An Evaluation Model for Traffic Guidance Measures of the Urban Central Commercial District and its Application

2012 ◽  
Vol 253-255 ◽  
pp. 1695-1699
Author(s):  
Miao Cui ◽  
Tie Xin Cheng ◽  
Jing Zhu Chen
Keyword(s):  
Traffic Flow ◽  
Evaluation Model ◽  
Heavy Traffic ◽  
Simulation Software ◽  
Left Turn ◽  
Traffic Jam ◽  
The Road ◽  
Dynamic Assignment ◽  
Assignment Model ◽  
Traffic Guidance

As the city’s economic and cultural center, the urban Central Commercial Districts (CCDs) are rapidly developing, which always brings the heavy traffic jam in the city. In this paper, the traffic flow of CCDs was analyzed, and the traffic flow guidance evaluation model was established. Firstly, according to the travel time function, traffic flow was allocated to the road network of the CCDs by the dynamic assignment model, and the heavy-traffic roads were identified. Then, traffic flow guidance measures mainly including forbidding straight, left turn, or right turn were given, and the evaluation model above was applied to select the optimal measure. Finally, with VISSIM simulation software, the model was applied to the Tianjin Binjiangdao CCD, which illustrated that the satisfied guidance measure can be selected effectively.

scholarly journals Optimization of Traffic Flow On KS Tubun Street using Greenberg Model

2019 ◽  
Vol 8 (2S7) ◽  
pp. 83-86
Keyword(s):  
Traffic Flow ◽  
Red Light ◽  
Green Light ◽  
Light Cycle ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
The Road ◽  
Road Users ◽  
Time Parameters

KS Tubun Street is a street in Bogor, which has a fairly high vehicle volume and become one of a high-traffic jam area. This is caused by KS Tubun Street is the main road for road users from Jakarta and Bogor. Traffic jam problem that occurs due to the confluence interchange of traffic flow and traffic lights settings that are not proportional to the volume of vehicles across the road. Optimization of traffic flow at KS Tubun Street performed by the stages of forming a model of traffic flow, determining the density and velocity of the vehicle is based on the Greenberg model, and determining the length of the traffic lights to avoid a buildup of vehicles. The result is a traffic flow model with distance and time parameters. The density of vehicles that occurs on the streets of KS. Tubun street based on the Greenberg model between 180 to 240 unit car of passanger (ucp) with the average velocity of vehicles 15 to 19.5 km per hour. The density of vehicles on KS. Tubun street can be break down by increasing time. Traffic light cycle time can be reduced for 8 seconds with the red light glowing time is 80 seconds and the green light glowing time is 62 seconds.

Organization of non-traffic jam traffic at an intersection when cycle time and roadway width are limited

2020 ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Traffic Management ◽  
Road Network ◽  
Traffic Light ◽  
Maximum Capacity ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Management System ◽  
Stop Line

In General, two problems need to be solved in the traffic management system: road safety and capacity. In this paper, it is proposed to use a calculated way to optimize the cycle of a traffic light object in order to ensure the maximum capacity of the node of the road network. The calculation method is based to determining the optimal ratio of the number of lanes intended for vehicle traffic and the duration of a cycle of the traffic light object. Keywords capacity, street and road network, traffic flow, stop line, width of the roadway

Evaluation Analysis and Optimization Design of Urban Road Traffic Condition Based on VISSIM

2011 ◽  
Vol 97-98 ◽  
pp. 531-534
Author(s):  
Xin Qiu ◽  
An Xia Zheng ◽  
Ying Zhu ◽  
Bin Xu
Keyword(s):  
Traffic Flow ◽  
Optimization Design ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Simulation Software ◽  
Traffic Condition ◽  
Urban Road ◽  
The Road ◽  
Road Congestion

Based on the survey of the traffic flow characteristics in the intersection, combined with the traffic flow basic principle and the existing research results at home and abroad, the road congestion condition is evaluated by determining the microcosmic evaluation index coefficient by VISSIM microcosmic simulation software. Then, the reasonable measures are put forward to improve urban road congestion condition. The analysis shows that the residents’ trip efficiency is improved and the quality of the urban road traffic condition is ameliorated.

