scholarly journals Development and attribution of a linear referencing system for managing and disseminating traffic volume data on rural highway networks

2021 ◽  
Author(s):  
Auja Ominski ◽  
Puteri Paramita ◽  
Jonathan D. Regehr
Keyword(s):  
Traffic Volume ◽  
Volume Data ◽  
Highway Networks ◽  
Rural Highway ◽  
Linear Referencing System

Analisis Kinerja dan Pengaruh Pelebaran Jalan serta Pembuatan Median Jalan (Studi Kasus Jalan Temanggung Tilung Kota Palangkaraya)

2018 ◽  
Vol 7 (1) ◽  
pp. 51-60
Author(s):  
Fitri Wulandari ◽  
Nirwana Puspasari ◽  
Noviyanthy Handayani
Keyword(s):  
Data Retrieval ◽  
Service Level ◽  
Traffic Volume ◽  
Primary Data ◽  
Volume Data ◽  
Saturation Degree ◽  
The Road ◽  
Before And After ◽  
Road Widening ◽  
The Way

Jalan Temanggung Tilung is a 2/2 UD type road (two undirected two-way lanes) with a road width of 5.5 meters, which is a connecting road between two major roads, namely the RTA road. Milono and the path of G. Obos. Over time, the volume of traffic through these roads increases every year, plus roadside activities that also increase cause congestion at several points of the way. To overcome this problem, the local government carried out road widening to increase the capacity and level of road services. The study was conducted to determine the amount of traffic volume, performance, service level of the Temanggung Tilung road section at peak traffic hours before and after road widening. Data retrieval is done by the direct survey to the field to obtain primary data in the form of geometric road data, two-way traffic volume data, and side obstacle data. Performance analysis refers to the 1997 Indonesian Road Capacity Manual (MKJI) for urban roads. From the results of data processing, before increasing the road (Type 2/2 UD), the traffic volume that passes through the path is 842 pcs/hour and after road widening (Type 4/2 UD) the traffic volume for two directions is 973 pcs/hour, with route A equaling 528 pcs/hour and direction B equaling 445 pcs/hour. Based on the analysis of road performance before road enhancement, the capacity = 2551 pcs/hour, saturation degree = 0.331, and the service level of the two-way road are level B. Based on the analysis of the performance of the way after increasing the way, the direction capacity A = 2686 pcs/hour and direction B = 2674 pcs /hour, saturation degree for direction A = 0.196 and direction B = 0.166, service level for road direction A and direction B increase to level A

scholarly journals ANALISIS FAKTOR KEMACETAN TERHADAP KINERJA LALU LINTAS DI RUAS JALAN JENDERAL BASUKI RAHMAT (STUDI KASUS: MALL BASSURA)

LOGISTIK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 12-18
Author(s):  
Hafidzsyah Alfiana ◽  
Adhi Purnomo
Keyword(s):  
Service Level ◽  
Traffic Volume ◽  
Volume Data ◽  
Street Vendors ◽  
The Road ◽  
Traffic Performance ◽  
Field Data Collection ◽  
Road Performance ◽  
Observation Method ◽  
Wheeled Vehicles

Commercial buildings in the Bassura Mall area (Jalan Jenderal Basuki Rahmat) have resulted in congestion in the area. Vehicles use road bodies to park their vehicles, sidewalks that are used as trading places by street vendors, and the position of the entrance / exit of Bassura Mall for four-wheeled vehicles that is not strategic. These things have caused the author to choose a location in the Bassura Mall area (Jalan Jenderal Basuki Rahmat), East Jakarta which is a local route, where East Jakarta as one of the big cities in the Special Capital Region of Jakarta also experiences high vehicle growth, p. This can be seen on roads in East Jakarta which often experience congestion during rush hour. The purpose of this research is to determine the traffic performance in the area. The method used in this research is direct observation method at the research location and field data collection in the form of parking volume data, pedestrian volume, vehicle volume entering / exiting Mall Bassura, traffic volume, and road performance. Observations were made on weekdays and holidays. The results of the analysis of the performance of the road sections show that the traffic volume on the roads around Mall Bassura is 32,433 SMP / hour on weekdays and 22,577 SMP / hour on holidays, with the service level index being in the F category on weekdays and holidays. Thus, the congestion factors mentioned above have resulted in a decrease in road capacity which has an impact on road performance.

scholarly journals Developing a Strategy for Imputing Missing Traffic Volume Data

2010 ◽  
Author(s):  
Mei Chen ◽  
Jingxin Xia ◽  
Rongfang (Rachel) Liu
Keyword(s):  
Data Management ◽  
Management System ◽  
Implementation Strategy ◽  
Traffic Volume ◽  
Data Management System ◽  
Volume Data ◽  
Potential Resource ◽  
Transportation Applications ◽  
Archive Data

