic, average weekday traffic, peak hour volumes.
- Vehicle classification and volumes in terms of vehicle type. Vehicle miles/kilometers of travel are also covered.
- Methods for measuring traffic flows including manual counts, detectors, and video analysis.
The given information is:
- 6 lanes (3 lanes in each direction)
- Free flow speed = 45 mph
- Peak hour volume = 4000 veh/h
- 15% trucks, 0% RVs
- PHF = 0.9
- Rolling terrain
To find the LOS, we need to calculate the density using the given flow rate. Then compare the density to the LOS criteria tables to determine the LOS.
Traffic congestion have a big impact on our personal life, career, future and even our safety. it causes stress, annoy and frustrate us. the traffic jams burns fuel at a higher rate .
The high fuel consumption hiked fares for public means and it also contributes greatly to the amount of emissions of greenhouse gases that create air pollution and eventually global warming.
we trying here partially to solve this problem in critical segments such as bridge, viaduct or tunnel etc. by using Excel simulation for Flow – Density relationship.
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...Joseph Chow
1) The document investigates modeling optimal locations for dynamic wireless charging infrastructure for electric buses by accounting for time-of-use factors like varying energy costs and vehicle speeds throughout the day.
2) Previous models for single and multi-route infrastructure planning are reviewed and a new time-of-use model is proposed to determine if the optimal solution changes with daily energy and traffic patterns.
3) The model is validated using real-world New York City bus network and energy cost data, finding the solutions are nearly identical with and without accounting for time-of-use, likely due to limitations in the model and data simplifications.
This document defines microscopic traffic stream parameters such as speed, density, flow, time headway, space headway, and spacing. It establishes the relationships between these parameters and provides the basic traffic flow equation relating flow, density, and speed. Examples are also given to demonstrate calculating traffic flow parameters from given data.
This document discusses traffic stream flow models and the variables used to describe traffic flow conditions. It introduces concepts like traffic flow, concentration, speed, spacing, headway, and gap. Flow-density relationships are presented, including the Greenshield linear model that shows the relationship between density, flow, and speed in traffic. Car following rules are discussed as the basis for models that determine safe spacing between vehicles based on speed.
Detailed description of Capacity and Level of service of Multi lane highways based on Highway Capacity Manual (HCM2010) along with one example for finding LOS of a highway
10 Capacity and LOS Analysis for Freeway (Traffic Engineering هندسة المرور & ...Hossam Shafiq I
This document discusses capacity and level of service analysis for freeways. It covers topics such as capacity under ideal conditions, measures of effectiveness, levels of service criteria, operational analysis including calculating speed and level of service, and planning and design analysis including calculating service flow rates, service volumes, and number of lanes needed. Examples are provided for calculating free-flow speed, passenger car equivalents, operational analysis, service flow rates and volumes, and design analysis. Homework problems are also assigned from Chapter 14.
Replacing Manhattan Subway Service with On-demand transportationChristian Moscardi
1) The document proposes replacing subway service in Manhattan with on-demand ridesharing during overnight repair periods to reduce costs.
2) A simulation would be used to model routing on-demand vehicles to service subway trips between 12AM-5AM using demand data and routing algorithms.
3) Key metrics like vehicle needs, passenger wait times, and repair costs vs transportation costs would be compared to evaluate the alternative. The simulation aims to answer if on-demand ridesharing can adequately replace subway service during repairs.
The document discusses a feasibility study conducted for potential rail transit service in Santa Cruz County, California. It considers several scenarios for routes and service levels. Ridership forecasts and cost estimates are provided for each scenario. Public feedback was gathered through surveys and outreach activities, with key concerns relating to costs, noise, and service to Watsonville. The study recommends advancing some scenarios for further analysis and environmental review to identify a preferred alternative for implementation.
Lecture 05 Roundabout (Traffic Engineering هندسة المرور & Dr. Usama Shahdah) Hossam Shafiq I
This document summarizes key points from a traffic engineering course lecture on roundabouts. It discusses conflict points, geometric characteristics of roundabouts like entry width and exit width. It covers calculating volumes using passenger car equivalents and peak hour factors. An example is provided on calculating entry, exit, and circulating volumes. Finally, it discusses methods for determining roundabout capacity like the HCM 2000 and Kimber methods, and using software like Synchro to analyze roundabouts.
