scholarly journals Capacity increasing of arterial streets with controlled motion

2021 ◽  
Vol 2021 (1) ◽  
pp. 25-38
Author(s):  
Oleh Hrytsun ◽  
◽  
Romana Bura ◽  
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
High Volume ◽  
Average Speed ◽  
Arterial Streets ◽  
Flow Acceleration ◽  
Capacity Ratio ◽  
Medium Length ◽  
Controlled Motion ◽  
On The Road

The problem of capacity increasing of arterial streets with controlled motion is investigated in this paper. For investigation, sections between intersections on the road network of Lviv city were chosen at their different length and roadway width with most saturated traffic. Methods of capacity increasing of arterial streets with controlled motion and factors that have impact on the capacity reduction are analyzed. Capacity of intersections at different volume-capacity ratios is determined. The distribution of average speed for sections between intersections of different length is built. It is established that on sections of medium length between signalized intersections and the high volume-capacity ratio, the speed of traffic flow does not reach maximum values. It is possible to increase the speed and the capacity of sections between intersections by increasing their length, sufficient for flow acceleration to the maximal constant speed and further braking before the intersection. To determinate the recommended speed of movement on arterial directions, road conditions are taken into account, which are formed with simultaneous impact of several factors: volume-capacity ratio of intersection in braking zone, volume-capacity ratio of intersection in acceleration zone, the number of lanes, the length of the section between intersections and the average speed of the traffic flow. It is determined that the average speed of traffic flow on short sections between intersections (the length less than 300 m) is 27 – 33 km/h, on sections of medium length – 35 – 38 km/h/ Such speed will allow to traffic flow reaching the line of constant movement in given road conditions. Conducted research allows taking into account road traffic conditions while justifying the calculating speed of traffic flow, in result of which capacity of arterial streets of controlled motion increases.

scholarly journals Impact of Automated Truck Platooning on the Performance of Freeway Mixed Traffic Flow

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Seolyoung Lee ◽  
Cheol Oh ◽  
Gunwoo Lee
Keyword(s):  
Traffic Flow ◽  
Energy Savings ◽  
Automated Driving ◽  
Average Speed ◽  
The Road ◽  
Mobility Performance ◽  
Vehicle Platooning ◽  
Negative Effect ◽  
The Difference ◽  
On The Road

Vehicle platooning service through wireless communication and automated driving technology has become a reality. Vehicle platooning means that several vehicles travel like a train on the road with a minimum safety distance, which leads to the enhancement of safety, mobility, and energy savings. This study proposed a framework for exploring traffic mobility and safety performance due to the market penetration rate (MPR) of truck platoons based on microscopic traffic simulations. A platoon formation algorithm was developed and run on the VISSIM platform to simulate automated truck maneuvering. As a result of the mobility analysis, it was found that the difference in network mobility performance was not significant up to MPR 80%. Regarding the mobility performance of the truck-designated lane, it was found that the average speed was lower than in other lanes. In the truck-designated lane of the on-ramp section, the average speed was identified to be approximately 33% lower. From the viewpoint of network safety, increasing the MPR of the truck platoon has a positive effect on longitudinal safety but has a negative effect on lateral safety. The safety analysis of the truck-designated lane indicated that the speed difference by lane of MPR 100% is 2.5 times higher than that of MPR 0%. This study is meaningful in that it explores traffic flow performance on mobility and safety in the process of platoon formation. The outcomes of this study are expected to be utilized as fundamentals to support the novel traffic operation strategy in platooning environments.

scholarly journals Evaluation of the basic characteristics of the traffic flow by mathematical analysis

2021 ◽  
Author(s):  
Kristián Čulík ◽  
Veronika Harantová ◽  
Alica Kalašová
Keyword(s):  
Traffic Flow ◽  
Mathematical Analysis ◽  
Road Traffic ◽  
Human Life ◽  
Flow Characteristics ◽  
The Road ◽  
Moving Vehicles ◽  
Traffic Flow Characteristics ◽  
On The Road ◽  
Basic Characteristics

