Characteristics Analysis of Traffic Congestion Patterns Based on Traffic Performance Index

2021 ◽  
Author(s):  
Yujie Sun ◽  
Sining Liu
Keyword(s):  
Performance Index ◽  
Traffic Congestion ◽  
Traffic Performance ◽  
Characteristics Analysis

scholarly journals Traffic congestion analysis using travel time ratio and degree of saturation on road sections in Palembang, Bandung, Yogyakarta, and Surakarta

2018 ◽  
Vol 181 ◽  
pp. 06010
Author(s):  
Budi Hartanto Susilo ◽  
Ivan Imanuel
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Degree Of Saturation ◽  
Time Ratio ◽  
Saturation Velocity ◽  
Road Section ◽  
Traffic Performance ◽  
Survey Results

Traffic performance have been measured based on degree of saturation, velocity, travel time, and delays. However, they weren’t enough to measure the traffic fluctuation that happen on normal days. This study aims to develop some modified analysis about traffic congestion based on the degree of saturation (DS) and travel time ratio (TTR). The travel time ratio is defined as a ratio between the travel time at peak hour and the travel time at off-peak hour in a certain road section. Traffic congestion conditions are classified into 4 categories: Peak-hour Congestion, Lengthy Congestion, Momentary Congestion, and Smooth Traffic. Based on survey results on road sections in Palembang, Bandung, Yogyakarta, and Surakarta, it can be concluded that peak-hour congestion occurs when TTR > 1,40 and DS > 0,75, lengthy congestion occurs when TTR < 1,40 and DS > 0,75, momentary congestion occurs when TTR > 1,40 and DS < 0,75, and smooth traffic when TTR < 1,40 and DS < 0,75.

scholarly journals TRAVEL TIME ANALYSIS OF SELECTED URBAN STREETS IN BAGHDAD CITY

2021 ◽  
Vol 25 (Special) ◽  
pp. 3-157-3-164
Author(s):  
Rania M. Ahmed ◽  
◽  
Zainab A. Alkaissi ◽  
Ruba Y. Hussain ◽  
◽  
...  
Keyword(s):  
Travel Time ◽  
Traffic Congestion ◽  
Performance Metrics ◽  
Time Estimation ◽  
Travel Speed ◽  
Travel Time Estimation ◽  
Travel Time Reliability ◽  
Urban Streets ◽  
Traffic Performance ◽  
Local Speed

Estimating travel time and measuring speed are critical for increasing the efficiency and safety of traffic road networks. This study presents an investigation of arterial travel time estimation for vital routes in Baghdad city. These estimations including speeds, stops, and delays were computed via GPS device and compared to those currently used to quantify congestion and travel time reliability. The study involved a 45-day survey of private vehicles in Baghdad utilizing a Global Positioning System (GPS) probe to collect data on traffic performance metrics for analysis in a GIS context. It was found that the proposed travel time performance measures show definite differences in estimates of peak-hour travel time as compared with weekend travel time. Route (1) from Bayaa intersection - Bab Al-Mutham intersection (through highway) produced a travel time of 165 minutes and 136 minutes for Bayaa intersection - Bab Al-Mutham intersection (through downtown). The travel speed of routes 1 and 2 are observed near 25 kmph which is below the local speed limit of 70 kmph. The maximum travel time of routes 1 and 2 are 71 minutes and 37 minutes, respectively. While delay time was observed 45 and 20 minutes due to traffic congestion on route 1 and 2, respectively. The majority of vehicles are capable of traveling at normal speeds, with relatively few exceeding them.

scholarly journals Optimal Design of Signal Controlled Road Networks Using Differential Evolution Optimization Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Huseyin Ceylan
Keyword(s):  
Differential Evolution ◽  
Optimization Algorithm ◽  
Performance Index ◽  
Traffic Congestion ◽  
Network Performance ◽  
Harmony Search ◽  
User Equilibrium ◽  
Simulation Software ◽  
Computational Time ◽  
Stochastic User Equilibrium

This study proposes a traffic congestion minimization model in which the traffic signal setting optimization is performed through a combined simulation-optimization model. In this model, the TRANSYT traffic simulation software is combined with Differential Evolution (DE) optimization algorithm, which is based on the natural selection paradigm. In this context, the EQuilibrium Network Design (EQND) problem is formulated as a bilevel programming problem in which the upper level is the minimization of the total network performance index. In the lower level, the traffic assignment problem, which represents the route choice behavior of the road users, is solved using the Path Flow Estimator (PFE) as a stochastic user equilibrium assessment. The solution of the bilevel EQND problem is carried out by the proposed Differential Evolution and TRANSYT with PFE, the so-called DETRANSPFE model, on a well-known signal controlled test network. Performance of the proposed model is compared to that of two previous works where the EQND problem has been solved by Genetic-Algorithms- (GAs-) and Harmony-Search- (HS-) based models. Results show that the DETRANSPFE model outperforms the GA- and HS-based models in terms of the network performance index and the computational time required.

