This document summarizes a student's research project on quantifying levels of service (LOS) at uncontrolled median openings using approach speed delay. The student conducted a literature review on previous studies that used area occupancy and service delay as measures of effectiveness. Speed data was then collected and statistical analysis found a significant decrease in speeds within the median opening area. A quadratic equation was developed using regression that can estimate the percentage reduction in speed with 92% accuracy based on the speed within the median opening. Clustering techniques will then be used to determine the LOS criteria based on the quantified delays.
Using of intelligent communicational devices in controlling road structural w...IOSR Journals
The goal of this paper is to state and evaluate the differences in gap acceptance observations
between left lane and right lane change, and experiment overall aggressiveness by the means of right lane
change behaviors and use of electrical instruments for reaching this goal, furthermore we use Digital Signal
Processing on our controlling cameras to be able to distinguish different behaviours of drivers. Also, in this
paper we evaluate the decision making process of drivers, we do this work with use of electrical sensors for
accumulating some data and clarifying and processing them and finally with use of cumulative distribution
functions of driver lane change behaviours from the observed field data. These experiments are performed for
drivers using I-20 in Grand Prairie, Texas with the roadside controlling cameras and some other electronical
controlling instruments which were amounted near the intersection of I-20 and Great Southwest Blvd. Our
experiments and evaluations demonstrates, that the whole ratio of right lane change observations to left lane
change observations was close to 3 to 1.
This document presents a case study analyzing accidents at a black spot location on National Highway 48 in Karnataka, India. The authors developed multiple regression models to understand the relationship between accident rate and various highway geometric and traffic parameters. They collected accident and traffic data for the Busthenahalli bypass and analyzed the effects of factors like age of driver, rise, fall, pavement width, sight distance, and annual daily traffic on accident rate. Quadratic and power curves best described the relationships between accident rate and factors like rise, fall, pavement width, and traffic. The final regression model showed accident rate was influenced by pavement width, rise and fall, sight distance, and traffic volume. The model fit the observed accident data well
This document presents a case study analyzing accidents at a black spot location on National Highway 48 in Karnataka, India. The authors developed multiple regression models to understand the relationship between accident rate and various highway geometric and traffic parameters. They collected accident and traffic data for the Busthenahalli bypass and analyzed factors like age of driver, rise, fall, pavement width, sight distance, and annual daily traffic. Regression models showed accident rate was most strongly correlated with rise, fall, annual daily traffic and sight distance. A final multiple linear regression model related accident rate to these four variables with very high accuracy (R^2 = 0.998). The study provides insights to help reduce accidents by improving highway design and traffic management.
Accident Analysis At The Black Spot: A Case Studyiosrjce
Humans prefer comfort in every form. The same reason has prompted him to lay the roads and invent
motor vehicles. This is the era we are seeing very huge number of vehicles on the roads. But to his dismay, with this
comfortless, there came the problem of accidents due to increase in traffic volume. The increased human misery and
serious economic loss caused by road accidents demand the attention of the society and call for the solution of this
problem. The causes for accidents are many. It may be either due to the fault of the driver or vehicular defect, tough
weather condition or due to improper road design and many more. Precisely, if accidents occur frequently at a
particular road stretch then, the location is coined as Black Spot. In the present work, an attempt has been made to
evaluate the effects of highway geometrics and speed parameters in increased accident rates at the black spot. The
black spot of our interest is Busthenahalli bypass (spot-A) on National Highway-48 between Bangalore and
Mangalore, Karnataka, India. The mixed traffic condition prevailing on the road and the inadequate geometric
conditions on field create the problem of increased accident rates. The regression equation for the condition
prevailing has been found for the location under consideration which represents the variation of accident rate with
age of the driver, rise and fall, pavement width, Stopping Sight Distance for operating speed and regulating speed and
Annual Daily Traffic(ADT).
IRJET- Analysis and Prediction of Delay at Signalized Junctions in BangaloreIRJET Journal
This document discusses analyzing and predicting delays at signalized intersections in Bangalore, India using various methods. It conducted traffic surveys at intersections to calculate delays using the Highway Capacity Manual (HCM) method. It then used those results to build a linear regression model to predict delays using only 4 key parameters instead of the 18 required by HCM. It found the predicted delays from the regression model were similar to those from HCM. It also proposes designing a fuzzy logic signal control system to dynamically adjust green times based on real-time traffic conditions like queue length and waiting time to further reduce delays. The goal is to improve traffic flow and level of service at intersections using machine learning techniques.
This document summarizes a study analyzing vehicular growth and road use patterns in Madhubani, India to inform traffic planning for the mid-sized city. Traffic surveys were conducted on major roads to collect traffic volume data during morning and evening peak hours. Vehicle registration records from the District Transport Office from 2011-2017 were analyzed using regression to forecast future vehicle growth trends. Analysis found average annual vehicle growth of 9.8% and identified changing road use patterns between morning and evening peak periods. The study aims to quantify key traffic parameters to develop improved traffic solutions and address existing problems in the city's traffic system.