This document discusses traffic flow fundamentals, including different types of traffic flow and key variables used to describe traffic flow. It covers uninterrupted and interrupted flow, and variables such as flow rate, speed, density, time headway, spacing, and time occupancy. Empirical relationships between flow, speed, and density are presented, including the Greenshields speed-density model and equations relating volume to density. Examples are provided to demonstrate calculations for various traffic flow measures.
8 capacity-analysis ( Transportation and Traffic Engineering Dr. Sheriff El-B...Hossam Shafiq I
This document discusses concepts related to transportation capacity analysis including:
- Definitions of level of service (LOS) categories A through F and their characteristics.
- How capacity is defined as the maximum hourly rate of vehicles that can pass a point under prevailing conditions.
- Procedures from the Highway Capacity Manual (HCM) for calculating capacity for basic freeway sections and the impacts of factors like lane width, lateral clearance, and free flow speed.
- The relationships between capacity, LOS, and transportation design and how capacity analysis can inform design.
This document describes the process for analyzing and determining the level of service of weaving, merging, and diverging segments on highways. It involves 8 steps: 1) collecting input data, 2) determining flow rates, 3) determining the configuration, 4) calculating maximum weaving length, 5) determining capacity, 6) calculating total lane changing, 7) determining average speed, and 8) calculating density to determine the LOS. An example problem is also provided to demonstrate applying the 8-step process to analyze a weaving segment on an urban freeway.
Highway traffic optimization by variable speed limitsJoseph Chow
The document describes a term project analyzing variable speed limit (VSL) systems. It establishes a benchmark transportation system without VSL and uses differential evolution algorithms to optimize VSL locations and speed limits. The optimized VSL system showed a 4% increase in overall traffic flow over 1 hour compared to the benchmark system without VSL, demonstrating VSL's potential to improve traffic flow, though congestion was not fully solved. Differential evolution was effective but inefficient, requiring over 20 iterations taking nearly a day to run.
This document summarizes a study on estimating the capacity of two-lane undivided highways. The study involved collecting traffic data on three road sections in India and analyzing the relationships between speed, flow, and density. Flow-density models were developed for each section and used to estimate key parameters like maximum flow rate and optimal density. Passenger car units were also estimated using Chandra's method to account for heterogeneous traffic. The results showed that capacity decreased as lane width decreased, with capacities of 5500, 3700, and 3100 PCU/hr for sections with right-of-way widths of 14m, 9m, and 7m respectively. The study concluded that understanding traffic flow characteristics is important for efficient road design
Challenging urban sprawl: public transit access point optimizationJoseph Chow
This document summarizes a study that used an optimization algorithm to analyze relocating public transit access points in Albuquerque, NM to decrease total transit travel time. The study used a maximum set coverage algorithm to maximize coverage of demand nodes within a 5-6 minute walking threshold. Analysis found access times could be reduced by half with relocated stops. However, a more comprehensive analysis is still needed considering additional factors like routing, pedestrian infrastructure, and public opinion before implementing changes. The recommendations suggest Albuquerque needs to understand why commuters still prefer driving and make transit more competitive through optimizing all components of travel time.
Lecture 04 Capacity for TWSC (Traffic Engineering هندسة المرور & Dr. Usama Sh...Hossam Shafiq I
This document discusses gap acceptance theory and its application in determining the capacity of traffic movements at two-way stop controlled (TWSC) intersections. It covers key concepts such as critical gap (tc), follow-up time (tf), and impedance. An example calculation is provided to estimate capacity for different movements based on conflicting traffic volumes and tc/tf values. Adjustments to tc and tf for factors like vehicle type and number of lanes are also outlined. Finally, the document provides the Highway Capacity Manual (HCM) methodology for calculating control delay and level of service at TWSC intersections.
Lec 13A Signalized Intersections (Transportation Engineering Dr.Lina Shbeeb)Hossam Shafiq I
This document provides an overview of signalized intersection analysis and design for a transportation engineering course. It defines key terms related to signal timing, describes assumptions and methods for calculating traffic delay under uniform and random arrival conditions, and discusses optimizing signal timing for various performance measures. Sample calculations are provided to determine optimal cycle length and green time allocation using flow ratio-based methods. Level of service criteria are also defined based on average vehicle delay.