scholarly journals Optimization of Signal Timing of Intersections by Internal Metering of Queue Time Ratio of Vehicles in Network Scale

2016 ◽  
Vol 28 (3) ◽  
pp. 205-214 ◽  
Author(s):  
Mina Ghanbarikarekani ◽  
Soheil Sohrabi ◽  
Ali Vefghi
Keyword(s):  
Traffic Congestion ◽  
Traffic Signals ◽  
Signal Timing ◽  
Urban Network ◽  
Time Ratio ◽  
Traffic Performance ◽  
Delay Times ◽  
Network Links ◽  
Before And After ◽  
The Difference

Optimization of signal timing in urban network is usually done by minimizing the delay times or queue lengths. Sincethe effect of each intersection on the whole network is not considered in the mentioned methods, traffic congestion may occur in network links. Therefore, this paper has aimed to provide a timing optimization algorithm for traffic signals using internal timing policy based on balancing queue time ratio of vehicles in network links. In the proposed algorithm, the difference between the real queue time ratio and the optimum one for each link of intersection was minimized. To evaluate the efficiency of the proposed algorithm on traffic performance, the proposed algorithm was applied in a hypothetical network. By comparing the simulating software outputs, before and after implementing the algorithm, it was concluded that the queue time ratio algorithm has improved the traffic parameters by increasing the flow as well as reducing the delay time and density of the network.

Study on Extract and Repair Traffic Performance Index Data of Beijing

2014 ◽  
Vol 1073-1076 ◽  
pp. 2443-2446
Author(s):  
Fan Zhang
Keyword(s):  
Performance Index ◽  
Local Authority ◽  
Urban Traffic ◽  
Traffic Pattern ◽  
Urban Road ◽  
Local Database ◽  
Index Data ◽  
Traffic Performance ◽  
Data Extract ◽  
Data Missing

Urban traffic expert developed many methods to judge the performance of urban road to provide driving instruction to both drivers and the local authority. In Beijing, the traffic performance index is widely used by people every day. In order to store the traffic performance index data which is continually changed to local database, our team has tried many different ways to achieve it because we want to do deep analyze of it. By using VBA programming we successfully build a data extract system to store data. We use two different ways to process the data from the system based on data missing type. At last, the data is ready for further study to find the traffic pattern of urban area.

An optimal routing strategy on scale-free networks

2017 ◽  
Vol 28 (07) ◽  
pp. 1750087 ◽  
Author(s):  
Yibo Yang ◽  
Honglin Zhao ◽  
Jinlong Ma ◽  
Zhaohui Qi ◽  
Yongbin Zhao
Keyword(s):  
Traffic Congestion ◽  
Transportation Systems ◽  
Optimal Routing ◽  
Shortest Path Routing ◽  
Transport Efficiency ◽  
Scale Free ◽  
Routing Strategy ◽  
Traffic Capacity ◽  
Traffic Performance ◽  
Scale Free Networks

Traffic is one of the most fundamental dynamical processes in networked systems. With the traditional shortest path routing (SPR) protocol, traffic congestion is likely to occur on the hub nodes on scale-free networks. In this paper, we propose an improved optimal routing (IOR) strategy which is based on the betweenness centrality and the degree centrality of nodes in the scale-free networks. With the proposed strategy, the routing paths can accurately bypass hub nodes in the network to enhance the transport efficiency. Simulation results show that the traffic capacity as well as some other indexes reflecting transportation efficiency are further improved with the IOR strategy. Owing to the significantly improved traffic performance, this study is helpful to design more efficient routing strategies in communication or transportation systems.

scholarly journals Estimation of Traffic Delay Due to U-Turns at Uncontrolled Medians: Case Study in Phnom Penh, Cambodia

2021 ◽  
Vol 14 (1) ◽  
pp. 118
Author(s):  
Maksat Omarov ◽  
Syuhaida Ismail ◽  
Wan Nurul Mardiah Wan Mohd Rani ◽  
Serdar Durdyev
Keyword(s):  
Traffic Congestion ◽  
High Volume ◽  
Control Measures ◽  
Delay Model ◽  
Average Delay ◽  
Phnom Penh ◽  
Suggested Technique ◽  
Traffic Performance ◽  
Traffic Delay