Today, traffic is an integral part of every active human life. People prefer individual car transport to public transport. This fact increases the number of cars on the roads. This article focuses on the basic characteristics between moving vehicles on the road, traffic flow characteristics - intensity, speed and density. Their values are obtained from traffic survey and radar Sierzega. In addition, a simulation was made from the measured values and the basic characteristics of the traffic flow were evaluated using mathematical statistics

scholarly journals Assessment of the noise level on arterial streets depending on traffic flow indicators

2021 ◽  
Vol 2021 (2) ◽  
pp. 52-63
Author(s):  
Oleg Mironyuk ◽  
Keyword(s):  
Traffic Flow ◽  
Public Transport ◽  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Traffic Flows ◽  
Residential Areas ◽  
Protection Measures ◽  
Arterial Streets ◽  
On The Road

The intensity of traffic flows increases every year and intensifies its impact significantly on urban territory's ecologic situation and natural environment. In Ukrainian cities, the growth of noise pollution is quite a topical problem as it has a significant impact on the environment because of the increase in car numbers. Traffic flow intensity and densification of the built-up area cause the increase of the noise level. As analytical methods of calculation of determination of traffic noise level have several disadvantages, then for assessing the level of noise on arterial streets of Lviv city, research is carried out with consideration of traffic flow indicators. One of the critical criteria that have an impact on noise pollution in the urban environment is traffic flow composition. Conducted research indicates that the speed of traffic flow creates significant noise pollution, especially on those streets where cobblestone is a road pavement. Freight and passenger transport that moves along arterial streets causes the increase of noise level and increases its impact on the city territory. On sections of arterial streets in peak periods of the day with high values of volume-capacity ratio and general share of freight and public transport of more than 30% in a flow, the noise exceeds the acceptable norms and has a harmful impact on the environment. That is why it is necessary to assess noise pollution and the development of protection measures from noise during the planning and construction of some urban regions or residential areas. It is established that to lower the noise level on streets, it is necessary to consider existing intersections of arterial streets and the regime of movement on them. To lower transport noise, it is necessary to distribute freight and transit transport by city streets more rationally, use qualitative public transport, and limit the maximal speed regime on city streets. Further research on the road network will provide an opportunity to assess the noise level distribution of traffic flows in Lviv city. It will help to determine the problem places and propose methods of combating traffic noise.

Improving the system of road safety indicators in the analysis of the quality of motor vehicle transportation

2021 ◽  
pp. 85-98
Author(s):  
O. V. Mayboroda ◽  
◽  
B. A. Sarymsakov ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Road Traffic ◽  
Road Accident ◽  
Social Risk ◽  
Road Accidents ◽  
Average Speed ◽  
Safety Coefficient ◽  
The Road ◽  
Probability Of Death

The article presents the results of the development of an integral indicator of road safety - the road safety coefficient. The value of the road safety coefficient shows how many times, at the same levels of motorization, the risk of death of a resident in road traffic (social risk) decreased/increased in comparison with the average social risk that existed in the world in the 40s of the last century, when there were no special programs on improving road safety. The use of the road safety coefficient allows you to compare the level of road safety in countries and regions with different populations and different levels of motorization. It is shown that social risk is a complex indicator, the value of which depends on the indicators of road safety at a lower level - the probability of participation of a resident in road traffic, which is equal to the value of motorization, the probability of death of a road user (transport risk), the probability of a road accident (active road safety), the intensity of road accidents (reliability of driving) and the average annual mileage of the car, the probability of death in a road accident (passive and post-accident safety). An equation is obtained that relates the value of social risk to the values of lower-level road safety indicators. The analysis of the level of road safety in Kyrgyzstan is carried out. It is shown how the condition of the traffic flow affects its average speed and the probability of road accidents. The influence of traffic flow density on its average speed and intensity of road accidents is considered. To assess the impact of the condition of a traffic flow on its average speed and road safety, the concept of the conventional density of a traffic flow is used. It is revealed that in the road conditions of Kyrgyzstan there is a critical conventional density, when exceeding it the transport risk, the probability of a road accident and the probability of death in a road accident begin to decrease rapidly with a further increase in the conventional density. The low efficiency of detection of exceeding a permitted speed when measuring the maximum speed of cars at certain points is shown. It is proposed to use the measurement of average speed on certain road sections as a means of reducing the number of drivers exceeding the speed limit.