USING THE ANALYTIC HIERARCHY PROCESS AND GIS FOR DECISION MAKING IN RURAL HIG...IAEME Publication
Rural highway route location is a very complex case, requiring significant time and effort from the planners. This study presented the route location method by applying Analytic Hierarchy Process (AHP) and Geographical Information System (GIS). The location of the study is confined to south Mosul city in Iraq of the area (198km2). The researcher is behind defining the route which connects Baghdad-Mosul and Mosul-Kirkuk roadways. This route is considered the suggested turn to Mosul city. A variety of data set from different sources and at different scales are managed.
This document summarizes a study analyzing the impact of encroachment on traffic characteristics and level of service of urban roads in Ahmedabad, India. Observations were made on Chanakyapuri Road during peak hours with and without encroachment. Encroachment factors like vendors, parking, and pedestrians were found to reduce vehicular speeds. An Encroachment Index was developed to quantify the combined impact of different encroachment elements. Speed-density curves showed reductions in speed for higher encroachment levels and different traffic volumes. Threshold speeds were suggested for determining different levels of service. The results help inform policies to restrict roadside encroachment and improve urban road capacity and safety.
Using of intelligent communicational devices in controlling road structural w...IOSR Journals
The goal of this paper is to state and evaluate the differences in gap acceptance observations
between left lane and right lane change, and experiment overall aggressiveness by the means of right lane
change behaviors and use of electrical instruments for reaching this goal, furthermore we use Digital Signal
Processing on our controlling cameras to be able to distinguish different behaviours of drivers. Also, in this
paper we evaluate the decision making process of drivers, we do this work with use of electrical sensors for
accumulating some data and clarifying and processing them and finally with use of cumulative distribution
functions of driver lane change behaviours from the observed field data. These experiments are performed for
drivers using I-20 in Grand Prairie, Texas with the roadside controlling cameras and some other electronical
controlling instruments which were amounted near the intersection of I-20 and Great Southwest Blvd. Our
experiments and evaluations demonstrates, that the whole ratio of right lane change observations to left lane
change observations was close to 3 to 1.
This document presents a case study analyzing accidents at a black spot location on National Highway 48 in Karnataka, India. The authors developed multiple regression models to understand the relationship between accident rate and various highway geometric and traffic parameters. They collected accident and traffic data for the Busthenahalli bypass and analyzed the effects of factors like age of driver, rise, fall, pavement width, sight distance, and annual daily traffic on accident rate. Quadratic and power curves best described the relationships between accident rate and factors like rise, fall, pavement width, and traffic. The final regression model showed accident rate was influenced by pavement width, rise and fall, sight distance, and traffic volume. The model fit the observed accident data well
This document presents a case study analyzing accidents at a black spot location on National Highway 48 in Karnataka, India. The authors developed multiple regression models to understand the relationship between accident rate and various highway geometric and traffic parameters. They collected accident and traffic data for the Busthenahalli bypass and analyzed factors like age of driver, rise, fall, pavement width, sight distance, and annual daily traffic. Regression models showed accident rate was most strongly correlated with rise, fall, annual daily traffic and sight distance. A final multiple linear regression model related accident rate to these four variables with very high accuracy (R^2 = 0.998). The study provides insights to help reduce accidents by improving highway design and traffic management.
Accident Analysis At The Black Spot: A Case Studyiosrjce
Humans prefer comfort in every form. The same reason has prompted him to lay the roads and invent
motor vehicles. This is the era we are seeing very huge number of vehicles on the roads. But to his dismay, with this
comfortless, there came the problem of accidents due to increase in traffic volume. The increased human misery and
serious economic loss caused by road accidents demand the attention of the society and call for the solution of this
problem. The causes for accidents are many. It may be either due to the fault of the driver or vehicular defect, tough
weather condition or due to improper road design and many more. Precisely, if accidents occur frequently at a
particular road stretch then, the location is coined as Black Spot. In the present work, an attempt has been made to
evaluate the effects of highway geometrics and speed parameters in increased accident rates at the black spot. The
black spot of our interest is Busthenahalli bypass (spot-A) on National Highway-48 between Bangalore and
Mangalore, Karnataka, India. The mixed traffic condition prevailing on the road and the inadequate geometric
conditions on field create the problem of increased accident rates. The regression equation for the condition
prevailing has been found for the location under consideration which represents the variation of accident rate with
age of the driver, rise and fall, pavement width, Stopping Sight Distance for operating speed and regulating speed and
Annual Daily Traffic(ADT).
IRJET- Analysis and Prediction of Delay at Signalized Junctions in BangaloreIRJET Journal
This document discusses analyzing and predicting delays at signalized intersections in Bangalore, India using various methods. It conducted traffic surveys at intersections to calculate delays using the Highway Capacity Manual (HCM) method. It then used those results to build a linear regression model to predict delays using only 4 key parameters instead of the 18 required by HCM. It found the predicted delays from the regression model were similar to those from HCM. It also proposes designing a fuzzy logic signal control system to dynamically adjust green times based on real-time traffic conditions like queue length and waiting time to further reduce delays. The goal is to improve traffic flow and level of service at intersections using machine learning techniques.
