scholarly journals STUDY ON HETEROGENEOUS TRAFFIC FLOW CHARACTERISTICS OF A TWO-LANE ROAD / HETEROGENINIO TRANSPORTO EISMO SRAUTO CHARAKTERISTIKOS DVIEJŲ JUOSTŲ KELYJE / ХАРАКТЕРИСТИКИ ГЕТЕРОГЕННОГО ПОТОКА ДВИЖЕНИЯ НА ДВУХПОЛОСНОЙ ДОРОГЕ

Transport ◽  
2011 ◽  
Vol 26 (2) ◽  
pp. 185-196 ◽  
Author(s):  
Nitish Sharma ◽  
Shriniwas Shrikant Arkatkar ◽  
Ashoke Kumar Sarkar
Keyword(s):  
Traffic Flow ◽  
Exploratory Study ◽  
Flow Characteristics ◽  
Heterogeneous Traffic ◽  
Data Traffic ◽  
Traffic Characteristics ◽  
Flow Parameters ◽  
Traffic Flow Characteristics

The paper presents traffic studies conducted by using a video capturing technique on the uninterrupted heterogeneous mix of vehicles plying on an undivided two-lane road facility. On the basis of the collected data, traffic characteristics pertaining to arrival, headway and speed distributions have been plotted considering suitable mathematical distributions to fit field observed values. The curves representing fundamental traffic flow relationships among three basic variables, namely speed, density and flow have also been established. Thus, a systematic attempt to enable the understanding of heterogeneous traffic flow parameters has been made through this exploratory study. Santrauka Remiantis vaizdo technika gautais duomenimis, straipsnyje tyrinėjami nenutrūkstami įvairių transporto priemonių srautai dviejų juostų vientisame kelyje. Darbe pateikiamas eismo srauto charakteristikų, susijusių su atvykimu, judėjimu į priekį ir greičio pasiskirstymu, planas, atsižvelgiant į tinkamą matematinį planavimą, sėkmingai derinamą su jau stebėtomis reikšmėmis. Pateiktos fundamentalios transporto eismo srauto grafinės priklausomybės nuo trijų pagrindinių kintamųjų – greičio, tankio ir srauto. Sistemingas tyrimas leidžia geriau suprasti heterogeninio (įvairiarūšio) transporto eismo srauto parametrus. Резюме Исследуется непрерывное движение различных транспортных средств в потоке на двухполосной дороге с использованием данных, полученных с помощью видеотехники. Представлен план характери стик потока движения с учетом прибытия, движения вперед и распределения скорости. Математический эксперимент удачно сочетается с уже имеющимися значениями. Представлены фундаментальные графические зависимости потока движения от трех основных переменных – скорости, плотности и потока. Системное исследование позволит лучше понять параметры гетерогенного потока движения транспорта.

scholarly journals Semi-Continuous Spatial Statistical Analysis Using AIS Data for Vessel Traffic Flow Characteristics in Fairway

2021 ◽  
Vol 9 (4) ◽  
pp. 378
Author(s):  
Jong Kwan Kim
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Automatic Identification ◽  
Identification System ◽  
Spatial Statistical Analysis ◽  
Traffic Characteristics ◽  
Traffic Distribution ◽  
Traffic Flow Characteristics ◽  
Marine Accidents

As high vessel traffic in fairways is likely to cause frequent marine accidents, understanding vessel traffic flow characteristics is necessary to prevent marine accidents in fairways. Therefore, this study conducted semi-continuous spatial statistical analysis tests (the normal distribution test, kurtosis test and skewness test) to understand vessel traffic flow characteristics. First, a vessel traffic survey was conducted in a designated area (Busan North Port) for seven days. The data were collected using an automatic identification system and subsequently converted using semi-continuous processing methods. Thereafter, the converted data were used to conduct three methods of spatial statistical analysis. The analysis results revealed the vessel traffic distribution and its characteristics, such as the degree of use and lateral positioning on the fairway based on the size of the vessel. In addition, the generalization of the results of this study along with that of further studies will aid in deriving the traffic characteristics of vessels on the fairway. Moreover, these characteristics will reduce maritime accidents on the fairway, in addition to establishing the foundation for research on autonomous ships.

scholarly journals Capacity Estimation of Multilane Highways under Heterogeneous Traffic Conditions using Micro-Simulation Technique

2020 ◽  
Vol 12 (01) ◽  
pp. 20-25
Author(s):  
Tanumoy Ghosh ◽  
Sudip Kumar Roy ◽  
Subhamay Gangopadhyay
Keyword(s):  
Simulation Model ◽  
Traffic Flow ◽  
Flow Characteristics ◽  
Simulation Models ◽  
Heterogeneous Traffic ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Geometric Conditions ◽  
Micro Simulation ◽  
Traffic Flow Characteristics