scholarly journals Analytical model assessing the effect of increased traffic flow intensities on the road administration, maintenance and lifetime

2019 ◽  
Vol 9 (1) ◽  
pp. 359-366
Author(s):  
Jiří Hanzl
Keyword(s):  
Traffic Flow ◽  
Analytical Model ◽  
Road Traffic ◽  
The Other ◽  
Road Maintenance ◽  
Maintenance And Repair ◽  
The Road ◽  
On The Road ◽  
The One ◽  
Final Calculation

AbstractThe aim of this paper is to introduce the reader to the construction of an analytical model assessing the effect of increased traffic intensities on extraordinary road traffic events on the amount of expenditures that the road administrators are forced to spend on the extra maintenance and reshaping these alternative diversion routes into the initial technical conditions. The computational mechanism of this model is based on the one hand on parameters of diversion routes temporarily transferring increased traffic intensities (e.g. motorway traffic at closure), on the other hand on approved cost databases for the assessment of road constructions and other regulations concerning the design of road maintenance and repair. In the final part of the paper the applicability of this model in practice is assessed and some negatives that are not included in the final calculation when determining the total costs of the road administrator are mentioned.

scholarly journals Real-time monitoring of traffic parameters

2020 ◽  
Author(s):  
Kirill Hazukov ◽  
Vladimir Shepelev ◽  
Tatiana Carpeta ◽  
Salavat Shabiev ◽  
Ivan Slobodin ◽  
...  
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Traffic Flow ◽  
Network Architecture ◽  
Road Traffic ◽  
Quality Data ◽  
Transport Systems ◽  
Source Image ◽  
Vehicle Speed ◽  
On The Road

Abstract This study deals with the problem of rea-time obtaining quality data on the road traffic parameters based on the surveillance camera data. The purpose of the paper is to develop a system to collect data on the traffic flow structure and to determine the traffic flow speed and direction in real-time. Our solution is based on the use of the YOLOv3 neural network architecture and open-source tracker SORT. To increase the accuracy of detection and classification, we used multi-scale prediction with an increased number of anchors. To determine the speed, we used a matrix of the perspective transformation of the source image to geographical coordinates. To train the neural network, we marked over 6,000 images and performed augmentation, which allowed us to increase the dataset to 60,000 images. Checking the system at night and in the day showed an absolute percentage accuracy of counting vehicles of no less than 92%. The error in determining the vehicle speed by the projection method, taking into account the camera calibration, did not exceed 2.74 m/s. The presented study allows us to generate big data for the intelligent transport systems decision-making system in real-time and to lower the requirements for peripheral equipment.

A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks

2017 ◽  
Vol 7 (11) ◽  
pp. 121
Author(s):  
Amolkirat Singh ◽  
Guneet Saini
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Traditional Approach ◽  
Unexpected Events ◽  
The Road ◽  
On The Road

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.

The Analysis of Urban Road Traffic State Based on Kinds Floating Car Data

2014 ◽  
Vol 694 ◽  
pp. 80-84
Author(s):  
Xiao Tong Yin ◽  
Chao Qun Ma ◽  
Liang Peng Qu
Keyword(s):  
Road Traffic ◽  
Velocity Estimation ◽  
Least Square ◽  
Single Type ◽  
Estimation Model ◽  
Average Speed ◽  
Urban Road ◽  
Traffic State ◽  
Floating Car Data ◽  
Different Types

