Car Drivers’ Experienced Level of Service on Freeways

2017 ◽  
Vol 2615 (1) ◽  
pp. 132-139
Author(s):  
Søren Underlien Jensen
Keyword(s):  
Level Of Service ◽  
Traffic Operations ◽  
Linear Modeling ◽  
Rear Window ◽  
Video Clips ◽  
Logit Regression ◽  
Geometric Conditions ◽  
Driver's License ◽  
Car Travel ◽  
Diverge Areas

The Danish Road Directorate sponsored a study to develop methods for quantifying car drivers’ experienced level of service on freeways. The results provide a measure of how well freeways accommodate car travel. To determine how traffic operations, geometric conditions, and other variables affect car drivers’ satisfaction, 188 randomly selected respondents were shown 80 video clips of roadway segments filmed from a driven passenger car. Video clips consisted of high-resolution video filmed through a windshield, side windows including exterior mirrors, and a rear window. Video clips also included a GPS-based speedometer. Respondents rated video clips on a six-point scale ranging from very satisfied to very dissatisfied. The result was 7,497 usable ratings. Four hundred to 450 variables described respondents’ answers to six background questions and the video clips, that is, roadway segment geometries, traffic operations, surroundings, weather, and so forth. Car driver satisfaction models were developed with cumulative logit regression and ordinary generalized linear modeling. The six presented models included three to 10 variables, which related significantly ( p ≤ .05) to satisfaction ratings. These variables were average speed, speed limit, width of hard shoulder, number of entries and other merge areas per mile, number of exits and other diverge areas per mile, flow of long vehicles per lane per hour, direction of sunlight, driver age, type of driver’s license, and driver yearly mileage. Models returned percentage splits of the six levels of satisfaction or average satisfaction. These splits or averages were transformed into a level of service.

Development of the Bicycle Compatibility Index

1998 ◽  
Vol 1636 (1) ◽  
pp. 13-20 ◽  
Author(s):  
David L. Harkey ◽  
Donald W. Reinfurt ◽  
Matthew Knuiman
Keyword(s):  
Motor Vehicles ◽  
Level Of Service ◽  
Traffic Operations ◽  
Efficient Operation ◽  
Compatibility Index ◽  
Geometric Conditions ◽  
Operational Design ◽  
Federal Highway ◽  
Bicycle Level Of Service

Presently, there is no methodology that is widely accepted by engineers, planners, or bicycle coordinators that will allow them to determine how compatible a roadway is for allowing efficient operation of both bicycles and motor vehicles. Determining how existing traffic operations and geometric conditions affect a bicyclist’s decision to use or not use a specific roadway is the first step in determining the bicycle compatibility of the roadway. The Federal Highway Administration sponsored a study in which a methodology for deriving a bicycle compatibility index was developed. This tool can be used by bicycle coordinators, transportation planners, traffic engineers, and others to evaluate the capability of specific roadways to accommodate both motorists and bicyclists. It is intended to provide practitioners with the ability to assess the bicycle level of service present on existing facilities or on proposed facilities and can be used for operational, design, and planning analyses.

scholarly journals Pengaruh Keberadaan Pasar Sungai Lulut Terhadap Kinerja Jalan Martapura Lama KM. 05

2018 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Riska Hawinuti
Keyword(s):  
Secondary Data ◽  
Degree Of Saturation ◽  
Primary Data ◽  
Level Of Service ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
Geometric Conditions ◽  
Calculation Results ◽  
Side Friction ◽  
The Impact

Jalan Martapura Lama is an alternative road connecting Banjarmasin, Martapura and Banjarbaru city and it is under the administration of Banjar Regency. The existence of Sungai Lulut Market in Kilometer 05 consistently causing congestion to the area, especially during peak hours. The purpose of this study is to determine the impact of market activities on the performance of Jalan Martapura Lama KM 05 indicated by the degree of saturation (DS) and the value of the level of road service. The method of primary data collection was by conducting traffic surveys and measuring geometric conditions in the site manually on Tuesday to Thursday, 06-08 February 2018 during the morning rush hour (07.00-08.00 a.m), the noon hour (12.00-14.00 p.m) and afternoon rush hour (16.00 to 18.00 p.m) while the secondary data was obtained from the internet. The calculation refers to Indonesian Highway Capacity Manual (MKJI) 1997. From the calculation results it can be concluded that the impact of market activities on the performance of Jalan Martapura Lama KM 05 indicated by the degree of saturation (DS) and the value of road level of service with the optimum DS is 0,68 with the value of level of road service is C on Thursday’s afternoon rush hour and the minimum DS is 1.34 with the value of level of road service is F on Wednesday’s morning rush hour. With a total frequency of occurrences and side friction class of 571 frequencies, the maksimum friction is incoming and outgoing vehicles on area alongside roads (EEVs) of 446 occurrences on Tuesday in the morning rush hour.