Effects of Lanes Occupied on Urban Road Traffic Capacity

2014 ◽  
Vol 926-930 ◽  
pp. 3798-3801
Author(s):  
Zhi Wei Yang
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Flow Speed ◽  
Urban Traffic ◽  
Correction Coefficient ◽  
Dynamic Changes ◽  
Traffic Jam ◽  
The Road ◽  
Discharge Capacitance ◽  
Traffic Capacity

The article is research on the influence of urban lane occupied for the road traffic capacity. Under the condition that the density of urban traffic flow is big, and it‘s successional, we consider the quantity of vehicle is continuous. Through analyzing the dynamic changes of the road traffic capacity and its influencing factors after accidents, we can get reasonable suggestions of reducing the length of traffic jam. First we establish a flow-speed-density model to describe the dynamic changes of the road traffic capacity. Then we can compare the traffic flow to the electric current according to its continuity. So the upstream traffic flow and the traffic capacity of the accident cross section are equal to the charging current and the discharging current. And the vehicle queue is translated to the voltage of the charge-discharge capacitance. We can get the length of the vehicle queue by the formula of the capacitance voltage approximately. Finally the correction coefficient is introduced. In conclusion, the road traffic capacity is depended on the distance from the upstream intersection and the lane that the accident happened on and so on. Meanwhile, if we don’t solve the accident timely, the length will rise sharply. It will cause serious traffic jam. So we suggest relevant departments timely deal with the accident, evacuate the traffic, and prompt drivers to change lanes in advance.

scholarly journals Quantifying the phantom jam externality: the case of an Autobahn section in Germany

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Kathrin Goldmann ◽  
Gernot Sieg
Keyword(s):  
Traffic Flow ◽  
Traffic Demand ◽  
Traffic Jam ◽  
The Road ◽  
Traffic Jams ◽  
On The Road ◽  
High Road

AbstractIf not restricted by tolls, private decisions to drive on a highway result in inefficiently high usage which leads to traffic jams. When traffic demand is high, traffic jams can occur simply because of the interaction of vehicle drivers on the road, a phenomenon called phantom jam. The probability of phantom jams occurring increases with traffic flow. Unpriced externalities lead to inefficiently high road usage. We offer a method for quantifying traffic jam externalities and identifying and isolating the phantom jam externality. We examine the method by applying it to a specific highway section in Germany. The maximal congestion externality for the analyzed highway section is about 38 cents per vehicle and kilometer. Congestion charges that are calculated ignoring phantom jam externalities, can only internalize two-thirds of the true externality.

scholarly journals Analisis Kinerja Lalu Lintas Simpang Tak Bersinyal untuk Penentuan Tingkat Pelayanan di Jalan Klampis Jaya Surabaya

2021 ◽  
Vol 1 ◽  
pp. 180-184
Author(s):  
Dwi Prastya Nurcahaya ◽  
R Endro Wibisono
Keyword(s):  
Traffic Flow ◽  
Heavy Traffic ◽  
Working Hours ◽  
Service Level ◽  
Signalized Intersection ◽  
Degree Of Saturation ◽  
The Road ◽  
Road Capacity ◽  
Traffic Performance ◽  
Intersection Analysis

Klampis Jaya Road, Surabaya City, has a fairly heavy traffic flow, especially during working hours. This resulted in congestion on Klampis Jaya Road and not a few motorists who violated traffic regulations such as turning around Mleto Road. This study aimed to determine the current traffic flow performance and in 2024 at the intersection on Klampis Jaya Road, Surabaya City, predicted the traffic flow performance around the road and intersection on Klampis Jaya Road Surabaya City. The research method used was non-signalized intersection analysis using the Indonesian Road Capacity Manual. The calculation of the traffic performance of the four intersections in Klampis Jaya showed the Degree of Saturation (DS) and Service Level (TP) of each intersection. Traffic performance for the four intersections in 2021 was DS = 0.752 and TP = C (Enough), with the characteristics of stable traffic flow, was restricted movement. The traffic performance for the four intersections in 2024 was DS = 0.95 and TP = D (Less), with the characteristics of traffic flow stable movement being limited.

scholarly journals Demand Data Modelling for Microscopic Traffic Simulation

2018 ◽  
Vol 19 (4) ◽  
pp. 364-371
Author(s):  
Mihails Savrasovs ◽  
Irina Pticina ◽  
Valery Zemlyanikin ◽  
Ioannis Karakikes
Keyword(s):  
Traffic Flow ◽  
Traffic Simulation ◽  
Flow Simulation ◽  
Simulation Software ◽  
Transport Network ◽  
Data Modelling ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Dynamic Assignment ◽  
Traffic Flow Simulation

Abstract The current paper aim is to present the technique of demand data modelling for microscopic simulation of the traffic flows. Traffic microscopic simulation is a powerful decision supporting tool, which could be applied for a wide range of tasks. In a past microscopic traffic simulation was used to test local changes in transport infrastructure, but the growth of computers performance allows now to simulate wide-scale fragments of the traffic network and to apply more advanced traffic flow simulation approaches, like an example dynamic assignment (DA). The results, obtained in the frame of this research are part of the project completed for one of the shopping malls (Riga, Latvia). The goal of the project was to evaluate different development scenarios of the transport network to raise the accessibility of the shopping mall. The number of practical issues in the frame of this project pushed to develop a new technique to model the demand data for the simulation model. As a traffic flow simulation tool, the PTV VISSIM simulation software was applied. The developed model was based on dynamic assignment approach. To complete the simulation the demand data was represented in two forms: 1) OD matrix for regular traffic in the transport network; 2) trip-chain file for a description of the pass-by and targeted trips.