Lack of infrastructure capacity to the demand in mobility results in delays in traffic. U-turns restrict the movement of the opposing through-traffic during the maneuver, hence triggering delays. Significant delays can be observed, especially in high volume traffic, where U-turning is not restricted. Hence, it is imperative to study the delays incurred by the U-turning vehicles to assess their impacts on traffic congestion. This study thus proposes a quantitative method to estimate the aggregate and average delay per vehicle caused by U-turns at uncontrolled medians of urban roads. Traffic data were collected at a corridor where vehicles were allowed to U-turn on a four-lane divided mixed traffic urban road in Phnom Penh, Cambodia. The delay in the opposing lane of traffic was calculated by analyzing the data using a novel analytical method; a derivative of the Webster’s delay model. The results reveal that the suggested technique evaluates the caused delay with good accuracy. Excessive traffic delay and about three seconds delay per vehicle in the through-traffic of the opposite lane align well with the experienced delay at the site. The method can be used to assess the delay at straight corridor sections where U-turns are not restricted, understand the causes of the delay, and develop control measures for improved traffic performance.

scholarly journals Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2761
Author(s):  
Tian Chen ◽  
Chun-Ming Yang ◽  
Kuen-Suan Chen ◽  
Ting-Hsin Hsu
Keyword(s):  
Performance Index ◽  
Traffic Congestion ◽  
Evaluation Model ◽  
Time Interval ◽  
Fuzzy Evaluation ◽  
Carbon Reduction ◽  
Testing Accuracy ◽  
Intelligent Management ◽  
Short Time ◽  
Fuzzy Evaluation Model

As the environment of the Internet of Things (IoT) gradually becomes common and mature, various smart application (APP) platforms have sprung up, making what we are doing more convenient, more economical and more efficient. Then, this paper used a bank APP as the research background to discuss issues related to smart APPs. Obviously, through the bank APPs, customers can complete their transfer and payment for various expenses at home, eliminating the inconvenience of going out, which not only can alleviate traffic congestion as well as reduce carbon emissions but also can save the manpower expenditure costs for banks. Consequently, improving APP performance and increasing the number of users of an APP is a very important issue. Therefore, this paper proposed an APP performance index to evaluate the performance of a bank APP. This APP performance index is to evaluate the performance of the APP through the time interval of customers’ access to the APP. The shorter the time interval is, the greater the number of users within a unit time is. In addition, based on cost considerations and effectiveness, the sample size n is usually not too large in practice, in order to make decisions quickly and accurately in a short time. Since the fuzzy testing model based on the confidence interval can be integrated with the past accumulated experience of data experts, the testing accuracy can be leveled up under the condition of small-sized samples. Accordingly, a fuzzy evaluation model was proposed to evaluate whether the performance of the bank APP can reach the required level, and this model was also regarded as a basis for decision-making to determine whether to improve the bank APP. At the same time, we can grasp the opportunities for improvement, achieve the effect of cost reduction, energy saving and carbon reduction, and further move towards the goal of innovative and intelligent management.

scholarly journals Evaluation and Improvement of Roundabouts in CBD Area at Al-Hilla City

2018 ◽  
Vol 26 (7) ◽  
pp. 72-86
Author(s):  
Abdul Kareem Naji Abbood ◽  
Aboothar Abdul Hussein Hamzah Al-Tufail
Keyword(s):  
Simulation Model ◽  
Rapid Growth ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Field Data ◽  
Simulation Software ◽  
Video Cameras ◽  
Calibration And Validation ◽  
Traffic Performance ◽  
Traffic Volumes

In the present-day, congestion considers one of the biggest problems experienced by urban areas. This congestion led to form the conflicting movements at intersections, merging, roundabouts, etc. The objective of this study is to investigate the traffic congestion problem at the two selected roundabouts at CBD area in Hilla city. Roundabouts consider safer than the conventional intersections, but it has less capacity than corresponding intersections. In Iraq, several roundabouts were built in the last decade to improve the traffic performance. However, most of these roundabouts are unable to accommodate the rapid growth in traffic volumes and suffer from a serious issue in congestion. Therefore, this study aims to evaluate these roundabouts. The VISSIM simulation software has been used to perform the evaluation analysis for these selected roundabouts. Then, field data have been collected by using two video cameras that installed by using a fabricated equipment. The process of collecting data has lasted for 8 hours at each roundabout. And then, this field data has been used to calibrate the simulation model (VISSIM). After making the required calibration and validation for the simulation model, the developed model was depended to perform the evaluation and find the suitable solution to solve the traffic congestion at these roundabouts.

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