The document discusses traffic stream models. It describes two classes of traffic models: macroscopic models that examine average behaviors like density and speed, and microscopic models that examine individual behaviors like car-following models. The car-following model assumes cars cannot pass and a car's acceleration depends on the headway distance and speed difference of the car in front. Conservation laws state that the number of cars in a highway segment remains constant over time. Greenshield's model relates traffic speed to density, with free flow at low density and zero speed at maximum density. The document outlines concepts like flow rate, spacing, headway, density and speed-flow-density relationships.
This document discusses various topics related to traffic engineering including:
1. Definitions of traffic volume, average annual daily traffic, travel time, running speed, and journey speed.
2. Methods for traffic studies and analysis such as spot speed studies, cumulative speed distribution curves, and origin-destination studies.
3. Factors that influence traffic capacity such as traffic volume, density, speed, space headway, and time headway.
4. Traffic control devices including traffic signals, signs, road markings, and designs of traffic signals and parking layouts.
5. Accident analysis methods for different collision types at intersections and between moving and stationary objects.
Chapter 6 Fundamentals of traffic flowFayaz Rashid
The document discusses fundamental principles of traffic flow, including the primary elements of traffic flow such as flow, density, speed, and headway. It describes flow-density relationships and the fundamental diagram of traffic flow. Mathematical models for describing macroscopic traffic flow relationships are presented, including the Greenshields model relating traffic density to speed. The primary elements, flow-density relationships, and Greenshields traffic flow model are summarized for understanding traffic flow characteristics.
The document analyzes bus route performance in Visakhapatnam, India. It surveyed 5 key routes, recording passenger volumes, loads, and headways. It found demand exceeds supply during peaks. Route 222 carries the fewest passengers per km. Route 20A carries the most. Loads exceed capacity on many trips, especially for routes 28 and 60C. Headways are most consistent in non-peak periods. The analysis recommends improving schedules, adding buses during peaks, developing transfer points, and using technology to better monitor operations and match supply to dynamic demand.
This document defines key traffic stream parameters and discusses their relationships. It introduces parameters like volume, speed, density, peak hour factor, and daily volumes. Volume is the number of vehicles passing a point in a given time. Speed can be measured as time mean speed or space mean speed. Density refers to the number of vehicles occupying a roadway section. Traffic flow involves variability over time and space. Traffic streams on uninterrupted and interrupted facilities differ in how they are impacted by external factors.
Freeway & Highway LOS (Transportation Engineering)Hossam Shafiq I
This document discusses methods for determining freeway and highway level of service (LOS). It defines key terms like free-flow speed, passenger car equivalents, and LOS criteria. The document outlines how to calculate the free-flow speed by measuring it or using a baseline adjusted for factors like lane width. It also explains how to determine the traffic flow rate and convert volumes to passenger cars per lane per hour. Finally, it shows how to use the speed-flow curve and density to establish the LOS for a basic freeway segment based on traffic conditions.
Transportation Sub-Committee Meeting of 10 Dec 08 reports on alternatives and their ramifications to improving road congestion in Hampton Roads and the need to be ready to claim infrastructure stimulus money from the Obama administration. http://www.vmasc.odu.edu
Civil Engineering Technical Project for an existing T intersection needing to be updated. Plans submitted to NCDOT, City of Asheville, and to Wilbur Smith Engineering company over the Wilma Dykeman Riverway Project in Asheville North Carolina. This was submitted by the Senior Project Class Spring 2011
Replacing Manhattan Subway Service with On-demand transportationChristian Moscardi
1) The document proposes replacing subway service in Manhattan with on-demand ridesharing during overnight repair periods to reduce costs.
2) A simulation would be used to model routing on-demand vehicles to service subway trips between 12AM-5AM using demand data and routing algorithms.
3) Key metrics like vehicle needs, passenger wait times, and repair costs vs transportation costs would be compared to evaluate the alternative. The simulation aims to answer if on-demand ridesharing can adequately replace subway service during repairs.
The document discusses a feasibility study conducted for potential rail transit service in Santa Cruz County, California. It considers several scenarios for routes and service levels. Ridership forecasts and cost estimates are provided for each scenario. Public feedback was gathered through surveys and outreach activities, with key concerns relating to costs, noise, and service to Watsonville. The study recommends advancing some scenarios for further analysis and environmental review to identify a preferred alternative for implementation.