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

scholarly journals Model for Estimating Travel Time on Dynamic Highway Networks in Akure, Ondo State Nigeria

2020 ◽  
Vol 5 (3) ◽  
pp. 275-281
Author(s):  
Onyemaechi John Nnamani ◽  
Victor Ayodele Ijaware ◽  
Joseph Olalekan Olusina ◽  
Timothy Oluwadare Idowu
Keyword(s):  
Regression Model ◽  
Travel Time ◽  
Traffic Volume ◽  
Real Field ◽  
Percentage Error ◽  
Time Variability ◽  
Time Model ◽  
Independent Variables ◽  
Highway Networks ◽  
Significant Difference

Travel time variability or distribution is very important to travel time reliability studies in transportation systems. This study aimed at developing a multivariate regression model for estimating travel times for dynamic highway networks in Akure Metropolis. The independent variables for the model are Traffic volume, density, speed of vehicles, and traffic flow while the dependent response variable is the Travel time. The estimated travel time was compared with the observed travel time from the real field data and the estimation using the regression model reveals a significant level of accuracy. Also, it was discovered that traffic volume, speed, density, and flow were highly correlated with travel time. The result analyzed using descriptive statistics in the SPSS software environment reveals an R2 value of 0.998, thereby indicating that the independent variables accounted for 99% of travel time in the study area. The Hypothesis tested at 95% confidence level using ANOVA unveils that there is no significant difference between the observed and estimated travel time model. The Mean Absolute Percentage Error (MAPE) of 0.049 shows that the model performed very well and was very efficient for analyzing the probabilistic relation between travel time and the independent variables. The study recommends the use of the developed travel time model for estimating travel time within the study area.

scholarly journals Analysis Of The Performance East Circle Road Of Sidoarjo

2021 ◽  
Vol 1 (2) ◽  
pp. 37-42
Author(s):  
Muhammad Ayung Tama ◽  
M. Ikhsan Setiawan ◽  
Sapto Budi Wasono
Keyword(s):  
Service Level ◽  
Traffic Volume ◽  
Degree Of Saturation ◽  
Volume Data ◽  
Ring Road ◽  
The Road ◽  
Road Capacity ◽  
Steady Current ◽  
Road Performance ◽  
On The Road

Along with the increasing number of the population of Sidoarjo, this has an i mpact on traffic volume, it occurs on the road of Gedangan roads to Buduran, therefore carried out the transfer of road access to the East Ring Road with specialized for heavy vehicles, due to the transfer of the road, it is necessary to perform the analysis of the East circumference road performance. The research aims to determine the magnitude of the influence of heavy vehicle volumes on the road performance of the East Ring road. The performance Of the east circumference traffic by counting the Level Of Service (LOS) and calculating the volume Of the vehicle compared to the road capacity (degree Of saturation). Traffic volume Data surveyed for 2 days (6 and 10 August 2020), for 6 hours per day at 06.00 – 08.00, 12.00 – 14.00, and 16.00 – 18.00. The analysis of road performance is using the Manual road Capacity (MKJI) method with a degree of saturation (DS) as the main indicator of road performance. The results of the analysis showed the performance of the road on the condition of the excitation point 1 the value of saturation of 0.61 and in point 2 of the value of saturation 0.97 and the result of service level of roadway 1 is C (steady current speed and motion-controlled vehicles) and in point 2 is E (current unstable speed sometimes stalled close request of capacity).

scholarly journals Traffic Volume Data Outlier Recovery via Tensor Model

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Huachun Tan ◽  
Jianshuai Feng ◽  
Guangdong Feng ◽  
Wuhong Wang ◽  
Yu-Jin Zhang
Keyword(s):  
Real World ◽  
Intelligent Transportation System ◽  
Synthetic Data ◽  
Intelligent Transportation ◽  
Traffic Volume ◽  
Tensor Model ◽  
Volume Data ◽  
Recovery Method ◽  
Tensor Recovery ◽  
Outlier Data

Traffic volume data is already collected and used for a variety of purposes in intelligent transportation system (ITS). However, the collected data might be abnormal due to the problem of outlier data caused by malfunctions in data collection and record systems. To fully analyze and operate the collected data, it is necessary to develop a validate method for addressing the outlier data. Many existing algorithms have studied the problem of outlier recovery based on the time series methods. In this paper, a multiway tensor model is proposed for constructing the traffic volume data based on the intrinsic multilinear correlations, such as day to day and hour to hour. Then, a novel tensor recovery method, called ADMM-TR, is proposed for recovering outlier data of traffic volume data. The proposed method is evaluated on synthetic data and real world traffic volume data. Experimental results demonstrate the practicability, effectiveness, and advantage of the proposed method, especially for the real world traffic volume data.

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