This document summarizes a study analyzing vehicular growth and road use patterns in Madhubani, India to inform traffic planning for the mid-sized city. Traffic surveys were conducted on major roads to collect traffic volume data during morning and evening peak hours. Vehicle registration records from the District Transport Office from 2011-2017 were analyzed using regression to forecast future vehicle growth trends. Analysis found average annual vehicle growth of 9.8% and identified changing road use patterns between morning and evening peak periods. The study aims to quantify key traffic parameters to develop improved traffic solutions and address existing problems in the city's traffic system.
USING THE ANALYTIC HIERARCHY PROCESS AND GIS FOR DECISION MAKING IN RURAL HIG...IAEME Publication
Rural highway route location is a very complex case, requiring significant time and effort from the planners. This study presented the route location method by applying Analytic Hierarchy Process (AHP) and Geographical Information System (GIS). The location of the study is confined to south Mosul city in Iraq of the area (198km2). The researcher is behind defining the route which connects Baghdad-Mosul and Mosul-Kirkuk roadways. This route is considered the suggested turn to Mosul city. A variety of data set from different sources and at different scales are managed.
This document summarizes a study analyzing the impact of encroachment on traffic characteristics and level of service of urban roads in Ahmedabad, India. Observations were made on Chanakyapuri Road during peak hours with and without encroachment. Encroachment factors like vendors, parking, and pedestrians were found to reduce vehicular speeds. An Encroachment Index was developed to quantify the combined impact of different encroachment elements. Speed-density curves showed reductions in speed for higher encroachment levels and different traffic volumes. Threshold speeds were suggested for determining different levels of service. The results help inform policies to restrict roadside encroachment and improve urban road capacity and safety.
This document estimates the expected number of accidents on sections of a road in Nagpur, India and examines the relationship between accidents and geometric road variables. Accident and road characteristic data were collected for eight sections over three years. Negative binomial regression identified relationships between accidents and average daily traffic, road width, length, speed, and number of accesses. The empirical Bayes method was then used to calculate the expected number of accidents, standard deviation, and expected accidents per km/year for each section. Results show variations in expected accidents across sections based on their characteristics.
This document presents a study on developing an artificial intelligence system to manage real-time traffic. The study developed a traffic simulator using Python to model vehicle and traffic light behavior at an intersection. A linear regression model was then used to control the traffic lights dynamically based on current traffic conditions, collected from sensors. Testing showed the AI-based dynamic system improved traffic flow compared to a static traffic light system, allowing more vehicles to pass through the intersection in a given time period. The authors conclude the linear regression model provides better real-time traffic management than existing approaches and suggest further improving it with deep learning techniques.
ESTIMATION OF CAPACITY AND MODEL DEVELOPMENT USING LINEAR REGRESSIONIRJET Journal
This document presents a study that aimed to estimate the capacity of two-lane roads and develop a multiple linear regression model for capacity. Data on vehicle volumes, speeds and road geometry were collected from two sites in Kerala, India. The data was analyzed to determine vehicle proportions and speed profiles. A regression model for capacity was developed using SPSS with capacity as the dependent variable and factors like stream equivalency, shoulder width, and speed as independent variables. The model had good fit with an R2 value of 0.996. The study concluded that capacity is positively associated with shoulder width and speed, but negatively associated with stream equivalency factor.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
This document presents a study that compares traffic signals with and without signal coordination at various intersections.
The study focuses on quantifying congestion at intersections by updating signal timing to improve intersection capacity, reduce delays, and enhance overall traffic efficiency. Signal coordination is identified as the most effective method to maximize vehicle flow across intersections with minimum stops and accidents.
The study designs traffic signals for various intersections based on field data using Webster's method. Signal timing and offsets are theoretically coordinated for a route between intersections to establish a green wave bandwidth. Simulation results show that with coordination, delays, queue lengths and fuel consumption are reduced compared to without coordination.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
1) The document presents a comparative study of traffic signals with and without signal coordination at various intersections. It aims to quantify congestion and update signal timing to improve traffic flow.
2) A literature review is presented on previous studies related to signal optimization and coordination. Simulation software is used to model traffic behavior and coordinate signal timing.
3) Field data on traffic volume and speed is collected. Signals are designed using Webster's method and coordinated theoretically to maximize green bandwidth. Simulation results show reduced delays, queue lengths and fuel consumption with coordination.
Estimation of IRI from PCI in Construction Work ZonesIDES Editor
Roughness is good evaluator of performance of road.