Lecture 05 Roundabout (Traffic Engineering هندسة المرور & Dr. Usama Shahdah) Hossam Shafiq I
This document summarizes key points from a traffic engineering course lecture on roundabouts. It discusses conflict points, geometric characteristics of roundabouts like entry width and exit width. It covers calculating volumes using passenger car equivalents and peak hour factors. An example is provided on calculating entry, exit, and circulating volumes. Finally, it discusses methods for determining roundabout capacity like the HCM 2000 and Kimber methods, and using software like Synchro to analyze roundabouts.
This document discusses traffic flow fundamentals, including different types of traffic flow and key variables used to describe traffic flow. It covers uninterrupted and interrupted flow, and variables such as flow rate, speed, density, time headway, spacing, and time occupancy. Empirical relationships between flow, speed, and density are presented, including the Greenshields speed-density model and equations relating volume to density. Examples are provided to demonstrate calculations for various traffic flow measures.
8 capacity-analysis ( Transportation and Traffic Engineering Dr. Sheriff El-B...Hossam Shafiq I
This document discusses concepts related to transportation capacity analysis including:
- Definitions of level of service (LOS) categories A through F and their characteristics.
- How capacity is defined as the maximum hourly rate of vehicles that can pass a point under prevailing conditions.
- Procedures from the Highway Capacity Manual (HCM) for calculating capacity for basic freeway sections and the impacts of factors like lane width, lateral clearance, and free flow speed.
- The relationships between capacity, LOS, and transportation design and how capacity analysis can inform design.
This document describes the process for analyzing and determining the level of service of weaving, merging, and diverging segments on highways. It involves 8 steps: 1) collecting input data, 2) determining flow rates, 3) determining the configuration, 4) calculating maximum weaving length, 5) determining capacity, 6) calculating total lane changing, 7) determining average speed, and 8) calculating density to determine the LOS. An example problem is also provided to demonstrate applying the 8-step process to analyze a weaving segment on an urban freeway.
Highway traffic optimization by variable speed limitsJoseph Chow
The document describes a term project analyzing variable speed limit (VSL) systems. It establishes a benchmark transportation system without VSL and uses differential evolution algorithms to optimize VSL locations and speed limits. The optimized VSL system showed a 4% increase in overall traffic flow over 1 hour compared to the benchmark system without VSL, demonstrating VSL's potential to improve traffic flow, though congestion was not fully solved. Differential evolution was effective but inefficient, requiring over 20 iterations taking nearly a day to run.
This document summarizes a study on estimating the capacity of two-lane undivided highways. The study involved collecting traffic data on three road sections in India and analyzing the relationships between speed, flow, and density. Flow-density models were developed for each section and used to estimate key parameters like maximum flow rate and optimal density. Passenger car units were also estimated using Chandra's method to account for heterogeneous traffic. The results showed that capacity decreased as lane width decreased, with capacities of 5500, 3700, and 3100 PCU/hr for sections with right-of-way widths of 14m, 9m, and 7m respectively. The study concluded that understanding traffic flow characteristics is important for efficient road design
Challenging urban sprawl: public transit access point optimizationJoseph Chow
This document summarizes a study that used an optimization algorithm to analyze relocating public transit access points in Albuquerque, NM to decrease total transit travel time. The study used a maximum set coverage algorithm to maximize coverage of demand nodes within a 5-6 minute walking threshold. Analysis found access times could be reduced by half with relocated stops. However, a more comprehensive analysis is still needed considering additional factors like routing, pedestrian infrastructure, and public opinion before implementing changes. The recommendations suggest Albuquerque needs to understand why commuters still prefer driving and make transit more competitive through optimizing all components of travel time.
Lecture 04 Capacity for TWSC (Traffic Engineering هندسة المرور & Dr. Usama Sh...Hossam Shafiq I
This document discusses gap acceptance theory and its application in determining the capacity of traffic movements at two-way stop controlled (TWSC) intersections. It covers key concepts such as critical gap (tc), follow-up time (tf), and impedance. An example calculation is provided to estimate capacity for different movements based on conflicting traffic volumes and tc/tf values. Adjustments to tc and tf for factors like vehicle type and number of lanes are also outlined. Finally, the document provides the Highway Capacity Manual (HCM) methodology for calculating control delay and level of service at TWSC intersections.