PENENTUAN BIAYA KEMACETAN LALU LINTAS PADA SIMPANG BERSINYAL SGM YOGYAKARTA

2019 ◽  
Vol 19 (2) ◽  
pp. 77-86
Author(s):  
Noor Mahmudah ◽  
Evie Andriani
Keyword(s):  
Traffic Congestion ◽  
Performance Indicator ◽  
Service Level ◽  
Traffic Volume ◽  
Signalized Intersection ◽  
Level Of Service ◽  
Vehicle Speed ◽  
Geometric Conditions ◽  
Congestion Costs ◽  
High Traffic Volume

Abstract The SGM signalized intersection in the city of Yogyakarta is a junction with high traffic volume and has the potential to cause traffic congestion. This study aims to analyze the performance of this intersections and es-timate costs due to congestion that occurs. This study was performed by conducting a field survey to determine the geometric conditions, traffic volume, cycle time, and vehicle speed. The data obtained are then analyzed and modeled using Vissim 10 software. The intersection performance indicator considered is the queue length and level of service. The calculation of congestion costs using indicators of vehicle numbers, vehicle operating costs, spot speed, desired speed, travel time value, and queue time. The results of the observation showed that the performance of the SGM signalized intersection in Yogyakarta was very poor, with the level of service F at peak hours, so that repairs need to be done. In this study, the recommended solution consists of 2 alternatives, namely alternative 1, by changing the phase, and alternative 2, by widening the road. The results of the analysis show that alternative 2 provides the best solution to improve performance and reduce congestion costs at the intersection. Keywords: signal intersection, congestion costs, service level, intersection performance, queue  Abstrak Simpang bersinyal SGM di Kota Yogyakarta merupakan suatu simpang dengan volume lalu lintas tinggi dan berpotensi menimbulkan kemacetan lalu lintas. Penelitian ini bertujuan untuk menganalisis kinerja simpang tersebut dan mengestimasi biaya akibat kemacetan yang terjadi. Studi ini dilakukan dengan melakukan survei lapangan untuk mengetahui kondisi geometrik, volume lalu lintas, waktu siklus, dan kecepatan kendaraan. Data yang diperoleh selanjutnya dianalisis dan dimodelkan menggunakan perangkat lunak Vissim 10. Indikator kinerja simpang yang dipertimbangkan adalah antrian dan tingkat pelayanan. Perhitungan biaya kemacetan menggunakan indikator jumlah kendaraan, biaya operasional kendaraan, kecepatan sesaat, kecepatan ideal, nilai waktu perjalanan, dan waktu antrian. Hasil pengamatan menunjukkan bahwa kinerja simpang bersinyal SGM Yogyakarta sangat buruk, dengan tingkat pelayanan F pada jam puncak, sehingga perlu dilakukan perbaikan. Pada kajian ini, solusi yang direkomendasikan terdiri atas 2 alternatif, yaitu alternatif 1, dengan mengubah fase, dan alternatif 2, dengan melakukan pelebaran jalan. Hasil analisis menunjukkan bahwa alter-natif 2 memberikan solusi terbaik untuk meningkatkan kinerja dan mengurangi biaya kemacetan pada simpang. Kata-kata kunci: simpang bersinyal, biaya kemacetan, tingkat pelayanan, kinerja simpang, antrian

Analysis of Traffic Operations at All-Way Stop-Controlled Intersections by Simulation

1996 ◽  
Vol 1555 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Michael Kyte ◽  
Wayne Kittelson ◽  
Tian Zong Zhong ◽  
Bruce Robinson ◽  
Mark Vandehey
Keyword(s):  
Simulation Model ◽  
Field Data ◽  
The United States ◽  
Level Of Service ◽  
Traffic Operations ◽  
Unsignalized Intersections ◽  
Common Intersection ◽  
Significant Research ◽  
Vehicle Delay ◽  
The Common