This paper presents a case study of IRI (International
Roughness Index) estimation at NH 67 during four laning of
Trichy - Tanjavur section. An attempt has been made to
evaluate the IRI of construction work zones using Levenberg-
Marquardt back-propagation training algorithm. A MATLAB
based model is developed, and the data from the case study are
used to train and test the developed model to predict IRI. The
models’ performances are evaluated through Correlation
coefficient (R2) and Mean Square Error (MSE).
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
A Review on Distribution Models Using for Different Traffic ConditionIRJET Journal
This study examines headway distribution models used under different traffic conditions. It aims to provide an understanding of how headway variability affects traffic flow parameters like capacity, level of service, and safety. The document discusses both macroscopic and microscopic approaches to modeling traffic, including factors that influence headway and methods to measure headway. It also explores how headway data can be used to determine road capacity and assess traffic conditions.
IRJET- Design and Development of Traffic Flow Prediction System for Efficient...IRJET Journal
This document discusses the design and development of a traffic flow prediction system for Amravati City, India to improve traffic movements. It begins by noting the increasing traffic problems in Amravati due to rising vehicle numbers. The city currently uses pre-timed traffic signal controls that are inefficient. The paper proposes an intelligent transportation system using traffic signal optimization and coordination to predict traffic flows. It reviews literature on traffic simulation software and signal timing optimization methods. It then describes the methodology for developing the prediction system, which involves data collection, network modeling, simulation calibration, and using VISSIM and Synchro software to simulate and optimize traffic flows. The goal is to reduce delays, queues and travel times at intersections in Amravati.
Assessing Level of Service of Two Lane Highways Using User Perception and Its...IJERA Editor
This document presents a study that assesses the level of service (LOS) of two-lane highways using user perception and its relationship with field measurements. The study identifies key attributes that affect user perception of LOS through a questionnaire survey. These attributes include speed, quality of road, and delay. LOS is then determined for three stretches of two-lane highways in Trivandrum, India using fuzzy set theory and fuzzy clustering based on user responses. The LOS obtained from these methods are then compared to LOS determined using the methodology in the Highway Capacity Manual, which considers percent time spent following and average travel speed. The study finds that both the fuzzy set approach and fuzzy clustering yield a LOS of C for all
Potential Field Based Motion Planning with Steering Control and DYC for ADASTELKOMNIKA JOURNAL
In this study, the development of motion planning and control for collision avoidance driver
assistance systems is presented. A potential field approach has been used in formulating the collision
avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance
systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is
designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation
environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle
collision avoidance assistance systems can successfully complete the avoidance behavior without
colliding.
This document provides a review of fuzzy microscopic traffic flow models. It discusses how fuzzy logic can be used to model traffic flow and driver behavior by introducing uncertainty into variables like speed and headway. It describes fuzzy cellular automata models that represent traffic as vehicles characterized by fuzzy numbers for position and velocity. It also covers fuzzy logic car-following models that use linguistic terms and rules to model car-following behavior, and fuzzy route choice models that calculate possibility indexes to determine the most likely route. The goal of these fuzzy models is to more realistically simulate traffic flow and account for the imprecise nature of traffic data.
This document provides an overview of a student's assignment reviewing fuzzy microscopic traffic flow models. It discusses how fuzzy logic can be used to introduce uncertainty into traffic simulation models to better reflect real-world conditions. It reviews different types of fuzzy microscopic models, including fuzzy cellular models that use fuzzy numbers to represent vehicle parameters and transitions between time steps, and fuzzy logic car-following models that use fuzzy reasoning and linguistic terms to describe driver behavior. The goal is to understand how these fuzzy microscopic models work.
Pedestrian Accident Scenario of Dhaka City and Development of a Prediction ModelRafidTahmid1
Conference: International Conference on Recent Innovation in Civil Engineering for Sustainable Development (IICSD).
Year: 2015.
Place: Department of Civil Engineering, DUET - Gazipur, Bangladesh.
Type: Conference Paper.
Paper ID: TE-049.
Authors: H. M. Ahsan (1); M. H. Rahman (2).
(1) Professor, Department of Civil Engineering, BUET.
Email: hmahsan@ce.buet.ac.bd
(2) Undergraduate Student, Department of Civil Engineering, BUET.
Email: md.hasibur.rahman.buet.ce@gmail.com
Risk governance for traffic accidents by Geostatistical Analyst methodsIJRES Journal
Geographical Information Systems (GIS) are indispensable tool for administrating big datasets based on location of measured point. The values related to space may vary with both time and location. GIS-supported Geostatistical Analyst (GA) can evaluate datasets by analysing the locations of points. Maps produced using probability and prediction methods must be the base products for city planning. This study develops methods to obtain maps to determine traffic hot zones in Konya, Turkey, by applying GA supported by GIS. By applying GA, this study differs from previous studies which have determined the hot spots using linear analysis. In this study, unlike preceding studies, the aim is to determine new safe routes and zones with the help of GA.
Another, different aim is to map and determine graduated hot or safe zones using number of mortalities criterion (AC1), number of injured people criterion (AC2), number of accidents with damage only criterion (AC3), and total number of accidents criterion (AC4).