Lec 13A Signalized Intersections (Transportation Engineering Dr.Lina Shbeeb)Hossam Shafiq I
This document provides an overview of signalized intersection analysis and design for a transportation engineering course. It defines key terms related to signal timing, describes assumptions and methods for calculating traffic delay under uniform and random arrival conditions, and discusses optimizing signal timing for various performance measures. Sample calculations are provided to determine optimal cycle length and green time allocation using flow ratio-based methods. Level of service criteria are also defined based on average vehicle delay.
The document discusses traffic stream models. It describes two classes of traffic models: macroscopic models that examine average behaviors like density and speed, and microscopic models that examine individual behaviors like car-following models. The car-following model assumes cars cannot pass and a car's acceleration depends on the headway distance and speed difference of the car in front. Conservation laws state that the number of cars in a highway segment remains constant over time. Greenshield's model relates traffic speed to density, with free flow at low density and zero speed at maximum density. The document outlines concepts like flow rate, spacing, headway, density and speed-flow-density relationships.
This document discusses various topics related to traffic engineering including:
1. Definitions of traffic volume, average annual daily traffic, travel time, running speed, and journey speed.
2. Methods for traffic studies and analysis such as spot speed studies, cumulative speed distribution curves, and origin-destination studies.
3. Factors that influence traffic capacity such as traffic volume, density, speed, space headway, and time headway.
4. Traffic control devices including traffic signals, signs, road markings, and designs of traffic signals and parking layouts.
5. Accident analysis methods for different collision types at intersections and between moving and stationary objects.
Chapter 6 Fundamentals of traffic flowFayaz Rashid
The document discusses fundamental principles of traffic flow, including the primary elements of traffic flow such as flow, density, speed, and headway. It describes flow-density relationships and the fundamental diagram of traffic flow. Mathematical models for describing macroscopic traffic flow relationships are presented, including the Greenshields model relating traffic density to speed. The primary elements, flow-density relationships, and Greenshields traffic flow model are summarized for understanding traffic flow characteristics.
The document analyzes bus route performance in Visakhapatnam, India. It surveyed 5 key routes, recording passenger volumes, loads, and headways. It found demand exceeds supply during peaks. Route 222 carries the fewest passengers per km. Route 20A carries the most. Loads exceed capacity on many trips, especially for routes 28 and 60C. Headways are most consistent in non-peak periods. The analysis recommends improving schedules, adding buses during peaks, developing transfer points, and using technology to better monitor operations and match supply to dynamic demand.
This document defines key traffic stream parameters and discusses their relationships. It introduces parameters like volume, speed, density, peak hour factor, and daily volumes. Volume is the number of vehicles passing a point in a given time. Speed can be measured as time mean speed or space mean speed. Density refers to the number of vehicles occupying a roadway section. Traffic flow involves variability over time and space. Traffic streams on uninterrupted and interrupted facilities differ in how they are impacted by external factors.
Freeway & Highway LOS (Transportation Engineering)Hossam Shafiq I
This document discusses methods for determining freeway and highway level of service (LOS). It defines key terms like free-flow speed, passenger car equivalents, and LOS criteria. The document outlines how to calculate the free-flow speed by measuring it or using a baseline adjusted for factors like lane width. It also explains how to determine the traffic flow rate and convert volumes to passenger cars per lane per hour. Finally, it shows how to use the speed-flow curve and density to establish the LOS for a basic freeway segment based on traffic conditions.
Transportation Sub-Committee Meeting of 10 Dec 08 reports on alternatives and their ramifications to improving road congestion in Hampton Roads and the need to be ready to claim infrastructure stimulus money from the Obama administration. http://www.vmasc.odu.edu
Civil Engineering Technical Project for an existing T intersection needing to be updated. Plans submitted to NCDOT, City of Asheville, and to Wilbur Smith Engineering company over the Wilma Dykeman Riverway Project in Asheville North Carolina. This was submitted by the Senior Project Class Spring 2011
MTC San Mateo County 101 corridor strategies 062515 Adina Levin
The document discusses strategies to address traffic congestion on US 101 in San Mateo County, including:
1) Expanding private employer shuttles and privately operated transit services like RidePal
2) Reinstating and expanding SamTrans express bus service with new buses and capital projects
3) Increasing carpooling through toll-lane time savings, ridesharing technologies, and parking pricing
4) Improving access to transit through new park-and-ride lots and first-last mile shuttle services.