All-way stop-controlled (AWSC) intersections are one of the common intersection types in the United States. Although significant research has been completed on signalized intersections and two-way stop-controlled intersections, a limited number of studies have been made of traffic operations at AWSC intersections. In addition, although a general analytical procedure now exists for AWSC intersections, it is not capable of handling the wide variety of conditions typically faced by the practicing traffic engineer. Further, it may not be computationally possible for an analytical model to handle the large number of vehicle interaction combinations that exist at AWSC intersections. This study presents a new AWSC simulation model and some of the results from that simulation. The model was tested against the field data collected during NCHRP Project 3-46, Capacity and Level of Service at Unsignalized Intersections. The model can be used to predict vehicle delay, queue length, and saturation headways, which have shown good correlation with the field data. The simulation model predicted the same level of service for about 66 percent of the cases tested, and for 100 percent of the cases the model predicted level of service within one level difference.

scholarly journals Estimating Freeway Level-of-Service Using Crowdsourced Data

Informatics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 17
Author(s):  
Nima Hoseinzadeh ◽  
Yangsong Gu ◽  
Lee D. Han ◽  
Candace Brakewood ◽  
Phillip B. Freeze
Keyword(s):  
Travel Time ◽  
Urban Areas ◽  
Estimation Accuracy ◽  
Level Of Service ◽  
Traffic Density ◽  
Accurate Information ◽  
Traffic Operations ◽  
Statistical Measures ◽  
Crowdsourced Data ◽  
Transportation Agencies

In traffic operations, the aim of transportation agencies and researchers is typically to reduce congestion and improve safety. To attain these goals, agencies need continuous and accurate information about the traffic situation. Level-of-Service (LOS) is a beneficial index of traffic operations used to monitor freeways. The Highway Capacity Manual (HCM) provides analytical methods to assess LOS based on traffic density and highway characteristics. Generally, obtaining reliable density data on every road in large networks using traditional fixed location sensors and cameras is expensive and otherwise unrealistic. Traditional intelligent transportation system facilities are typically limited to major urban areas in different states. Crowdsourced data are an emerging, low-cost solution that can potentially improve safety and operations. This study incorporates crowdsourced data provided by Waze to propose an algorithm for LOS assessment on an hourly basis. The proposed algorithm exploits various features from big data (crowdsourced Waze user alerts and speed/travel time variation) to perform LOS classification using machine learning models. Three categories of model inputs are introduced: Basic statistical measures of speed; travel time reliability measures; and the number of hourly Waze alerts. Data collected from fixed location sensors were used to calculate ground truth LOS. The results reveal that using Waze crowdsourced alerts can improve the LOS estimation accuracy by about 10% (accuracy = 0.93, Kappa = 0.83). The proposed method was also tested and confirmed by using data from after coronavirus disease 2019 (COVID-19) with severe traffic breakdown due to a stay-at-home policy. The proposed method is extendible for freeways in other locations. The results of this research provide transportation agencies with a LOS method based on crowdsourced data on different freeway segments, regardless of the availability of traditional fixed location sensors.

The Relationship Between Leader–Member Exchange and Employees’ Proactive Behaviors

2019 ◽  
Vol 18 (2) ◽  
pp. 106-111
Author(s):  
Fong-Yi Lai ◽  
Szu-Chi Lu ◽  
Cheng-Chen Lin ◽  
Yu-Chin Lee
Keyword(s):  
Hierarchical Linear Modeling ◽  
Future Research ◽  
Leader Member Exchange ◽  
Voice Behavior ◽  
Linear Modeling ◽  
Team Members ◽  
Member Exchange ◽  
Multi Temporal ◽  
The Relationship ◽  
Practical Implications

Abstract. The present study proposed that, unlike prior leader–member exchange (LMX) research which often implicitly assumed that each leader develops equal-quality relationships with their supervisors (leader’s LMX; LLX), every leader develops different relationships with their supervisors and, in turn, receive different amounts of resources. Moreover, these differentiated relationships with superiors will influence how leader–member relationship quality affects team members’ voice and creativity. We adopted a multi-temporal (three wave) and multi-source (leaders and employees) research design. Hypotheses were tested on a sample of 227 bank employees working in 52 departments. Results of the hierarchical linear modeling (HLM) analysis showed that LLX moderates the relationship between LMX and team members’ voice behavior and creative performance. Strengths, limitations, practical implications, and directions for future research are discussed.

Flower roundabouts: estimation of capacity and level of service

2013 ◽  
Author(s):  
Marco Guerrieri ◽  
Dario Ticali ◽  
Ferdinando Corriere ◽  
Fabio Galatioto
Keyword(s):  
Level Of Service
Sign in / Sign up

Export Citation Format

Share Document