The analysis of the unban road traffic state based on kinds of floating car data, is based on the model and algorithm of floating car data preprocessing and map matching, etc. Firstly, according to the characteristics of the different types of urban road, the urban road section division has been carried on the elaboration and optimization. And this paper introduces the method of calculating the section average speed with single floating car data, also applies the dynamic consolidation of sections to estimate the section average velocity.Then the minimum sample size of floating car data is studied, and section average velocity estimation model based on single type of floating car data in the different case of floating car data sample sizes has been built. Finally, the section average speed of floating car in different types is fitted to the section average car speed by the least square method, using section average speed as the judgment standard, the grade division standard of urban road traffic state is established to obtain the information of road traffic state.

scholarly journals Traffic Inequality and Relations in Maritime Silk Road: A Network Flow Analysis

2021 ◽  
Vol 10 (1) ◽  
pp. 40
Author(s):  
Naixia Mou ◽  
Haonan Ren ◽  
Yunhao Zheng ◽  
Jinhai Chen ◽  
Jiqiang Niu ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Network Flow ◽  
Road Traffic ◽  
Flow Analysis ◽  
Silk Road ◽  
Identification System ◽  
Traffic Network ◽  
Trajectory Data ◽  
Maritime Traffic ◽  
Maritime Silk Road

Maritime traffic can reflect the diverse and complex relations between countries and regions, such as economic trade and geopolitics. Based on the AIS (Automatic Identification System) trajectory data of ships, this study constructs the Maritime Silk Road traffic network. In this study, we used a complex network theory along with social network analysis and network flow analysis to analyze the spatial distribution characteristics of maritime traffic flow of the Maritime Silk Road; further, we empirically demonstrate the traffic inequality in the route. On this basis, we explore the role of the country in the maritime traffic system and the resulting traffic relations. There are three main results of this study. (1) The inequality in the maritime traffic of the Maritime Silk Road has led to obvious regional differences. Europe, west Asia, northeast Asia, and southeast Asia are the dominant regions of the Maritime Silk Road. (2) Different countries play different maritime traffic roles. Italy, Singapore, and China are the core countries in the maritime traffic network of the Maritime Silk Road; Greece, Turkey, Cyprus, Lebanon, and Israel have built a structure of maritime traffic flow in the eastern Mediterranean Sea, and Saudi Arabia serves as a bridge for maritime trade between Asia and Europe. (3) The maritime traffic relations show the characteristics of regionalization; countries in west Asia and the European Mediterranean region are clearly polarized, and competition–synergy relations have become the main form of maritime traffic relations among the countries in the dominant regions. Our results can provide a scientific reference for the coordinated development of regional shipping, improvement of maritime competition, cooperation strategies for countries, and adjustments in the organizational structure of ports along the Maritime Silk Road.

scholarly journals Exploring the Distribution of Traffic Flow for Shared Human and Autonomous Vehicle Roads

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3425
Author(s):  
Huanping Li ◽  
Jian Wang ◽  
Guopeng Bai ◽  
Xiaowei Hu
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Flow Model ◽  
Road Traffic ◽  
Autonomous Vehicle ◽  
Transformation Model ◽  
Hydrodynamic Theory ◽  
Traffic Flow Model ◽  
Traffic System ◽  
The Stability

In order to explore the changes that autonomous vehicles would bring to the current traffic system, we analyze the car-following behavior of different traffic scenarios based on an anti-collision theory and establish a traffic flow model with an arbitrary proportion (p) of autonomous vehicles. Using calculus and difference methods, a speed transformation model is established which could make the autonomous/human-driven vehicles maintain synchronized speed changes. Based on multi-hydrodynamic theory, a mixed traffic flow model capable of numerical calculation is established to predict the changes in traffic flow under different proportions of autonomous vehicles, then obtain the redistribution characteristics of traffic flow. Results show that the reaction time of autonomous vehicles has a decisive influence on traffic capacity; the q-k curve for mixed human/autonomous traffic remains in the region between the q-k curves for 100% human and 100% autonomous traffic; the participation of autonomous vehicles won’t bring essential changes to road traffic parameters; the speed-following transformation model minimizes the safety distance and provides a reference for the bottom program design of autonomous vehicles. In general, the research could not only optimize the stability of transportation system operation but also save road resources.

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