Implementing these transit, transportation demand management, and road pricing strategies together could achieve the needed 500 vehicle-per-hour reduction while meeting schedule and cost requirements.
This document summarizes a study of congestion along the Bay Bridge corridor between Oakland and San Francisco. It finds that future traffic growth will significantly worsen congestion at the Bay Bridge toll plaza by 2035, blocking lanes used by Transbay buses and degrading transit operations. To address this, the study evaluates options like implementing a westbound contraflow lane on the Bay Bridge during morning commutes and improving access points. Microsimulation modeling shows that a contraflow lane, along with other improvements, could maintain transit reliability by keeping buses moving at acceptable speeds. However, the document notes further analysis is needed to study potential improvements to Bay Bridge on-ramps affecting afternoon traffic exiting San Francisco.
Presentation by Dr James Tate at Institute of Air Quality Management (IAQM) Dispersion Modellers User Group December 2014.
www.its.leeds.ac.uk/people/j.tate
http://iaqm.co.uk/event/dmug-2014/
Savannah cruise ship study phase i report presentaion 06-24-13jhayman09
The document summarizes a study evaluating three potential sites for a cruise ship terminal in Savannah, Georgia. Site A has the smallest area but requires the least dredging. Site B requires more dredging but offers less area for ancillary development. Site C requires the most dredging but offers the most space for additional development. All three sites require further environmental review and permitting before being selected. The study provides a framework to evaluate each site based on infrastructure, navigation, dredging needs, and environmental impacts.
This presentation is designed to provide a more detailed look at the transportation investments envisioned for each scenario. It also includes some analysis and information presented at the citywide transportation workshop. This is intended to provide more detailed information, and isn’t necessary to complete the survey.”
This document discusses applications of headway models in traffic analysis. Headway data was collected for traffic flows ranging from 170 to 750 vehicles per hour on a two-lane roadway. The hyperlang model and shifted negative exponential model were fitted to the observed headway distributions. The composite exponential model provided a good fit for flows from 170-750 vph. The shifted negative exponential model fit lower flows where most vehicles were free-moving. The parameters of the composite exponential model trended with traffic flow, allowing estimation of parameters for unmonitored flows. Applications demonstrated include justifying pedestrian crossing needs, predicting vehicle arrival patterns, testing flow randomness, and timing traffic signals.
Physical and numerical modelling of urban flood flows Albert Chen
Prof Binliang Lin presented the numerical model developed at Tsinghua University, as well as the lab experiments.
[GII] Flood impact assessment in mega cities under urban sprawl and climate change kick-off workshop
LAAEP CEQA Seminar: Impacts Under SB 743losangelesaep
The document discusses how California's Senate Bill 743 may replace level of service (LOS) as the primary metric for evaluating transportation impacts under the California Environmental Quality Act (CEQA). It notes that LOS focuses only on driver experience and can discourage infill development. SB 743 proposes evaluating projects based on vehicle miles traveled (VMT) to promote multimodal transportation, reduce greenhouse gas emissions, and support statewide climate goals. It outlines various methods for calculating project VMT and thresholds for determining significant impacts. The document provides an overview of issues agencies may consider when implementing SB 743's proposed VMT analysis approach.
The Tampa Port Authority document summarizes a public-private partnership project to build a new rail-to-pipeline ethanol facility at the Port of Tampa. It involved over 13,000 feet of new rail construction and 2,720 feet of pipeline installed by various engineering firms. The facility will handle over 300 million gallons of ethanol annually to reduce dependence on foreign energy and cut emissions, truck traffic, and highway delays in the region. It was completed on time and on budget despite heavy rainfall.
At the 2014 annual Dispersion Modellers user group meeting guest speaker James Tate spoke the topic: 'Making better use of microsimulation models for estimating vehicle emissions'
The document discusses factors that affect vessel turnaround time (VTT) at the Port of Colombo's container terminals. It aims to identify the most important factors and their impacts on VTT, and examine how VTT has been affected by the opening of the South Port.