Classification Approach for Big Data Driven Traffic Flow Prediction using Ap...IRJET Journal
This document discusses a proposed system for predicting traffic flow using big data and classification approaches. The system uses K-Nearest Neighbors (KNN) classification to identify traffic patterns and routes. It then uses a Convolutional Neural Network (CNN) to predict traffic flow levels on particular routes. The KNN identifies travel times between locations while the CNN predicts flow levels. The proposed system is evaluated using metrics like root mean squared error and mean relative error, and is found to improve accuracy and reduce prediction time compared to existing methods. The system aims to provide route recommendations to users based on minimum predicted traffic flow.
This document summarizes a study of traffic flow characteristics for heterogeneous traffic in India. Speed, flow, and time headway data were collected from a six-lane urban road and analyzed. Headways between different vehicle combinations were found to best fit several statistical distributions. Speed-flow curves were plotted to determine the speed at which optimal flow occurs, though the study was limited by only using one hour of data. The results provide insight into modeling headways and understanding traffic flow in heterogeneous, mixed traffic conditions.
Sensor Based Detection & Classification of Actionable & Non-Actionable Condit...IRJET Journal
This document describes a proposed system to detect and classify the conditions of roadways using sensors in smartphones. The system aims to differentiate between actionable obstacles that require maintenance from non-actionable bumps or obstacles. It collects data from smartphone sensors like accelerometers and GPS under precise conditions while the phone is in a moving vehicle. This data is then analyzed using classification algorithms and thresholds to identify anomalous bumps or potholes that require repair. The locations and details of potential issues are stored on a server and displayed to users through a mobile app to help maintain road quality and provide route guidance. The system is intended to leverage daily smartphone use to engage people in contributing to improvements in their local transportation infrastructure.
Application of Cumulative Axle Model To Impute Missing Traffic Data in Defect...IJERDJOURNAL
Abstract: An automatic vehicle classification (AVC) station is typically composed of three sensors per lane. Instances of data missing from the traffic datasets collected at such stations can occur as a result of issues such as one of the sensors malfunctioning. Although various data imputation methods, such as autoregressive integrated moving average (ARIMA), exponential smoothing, and interpolation, have been proposed to deal with this problem, they are either too complicated or have significant errors. This paper proposes a model, called the “cumulative axle model,” that minimizes such errors in traffic volume data resulting from a malfunctioning sensor at AVC stations. Evaluations conducted in which missing traffic volume data imputation was simulated using the proposed cumulative axle model indicate that our method has a mean absolute percentage error (MAPE) of 2.92%. This is significantly more accurate than that of conventional imputation methods, which achieve a MAPE of only 10% on average.
IRJET- Review Paper on Estimate Traffic Volume and Geometric Design on Select...IRJET Journal
This document summarizes a research paper that studied traffic volume on a selected stretch of road in Nagpur, India. The researchers conducted a manual traffic flow survey to estimate traffic volume. They collected data at different time periods to understand traffic patterns. Their goals were to help control traffic at intersections and suggest safety improvements to meet future needs. Specifically, they estimated traffic volume in passenger car units to account for different vehicle types. Their analysis of traffic volume can inform transportation planning, road design, and traffic management.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
This document estimates the expected number of accidents on sections of a road in Nagpur, India and examines the relationship between accidents and geometric road variables. Accident and road characteristic data were collected for eight sections over three years. Negative binomial regression identified relationships between accidents and average daily traffic, road width, length, speed, and number of accesses. The empirical Bayes method was then used to calculate the expected number of accidents, standard deviation, and expected accidents per km/year for each section. Results show variations in expected accidents across sections based on their characteristics.
This document presents a study on developing an artificial intelligence system to manage real-time traffic. The study developed a traffic simulator using Python to model vehicle and traffic light behavior at an intersection. A linear regression model was then used to control the traffic lights dynamically based on current traffic conditions, collected from sensors. Testing showed the AI-based dynamic system improved traffic flow compared to a static traffic light system, allowing more vehicles to pass through the intersection in a given time period. The authors conclude the linear regression model provides better real-time traffic management than existing approaches and suggest further improving it with deep learning techniques.
ESTIMATION OF CAPACITY AND MODEL DEVELOPMENT USING LINEAR REGRESSIONIRJET Journal
This document presents a study that aimed to estimate the capacity of two-lane roads and develop a multiple linear regression model for capacity. Data on vehicle volumes, speeds and road geometry were collected from two sites in Kerala, India. The data was analyzed to determine vehicle proportions and speed profiles. A regression model for capacity was developed using SPSS with capacity as the dependent variable and factors like stream equivalency, shoulder width, and speed as independent variables. The model had good fit with an R2 value of 0.996. The study concluded that capacity is positively associated with shoulder width and speed, but negatively associated with stream equivalency factor.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
This document presents a study that compares traffic signals with and without signal coordination at various intersections.