The behavior of a driver of any vehicle is important in estimating heterogeneous traffic conditions with no strict lane discipline. In the present study, a micro-simulation model is used to analyze the mixed traffic condition with different drivers’ behavior parameters. The field data collected on traffic flow characteristics of multilane highways are used in the calibration and validation of the simulation model. Out of the ten coefficient of correlation (CC) parameters in the simulation model, five are used in the present study to make a model of simulation for heterogeneous traffic; the other five parameters are not considered for testing their influence on simulated capacity values as they represent very typical behavior of a driver, either in car-following, or in free-flow conditions. Two separate simulation models are made by changing the CC (CC0, CC1, CC2, CC7, and CC8) parameters, each for a four-lane divided and a six-lane divided highway as the geometric conditions of the roads and the traffic flow is different for both the cases. These models are then applied on two other sections of a four-lane divided and a six-lane divided highway to validate the parameters of the model developed earlier for other sections.

scholarly journals Left-Side On-Ramp Metering for Improving Safety and Efficiency in Underground Expressway Systems

2019 ◽  
Vol 11 (12) ◽  
pp. 3247 ◽  
Author(s):  
Minhua Shao ◽  
Congcong Xie ◽  
Lijun Sun ◽  
Xiaomin Wan ◽  
Zhang Chen
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Traffic Control ◽  
Flow Characteristics ◽  
Ramp Metering ◽  
Accident Risk ◽  
Data Traffic ◽  
Traffic Efficiency ◽  
Traffic Characteristics ◽  
Two Parameter

As one of the effective measures of intelligent traffic control, on-ramp metering is often used to improve the traffic efficiency of expressways. Existing on-ramp metering research mainly discusses expressways with right-side on-ramps. However, for underground expressway systems (UESs), left-side on-ramps are frequently adopted to reduce the ground space occupied by ramp construction. Since traffic entering from the left and right sides of the mainline may have different traffic characteristics, on-ramp metering for UESs with left-side on-ramps should be explored specifically. This study examines the impacts of left-side on-ramps on the traffic safety and efficiency of UESs and proposes an effective on-ramp metering strategy. Firstly, using field data, traffic flow fundamental diagrams and speed dispersion are discussed to explore the traffic flow characteristics of the “left-in” UES. The results show that the capacity and critical occupancy are both reduced in left-side on-ramp compared to right-side on-ramp expressways. Meanwhile, the speed dispersion is higher in left-side on-ramp UESs, which means a higher accident risk. Based on this, considering traffic safety and efficiency, a novel two-parameter left-side on-ramp metering strategy for UESs is proposed, in which occupancy and speed are used as the control indicators simultaneously. Additionally, the mechanism of the metering strategy is explained. Finally, the proposed on-ramp metering strategy is simulated on a real UES. The results demonstrate the advantages of the proposed two-parameter on-ramp metering strategy for improving the traffic safety and efficiency of UESs.

Study on Vehicle’s Arrival Rule and Relation between Traffic Flow Parameters on Snowy Pavement

2012 ◽  
Vol 446-449 ◽  
pp. 2528-2531
Author(s):  
Li Xin Wu ◽  
Guo Zhu Cheng
Keyword(s):  
Traffic Flow ◽  
Flow Characteristics ◽  
Traffic Volume ◽  
Flow Parameters ◽  
Traffic Flow Characteristics ◽  
Binominal Distribution

There are great difference in traffic flow characteristics between snowy pavement and non-snowy pavement. Ten road sections were investigated and the data of traffic volume, headway, speed and density on snowy and non-snowy pavement were collected. Vehicle’s arrival rules were compared and reasonable distribution was given. The relation between traffic volume and speed, density and traffic volume were compared between snowy pavement and non-snowy pavement. It indicated that negative binominal distribution is more fit to vehicle’s arrival frequency on snowy pavement. Speed decreases for the same traffic volume and traffic volume decreases for the same density on snowy pavement.

scholarly journals Impacts of Autonomous Vehicles on Traffic Flow Characteristics under Mixed Traffic Environment: Future Perspectives

2021 ◽  
Vol 13 (19) ◽  
pp. 11052
Author(s):  
Mohammed Al-Turki ◽  
Nedal T. Ratrout ◽  
Syed Masiur Rahman ◽  
Imran Reza
Keyword(s):  
Traffic Flow ◽  
Autonomous Vehicles ◽  
Penetration Rate ◽  
Flow Characteristics ◽  
Driving Behavior ◽  
Mixed Traffic ◽  
Traffic Characteristics ◽  
Traffic Environment ◽  
Traffic Flow Characteristics ◽  
The Impact