The methodology involves using analytical hierarchy process analysis to survey terminal operators about factors like berthing delays, cargo transferring delays, and cargo availability delays. Cargo transferring delays, especially issues like quay crane speed and lack of yard equipment, were found to most influence VTT across all terminals. Berthing delays from pilotage and berth unavailability also significantly impact VTT. The opening of the South Container Terminal has eased berth congest
Exploring Queuing Theory to Minimize Traffic Congestion Problem in Calabar-Hi...Premier Publishers
Traffic congestion has been a serious problem that drivers are facing especially in Calabar – highway by IBB road intersection. In this paper, emphasis is placed on model formation and derivation of some parameters that will help to facilitate the flow of vehicles in this intersection to reduce traffic congestion. The channel considered in this research is multiple queue single servers. We derived variance waiting time of vehicles in the queue and in the system, expected number of vehicles in the queue and in the system waiting for service, expected waiting time of vehicles in the queue and in the system. We also determine the time each vehicle spends in the queue waiting for service and the mean queue length for all the channels in each section. The result shows fair traffic congestion in Calabar – highway by IBB road intersection especially in the morning and evening hours for all the locations.
The Future of Mixed-Autonomy Traffic (AIS302) - AWS re:Invent 2018Amazon Web Services
How will self-driving cars change urban mobility patterns? This talk examines scientific contributions in the field of reinforcement learning, presented in the context of enabling mixed-autonomy mobility—the gradual and complex integration of autonomous vehicles into existing traffic systems. We explore the potential impact of a small fraction of autonomous vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning. We share examples in the context of a new open-source computational platform and state-of-the-art microsimulation tools with deep-reinforcement libraries.
Inaugural Professorial lecture by Simon Shepherd, Professor of Choice Modelling & Policy Design. Institute for Transport Studies, University of Leeds, 9th September 2014.
For audio recording see: www.its.leeds.ac.uk/about/events/inaugural-lectures2014
www.its.leeds.ac.uk/people/s.shepherd
www.its.leeds.ac.uk/research/themes/dynamicmodelling
Multiple Vehicle Motion Planning: An Infinite Diminsion Newton Optimization M...AJHaeusler
In this invited talk at the LARSyS Summer School 2014, we describe a numerical algorithm for multiple vehicle motion planning that addresses explicitly temporal and spatial specifications, as well as energy-related constraints. As a motivating example, we cite the case where a group of vehicles is tasked to reach a number of target points at the same time (simultaneous arrival problem) and avoid inter-vehicle as well as vehicle/obstacle collision, subject to the constraint that the overall energy required for vehicle motion be minimized.
The methodology adopted builds on a numerical method for solving optimal control problems that is known as the PRojection Operator based Newton method for Trajectory Optimization (PRONTO)—a method that avoids the transcription phase typical in direct methods for numerical optimal control and that employs an infinite dimension Newton method to achieve second order convergence of the trajectory optimization problem.
With the theoretical set-up adopted, the vehicle dynamics are taken explicitly into account at the planning level. Thus, in contrast to some of the planning methods available in the literature, the method proposed allows for the direct incorporation of dynamical constraints imposed by the physical characteristics of the vehicles, motion actuators, and even energy sources (e.g. batteries). Should the problem to be solved be feasible, the method yields energy-optimal trajectories without the need to separate the steps of path planning and trajectory generation, as is customary in many of the motion planning methods described in the literature. Restrictive system properties such as differential flatness are not required.
Train Arrival Times At Highway Railroad Grade CrossingKittelson Slides
Estimating Train Arrival Times at Highway-Railroad Grade Crossing Using Multiple Sensors. By Diego B. Franca, M.Sc., Kittelson and Associates, Inc and Elizabeth “Libby” Jones, PhD
Assoc. Professor, Civil Engineering, University of Nebraska - Lincoln
Assoc. Director , Mid-America Transportation Center. Presented at 89th TRB Annual Meeting – Jan 2010.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
2. Purpose
Use a simulation tool to analyze real-world data
Compare alternative designs for transportation facilities
and their effects on transportation operations
Columbia River Crossing Bottleneck Simulation 2
3. Objectives
Compare the existing Columbia River Interstate
Bridge facility with the proposed design during PM
peak usage conditions on the Northbound Side.
Propose minor improvements that can be made
to the bridge now, until full construction
(eventually) takes place on a new bridge
Columbia River Crossing Bottleneck Simulation 3
4. Study Boundaries
Analyzing average Friday conditions during Summer
(June-August) of 2013 between 12 PM and 10 PM.