The study focuses on quantifying congestion at intersections by updating signal timing to improve intersection capacity, reduce delays, and enhance overall traffic efficiency. Signal coordination is identified as the most effective method to maximize vehicle flow across intersections with minimum stops and accidents.
The study designs traffic signals for various intersections based on field data using Webster's method. Signal timing and offsets are theoretically coordinated for a route between intersections to establish a green wave bandwidth. Simulation results show that with coordination, delays, queue lengths and fuel consumption are reduced compared to without coordination.
Comparative study of traffic signals with and without signal coordination of ...IRJET Journal
1) The document presents a comparative study of traffic signals with and without signal coordination at various intersections. It aims to quantify congestion and update signal timing to improve traffic flow.
2) A literature review is presented on previous studies related to signal optimization and coordination. Simulation software is used to model traffic behavior and coordinate signal timing.
3) Field data on traffic volume and speed is collected. Signals are designed using Webster's method and coordinated theoretically to maximize green bandwidth. Simulation results show reduced delays, queue lengths and fuel consumption with coordination.
Estimation of IRI from PCI in Construction Work ZonesIDES Editor
Roughness is good evaluator of performance of road.
This paper presents a case study of IRI (International
Roughness Index) estimation at NH 67 during four laning of
Trichy - Tanjavur section. An attempt has been made to
evaluate the IRI of construction work zones using Levenberg-
Marquardt back-propagation training algorithm. A MATLAB
based model is developed, and the data from the case study are
used to train and test the developed model to predict IRI. The
models’ performances are evaluated through Correlation
coefficient (R2) and Mean Square Error (MSE).
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
A Review on Distribution Models Using for Different Traffic ConditionIRJET Journal
This study examines headway distribution models used under different traffic conditions. It aims to provide an understanding of how headway variability affects traffic flow parameters like capacity, level of service, and safety. The document discusses both macroscopic and microscopic approaches to modeling traffic, including factors that influence headway and methods to measure headway. It also explores how headway data can be used to determine road capacity and assess traffic conditions.
IRJET- Design and Development of Traffic Flow Prediction System for Efficient...IRJET Journal
This document discusses the design and development of a traffic flow prediction system for Amravati City, India to improve traffic movements. It begins by noting the increasing traffic problems in Amravati due to rising vehicle numbers. The city currently uses pre-timed traffic signal controls that are inefficient. The paper proposes an intelligent transportation system using traffic signal optimization and coordination to predict traffic flows. It reviews literature on traffic simulation software and signal timing optimization methods. It then describes the methodology for developing the prediction system, which involves data collection, network modeling, simulation calibration, and using VISSIM and Synchro software to simulate and optimize traffic flows. The goal is to reduce delays, queues and travel times at intersections in Amravati.
Assessing Level of Service of Two Lane Highways Using User Perception and Its...IJERA Editor
This document presents a study that assesses the level of service (LOS) of two-lane highways using user perception and its relationship with field measurements. The study identifies key attributes that affect user perception of LOS through a questionnaire survey. These attributes include speed, quality of road, and delay. LOS is then determined for three stretches of two-lane highways in Trivandrum, India using fuzzy set theory and fuzzy clustering based on user responses. The LOS obtained from these methods are then compared to LOS determined using the methodology in the Highway Capacity Manual, which considers percent time spent following and average travel speed. The study finds that both the fuzzy set approach and fuzzy clustering yield a LOS of C for all
Potential Field Based Motion Planning with Steering Control and DYC for ADASTELKOMNIKA JOURNAL
In this study, the development of motion planning and control for collision avoidance driver
assistance systems is presented. A potential field approach has been used in formulating the collision
avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance
systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is
designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation
environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle
collision avoidance assistance systems can successfully complete the avoidance behavior without
colliding.
This document provides a review of fuzzy microscopic traffic flow models. It discusses how fuzzy logic can be used to model traffic flow and driver behavior by introducing uncertainty into variables like speed and headway. It describes fuzzy cellular automata models that represent traffic as vehicles characterized by fuzzy numbers for position and velocity. It also covers fuzzy logic car-following models that use linguistic terms and rules to model car-following behavior, and fuzzy route choice models that calculate possibility indexes to determine the most likely route. The goal of these fuzzy models is to more realistically simulate traffic flow and account for the imprecise nature of traffic data.
This document provides an overview of a student's assignment reviewing fuzzy microscopic traffic flow models. It discusses how fuzzy logic can be used to introduce uncertainty into traffic simulation models to better reflect real-world conditions. It reviews different types of fuzzy microscopic models, including fuzzy cellular models that use fuzzy numbers to represent vehicle parameters and transitions between time steps, and fuzzy logic car-following models that use fuzzy reasoning and linguistic terms to describe driver behavior. The goal is to understand how these fuzzy microscopic models work.
Pedestrian Accident Scenario of Dhaka City and Development of a Prediction ModelRafidTahmid1
Conference: International Conference on Recent Innovation in Civil Engineering for Sustainable Development (IICSD).