Vehicle automation and communication technologies are considered promising approaches to improve operational driving behavior. The expected gradual implementation of autonomous vehicles (AVs) shortly will cause unique impacts on the traffic flow characteristics. This paper focuses on reviewing the expected impacts under a mixed traffic environment of AVs and regular vehicles (RVs) considering different AV characteristics. The paper includes a policy implication discussion for possible actual future practice and research interests. The AV implementation has positive impacts on the traffic flow, such as improved traffic capacity and stability. However, the impact depends on the factors including penetration rate of the AVs, characteristics, and operational settings of the AVs, traffic volume level, and human driving behavior. The critical penetration rate, which has a high potential to improve traffic characteristics, was higher than 40%. AV’s intelligent control of operational driving is a function of its operational settings, mainly car-following modeling. Different adjustments of these settings may improve some traffic flow parameters and may deteriorate others. The position and distribution of AVs and the type of their leading or following vehicles may play a role in maximizing their impacts.

scholarly journals Traffic Flow Characteristics and Lane Use Strategies for Connected and Automated Vehicles in Mixed Traffic Conditions

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Zijia Zhong ◽  
Joyoung Lee ◽  
Liuhui Zhao
Keyword(s):  
Traffic Flow ◽  
Flow Characteristics ◽  
Heterogeneous Traffic ◽  
Flow Diagram ◽  
Stable Region ◽  
Market Penetration ◽  
Automated Vehicles ◽  
Shape Distribution ◽  
Headway Distribution ◽  
Traffic Flow Characteristics

Managed lanes, such as a dedicated lane for connected and automated vehicles (CAVs), can provide not only technological accommodation but also desired market incentives for road users to adopt CAVs in the near future. In this paper, we investigate traffic flow characteristics with two configurations of the managed lane across different market penetration rates and quantify the benefits from the perspectives of lane-level headway distribution, fuel consumption, communication density, and overall network performance. The results highlight the benefits of implementing managed lane strategies for CAVs: (1) A dedicated CAV lane significantly extends the stable region of the speed-flow diagram and yields a greater road capacity. As the result shows, the highest flow rate is 3400 vehicles per hour per lane at 90% market penetration rate with one CAV lane. (2) The concentration of CAVs in one lane results in a narrower headway distribution (with smaller standard deviation) even with partial market penetration. (3) A dedicated CAV lane is also able to eliminate duel-bell-shape distribution that is caused by the heterogeneous traffic flow. (4) A dedicated CAV lane creates a more consistent CAV density, which facilitates communication activity and decreases the probability of packet dropping.

Dynamic characteristics of traffic flow with consideration of crossing pedestrians’ behavior at a nonsignalized T-shaped intersection

2017 ◽  
Vol 28 (11) ◽  
pp. 1750134 ◽  
Author(s):  
H. Echab ◽  
H. Ez-Zahraouy
Keyword(s):  
Traffic Flow ◽  
Flow Characteristics ◽  
Vehicular Traffic ◽  
Density Profiles ◽  
Cellular Automata Model ◽  
Yield Line ◽  
Traffic Characteristics ◽  
Vehicular Traffic Flow ◽  
Principal Finding ◽  
Traffic Flow Characteristics

In this paper, we present a cellular automata model to depict the traffic characteristics at such a nonsignalized [Formula: see text]-shaped intersection in the presence of pedestrian crossings. The vehicular traffic flow characteristics with different parameters are studied. Throughput, phase diagrams, space-time and density profiles are built to point various traffic states and the phase transition features. The principal finding of the simulation are as follows: (1) The presence of crossing pedestrians has a significant influence on the vehicular traffic and the system performance, (2) The intersection capacity has a close relevance with the state of the weaving section. The smaller the interactions are at the weaving section, the higher the capacity and (3) In order to have a higher system ability, the crosswalk location should not be far from the yield line of the weaving section.

scholarly journals MODELLING HETEROGENEOUS TRAFFIC FLOW ON UPGRADES OF INTERCITY ROADS

Transport ◽  
2010 ◽  
Vol 25 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Venkatachalam Thamizh Arasan ◽  
Shriniwas Shrikant Arkatkar
Keyword(s):  
Computer Simulation ◽  
Traffic Flow ◽  
Road Traffic ◽  
Flow Characteristics ◽  
Heterogeneous Traffic ◽  
Effective Technique ◽  
Acceleration Rate ◽  
Traffic Flow Characteristics ◽  
And Performance ◽  
Engine Power

The effect of an upgrade and its length is very significant for traffic flow characteristics. Road traffic in developing countries like India is highly heterogeneous comprising vehicles of wide ranging physical dimensions, weight and dynamic characteristics such as engine power, acceleration rate, etc. Due to these variations, the effect of grade on vehicles in heterogeneous traffic may vary significantly among vehicle categories. Variation in the level of the interaction between vehicles on upgrades may result in different sets of traffic flow characteristics. Hence, it is necessary to model traffic flow on upgrades and study, in depth, changes in traffic flow characteristics with alteration in the magnitude of an upgrade and its length. Computer simulation has emerged as an effective technique for modelling traffic flow due to its capability to account for randomness related to traffic. This study is concerned with applying a simulation model of heterogeneous traffic flow, named HETEROSIM, to study the traffic flow characteristics and performance of different vehicle types on upgrades of different magnitudes.

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