Oregon
Washington
Segment Examined (Northbound only)
Image from Google Earth
Columbia River Crossing Bottleneck Simulation 4
5. Data Sources
Loop detector data for I-5 freeway segment and
on ramp volumes taken from PORTAL
Off ramp flows taken from Columbia River
Crossing Traffic Technical Report1
Heavy vehicle assumptions from Columbia River
Crossing technical report on existing freight
conditions2
1: http://www.columbiarivercrossing.org/FileLibrary/TechnicalReports/Traffic_TechnicalReport.pdf
2:http://www.columbiarivercrossing.org/FileLibrary/TechnicalReports/TruckFreightExistingConditions.pdf
Columbia River Crossing Bottleneck Simulation 5
7. Simulation Tool
VISSIM 6.0
Data Input :
Volume (vph)
Relative Flow (%)
Speed limits:
Interstate 5 = 55 mph
N Denver Ave to I-5 (on-ramp) = 45mph
Marine Dr. W to I-5 (on-ramp)= 25mph
N Hayden Island Dr to I-5 (on-ramp)= 25mph
Columbia river I-5 Bridge =50 mph
Driving behavior:
Vehicle Compositions:
Cars= 90%
Trucks= 8%
Buses= 2%
Signal Controllers:
Two Ramp Metering on on-ramps
Lane change: 5000 ft before the diverge & 3000 ft before the lane drop
Columbia River Crossing Bottleneck Simulation 7
8. Design Alternatives
Existing
6-lane freeway bridge, problematic accesses are primary cause of bottleneck
8
Image from Google Earth
Time Avg Speed Avg Delay
2:00 PM - 3:00 PM 18 mph 188 Sec
10. Our Test Alternative
Remove on-ramp for Hayden Island on Northbound side.
Add one lane leading up to Columbia River Interstate Bridge (using existing shoulder)
10
Time Avg Speed Avg Delay
2:00 PM - 3:00 PM 26 mph 102 Sec
11. Average Speed
11
50
45
40
35
30
25
20
15
11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM
Average Speed (mph)
Existing Proposed Alternative
Columbia River Crossing Bottleneck Simulation
12. Total Travel Time on Segment
12
400
350
300
250
200
150
100
50
0
11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM
Total Travel Time on Segment (Vehicle-Hours Traveled)
Existing Proposed Alternative
Columbia River Crossing Bottleneck Simulation
13. Total Delay on Segment
13
250
200
150
100
50
0
11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM
Total Delay (Vehicle-Hours)
Existing Proposed Alternative
Columbia River Crossing Bottleneck Simulation
14. Difference in Performance
14
+60%
-30%
-80%
+44%
-16%
-50%
80%
60%
40%
20%
0%
-20%
-40%
-60%
-80%
-100%
Average Speed in Segment (mph) Total Travel Time in Segment (VHT) Total Delay in Segment (hours)
Proposed Alternative
Columbia River Crossing Bottleneck Simulation
15. Discussion
Estimated Costs:
Proposed: $3.1-3.5 Billion
Our Test Alternative:<$100 Million
Could removing accesses be a temporary solution to
mitigating congestion?
Is it politically feasible? (Beyond the scope of this
project)
Other Possibilities:
Demand reduction
Limits on freight travel during peak hours
Columbia River Crossing Bottleneck Simulation 15
16. Issues and Limitations
Data validity
Issues with speeds reported in PORTAL as compared to
those generated by simulation (using volumes from
PORTAL). Which is more reliable measure of speed?
Simplified test scenario
Simplifying assumptions were made that may not be
valid under realistic conditions
Study boundaries
Small portion of corridor was analyzed
Columbia River Crossing Bottleneck Simulation 16
17. 60
55
50
45
40
35
30
25
20
15
Average Speed
11:00 AM 12:00 PM 1:00 PM 2:00 PM 3:00 PM 4:00 PM 5:00 PM 6:00 PM 7:00 PM 8:00 PM 9:00 PM 10:00 PM
Average Speed (mph)
Simulated Portal
Columbia River Crossing Bottleneck Simulation 17
19. Project Outcomes
Gained experience in utilizing real world data with a
simulation tool
Simulation allowed us to gain greater understanding of
bottleneck conditions on Columbia River bridge
Columbia River Crossing Bottleneck Simulation 19
20. Questions?
Thank you for your attention!
20
Source:http://www.macalester.edu/academics/environmentalstudies/students/projects/citizenscience2010/columbiariverbridge/crcfuture.html