scholarly journals Pengaturan Lampu Lalu Lintas dengan Simulasi Monte Carlo Studi Kasus : Perempatan Daerah Dago � Bandung

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Iryanto Iryanto ◽  
Dinan Andiwijayakusuma
Keyword(s):  
Monte Carlo ◽  
Coupling Parameter ◽  
Heavy Traffic ◽  
Traffic Light ◽  
Traffic Condition ◽  
Rule Based ◽  
Main Road ◽  
Traffic Jam ◽  
The Road ◽  
Better Than

One of the areas that often become a source of traffic jam is road intersection. So it will be crucial to manage the intersection. Every intersection in main road is common to have traffic light and every cycle of the lamp, red, green and orange, will influence the traffic. The traffic cycle will have significant role to decrease or increase effects of the problem. Inappropriate regulation for the intersection can cause traffic jam or a heavy traffic jam in the road. Sometimes every intersection needs different rule based on the traffic condition. Therefore is truly needed to manage the traffic light in every intersection. With the simulation we can know whether the rule for the traffic light has appropriated to the intersection's traffic condition. If the rule is not optimal yet, we can change the rule with the optimal one. In the research, two methods are used, using coupling parameter and without coupling parameter. Average of vehicle Arrival in each intersection is used as coupling parameter. As its result, using coupling parameter is better than without using coupling parameter.

scholarly journals Road Pricing Effect on the Emission of Traffic Pollutants, a Case Study in Tehran

2016 ◽  
Vol 2 (7) ◽  
pp. 306-315 ◽  
Author(s):  
Mansour Hadji Hosseinlou ◽  
Abbas Zolfaghari ◽  
Mahdi Yazdanpanah
Keyword(s):  
Fuel Consumption ◽  
Traffic Flow ◽  
Traffic Management ◽  
Stated Preference ◽  
Road Pricing ◽  
Simulation Software ◽  
Emission Rates ◽  
The Road ◽  
Fuel Consumption Rate ◽  
The Impact

Road pricing is one of the main purposes of traffic management policies in order to reduce personal car use. Understanding the behaviour of drivers under the impact of the road pricing policy, can assist transportation planners in making better and more efficient decisions. This research aims at investigating the reactions of private car users to road pricing using stated preference (SP) method on the one hand, and on the other hand, studies the road pricing effect on traffic flow and pollutants. To this aim, the acceptance rate of pricing, which is obtained from modeling of survey data, as well as real traffic flow data in Shahid Hemmat Highway in Tehran, Iran, are applied as the simulation software input. Based on the results of this research, at the lowest price (TN11000), the contribution of toll acceptance is equal to 64/91 percent. The fuel consumption rate at this price decreases to 49/91% and the emission rate of CO2, NOx, particle material (PM) and volatile organic compounds (VOCs) pollutants decrease to 56.82%, 49.46%, 36.8% and 63.17%, respectively. At the highest price (TN10000), toll acceptability, fuel consumption, CO2, NOx, PM and VOC emission rates decrease to 5.47%, 3.57%, 3.98%, 2.85%, 1.22% and 4.86%, respectively.

scholarly journals A Traffic Flow Prediction Method Based on Road Crossing Vector Coding and a Bidirectional Recursive Neural Network

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1006 ◽  
Author(s):  
Zhao ◽  
Zhao ◽  
Bai ◽  
Li
Keyword(s):  
Neural Network ◽  
Traffic Flow ◽  
Prediction Method ◽  
The Road ◽  
Traffic Flow Prediction ◽  
Vector Coding ◽  
Road Intersections ◽  
Spatio Temporal ◽  
Traffic Guidance ◽  
And Control

Aiming at the problems that current predicting models are incapable of extracting the inner rule of the traffic flow sequence in traffic big data, and unable to make full use of the spatio-temporal relationship of the traffic flow to improve the accuracy of prediction, a Bi-directional Regression Neural Network (BRNN) is proposed in this paper, which can fully apply the context information of road intersections both in the past and the future to predict the traffic volume, and further to make up the deficiency that the current models can only predict the next-moment output according to the time series information in the previous moment. Meanwhile, a vectorized code to screen out the intersections related to the predicting point in the road network and to train and predict through inputting the track data of the selected intersections into BRNN, is designed. In addition, the model is testified through the true traffic data in partial area of Shen Zhen. The results indicate that, compared with current traffic predicting models, the model in this paper is capable of providing the necessary evidence for traffic guidance and control due to its excellent performance in extracting the spatio-temporal feature of the traffic flow series, which can enhance the accuracy by 16.298% on average.

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