Year: 2015.
Place: Department of Civil Engineering, DUET - Gazipur, Bangladesh.
Type: Conference Paper.
Paper ID: TE-049.
Authors: H. M. Ahsan (1); M. H. Rahman (2).
(1) Professor, Department of Civil Engineering, BUET.
Email: hmahsan@ce.buet.ac.bd
(2) Undergraduate Student, Department of Civil Engineering, BUET.
Email: md.hasibur.rahman.buet.ce@gmail.com
Risk governance for traffic accidents by Geostatistical Analyst methodsIJRES Journal
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SUBHAM-TERM PAPER.pptx
1. 18-Jul-23
1
1
1
QUANTIFICATION OF LOS AT
UNCONTROLLED MEDIAN OPENING
USING APPROACH SPEED DELAY
Under the guidance of:
Dr . Jyoti Prakash Giri
Asst. Professor
Present By
M. MONIKA
(JNTU NO:18341A0160)
Department of Civil Engineering
3. 18-Jul-23
3
INTRODUCTION
Level of Service (LoS) is a term that designates a range of operating
conditions on a particular type of facility.
The traffic conditions at median openings in developing countries like
India are completely different as they consist of heterogeneous traffic, and
the rule of priority is hardly followed by road users. Due to this peculiar
characteristic of road users and vehicles, the approaching through vehicles
experience delay due to limiting or reversal of priority situations.
4. 18-Jul-23
4
LITERATURE REVIEW:
Mohanty & Dey (2018)
Traffic movement at uncontrolled median openings using ‘area
occupancy’ as a measure of effectiveness. In this study, the total area
occupancy at the possible conflict area of the median opening has been
used as the measure of effectiveness to define LOS ranges for the
uncontrolled median opening sections.
Mohapatra et al. (2015):
Defined the LOS criteria of uncontrolled median openings service
delay to minor priority movement. i.e.; delay to U turns is considered as
a measure of effectiveness.
The quality of operating conditions on a particular type of facility is
described by Level of service. The operating condition of a median
opening is described by the delay experienced by the low priority
movement i.e. U-turning vehicles. .
LITERATURE REVIEW
5. 18-Jul-23
5
Axer & Friedrich (2014)
A great advantage of the developed concept is the free and
therefor cost-neutral usage of digital map data from Open Street
Map. Further need for research could be finally seen in the
optimization of a fully-automatic TMC-segments generation when
working with Open Street Map data.
The paper demonstrates that the developed fourth stage concept
could be applied successfully for the road network of Hanover and
the surrounding area.
Dr. Tom V. Mathew (2014)
Non signalized remedies can be used to manage congestion by
providing more space in terms of extra lanes.
Signalized remedies are more efficient than any other measures
of street congestion management. It can be understood that urban
streets are integral part of transportation system. These are
classified on their function, design for various considerations
taking into account.
6. 18-Jul-23
6
Rousseeuw (1986)
Silhouettes: The entire clustering is displayed by combining the
silhouettes into a single plot, allowing an appreciation of the relative
quality of the clusters and an overview of the data configuration.
The average silhouette width provides an evaluation of clustering
validity, and might be used to select an ‘appropriate’ number of clusters.
HideyukiKita (2000)
Individual driver’s perception on the level-of-service.
The calibrated utility function based on a set of observation data
shows a fairly good reproduction capability on the behaviour of the
observed drivers.
Marwah & Singh (2000)
The level of service (LOS) is a composite of several operating
characteristics that are supposed to measure the quality of service as
perceived by the user at different flow levels.
7. 18-Jul-23
7
Pollard & van der Laan (2002)
Developed a clustering algorithm called PAMSIL that replaces the
criteria function in PAM with average silhouette. Since PAMSIL
optimizes average silhouette, it may be a more appropriate algorithm to
use with MSS.
Rahman & Nakamura (2005)
A study on passing over taking characteristics and level of service of
heterogeneous traffic flow.( gives a model of overtaking in terms of total
traffic volume and percentage of rickshaws).
Malikarjun & Rao (2006)
Developed a regression equation in paper (Modelling the area
occupancy of major stream traffic)
8. 18-Jul-23
8
Arasan & Dhivya (2008)
It was found that the relationships are logical and hence it is inferred
that the concept of area-occupancy is valid to measure accurately the
extent of usage of road space by vehicles.
Ghosh et al. (2013)
While the latest Highway Capacity Manuals(TRB, 2010) recommends
the use of ATS, PTSF, PFFS for different classes of roads as
performance measures, researchers in the United States and other
countries found large discrepancies between performance measures
obtained from HCM-defined analytical procedure and field data which
makes the evaluation of the existing operational conditions of two-lane
roads really challenging.
Patnaik et al. (2015)
Divisive Analysis Clustering (DIANA)is a very successful clustering
tool that be applied for all kinds of urban roads have varying traffic
flow. The applicability of GPS in collection of speed data with high
precision in short time is established.
9. METHODOLOGY
From the literature reviews we got to know the gaps, where
more work and research is needed.
18-Jul-23 9
For example - Area occupancy method has not been used in non-
signalised intersections.
10. • A large amount of traffic data has been extracted from the
recorded video where the speed from start of slowdown section
to median opening and speed within the median opening has
been noted, consequently calculating the percentage of change
in speeds of individual vehicles from slowdown section to the
center of median opening area.
• It was observed that the speeds of the vehicles generally
decrease within the median opening area as reported by
Mohanty et al. (2017) earlier.
18-Jul-23 10
METHODOLOGY
11. 18-Jul-23 11
Statistical Parameters
Speed up to the start of
median opening
Speed within the
median opening
Percentage reduction of
speed
Mean 40.8052 30.5752 25.3326
Std. Deviation 6.39173 8.08704 15.00765
Skewness .301 -.183 .510
TABLE-1
12. 18-Jul-23 12
The figures (1, 2, and 3) prove that the speeds of the vehicles while
approaching towards the median opening at the start of median opening
nearly matches a normal distribution which is little positively skewed.
Both the graphs depict that the vehicles are adversely affected by the
presence of median opening and U-turning vehicles which leads them to
decrease their speed non-uniformly.
Had the reduction in speed been according to their initial speeds, the
histogram for Figure 2 would have matched the histogram in Figure 1
which is not observed.
Figure 3 depicts the frequencies of percentage reduction in speed and as
can be seen from the figure and Table 1, majority of the vehicles have
reduced their speeds at a percentage of 10 to 30%.
13. 18-Jul-23 13
t-test Mean Std. Deviation
Std. Error
Mean
t Sig.
Speed upto
the start of
median
opening and
Speed within
the median
opening
10.23 5.96 0.163 62.81 0.00
TABLE-2
15. 18-Jul-23 15
Table 3 depicts that percentage reduction in speed has a negative
correlation with speed 1 and speed 2.
However, the correlation of percentage reduction in speed is statistically
significant only with speed 2 i.e., the speed within the median opening
area (R-value: -0.825).
This clearly indicates the initial speed of vehicles upto the start of
median opening doesn’t affect their reduction in speed within the median
opening area. Rather the undesirable rate of speed reduction depends
strongly on the speed of vehicles within the median opening.
Therefore, various mathematical relations (linear, logarithmic, quadratic,
exponential) are developed to estimate the percentage reduction in speed
considering speed 2 as independent variable.
The R-square values for all the models were checked along with p-
value/sig. value. The details of the statistics pertaining to various curve
estimations are provided in Table 4.
16. 18-Jul-23 16
Equation
Model Summary Parameter Estimates
R Square Sig. Constant b1 b2
Linear .680 .000 70.52 -1.45
Logarithmic .735 .000 167.42 -41.81
Quadratic .765 .000 119.36 -5.00 .06
Exponential .637 .000 117.12 -.05
TABLE-4
17. 18-Jul-23 17
It is observed that the p-value in case of all curve fittings have come less
than 0.05.
Therefore, the model with highest R-square value has been used for
determining the percentage reduction in speed.
In the present study, quadratic model has been found to estimate the
percentage reduction most accurately in speed from the speed values
within the median opening area with an R-square of 0.765 as shown in
Table 4.
Thus, the developed mathematical equation to determine the percentage
reduction in speed from the speed within the median opening area is as
follows.
PRS = 119.36 - (5 × SWMO) + (0.06 × SWMO^2)
Where,
PRS = Percentage reduction in speed
SWMO= Speed within the median opening area in kmph
18. 18-Jul-23 18
The equation works best for speeds ranging from 9 to 50 kmph within
the median opening area. To validate the equation, the difference between
field data and model result is compared for the data that has not been used
for model development. The mean absolute percentage error (MAPE) has
been calculated for the data. The formula used to calculate MAPE is as
follows.
Where, At is the actual value; and
Ft is the model value and n represents the number of data used for
validation.
The highest mean absolute percentage error (MAPE) for the present data
came to be in the order of 8%, which is an acceptable value. MAPE value
less than or equal to 10% is considered to be strong enough (Liu et al.,
2008). Therefore, by using speeds within the median opening area, the rate
of reduction in speed from the start of median opening to the center of the
median opening can be determined using developed equation (Eq. 1) with
good level of accuracy.
𝑀 = 1
𝑛
𝑡=1
𝑛
𝐴𝑡−𝐹𝑡
𝐴𝑡
19. 18-Jul-23 19
Thorough literature reviews were conducted after which speed at both
the positions were obtained then they were compared and it was found that
the calculated speeds were different from each other, therefore the
percentage reduction in speed has also been calculated, and using it we
have developed a quadratic equation with an accuracy of 92%.
This equation will help us to determine PRS with high level of accuracy,
after which we will use clustering technique to determine the LOS for the
median opening.
SUMMARY
20. 18-Jul-23 20
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based on low-frequency floating car data." Transportation Research
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