Log in

Relevant bibliographies by topics / Traffic flow Traffic engineering / Journal articles

To see the other types of publications on this topic, follow the link: Traffic flow Traffic engineering.

Journal articles on the topic 'Traffic flow Traffic engineering'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Traffic flow Traffic engineering.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Milius, Susan. "Ant Traffic Flow." Science News 162, no. 25/26 (2002): 388. http://dx.doi.org/10.2307/4013963.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Zhang, H. M., and W. L. Jin. "Kinematic Wave Traffic Flow Model for Mixed Traffic." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 197–204. http://dx.doi.org/10.3141/1802-22.

Full text

Abstract:

The Lighthill-Whitham-Richards kinematic wave traffic flow model was extended to describe traffic with different types of vehicles, in which all types of vehicles are completely mixed and travel at the same group velocity. A study of such a model with two vehicle classes (e.g., passenger cars and trucks) showed that when both classes of traffic have identical freeflow speeds, the model (a) satisfies the first-in-first-out rule, (b) is anisotropic, and (c) has the usual shock and expansion waves and a family of contact waves. Different compositions of vehicle classes in this model propagate along contact waves. Such models can be used to study traffic evolution on long crowded highways where low-performance vehicles entrap high-performance ones.

APA, Harvard, Vancouver, ISO, and other styles

3

KAMIYAMA, Noriaki, Yousuke TAKAHASHI, Keisuke ISHIBASHI, et al. "Effective Flow Aggregation for Traffic Engineering." IEICE Transactions on Communications E98.B, no. 10 (2015): 2049–59. http://dx.doi.org/10.1587/transcom.e98.b.2049.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Junevičius, Raimundas, and Marijonas Bogdevičius. "DETERMINATION OF TRAFFIC FLOW PARAMETERS IN DIFFERENT TRAFFIC FLOW INTERACTION CASES." TRANSPORT 22, no. 3 (2007): 236–39. http://dx.doi.org/10.3846/16484142.2007.9638131.

Full text

Abstract:

Modelling of straight road section consisting of one traffic line gives the opportunity to simulate “follow the car” system. In general it looks like a line of vehicles, going one after another. Kinetic theory, used in this paper describes traffic flow system as a straight unbroken line with limited flow speed and concentration. Such model also gives the opportunity to derive traffic lines intersections. For example, intersection could be derived like a point with traffic lines coming and outgoing from this point by only changing boundary conditions. Mathematical model is built using characteristic method.

APA, Harvard, Vancouver, ISO, and other styles

5

Maze, Thomas H., Manish Agarwal, and Garrett Burchett. "Whether Weather Matters to Traffic Demand, Traffic Safety, and Traffic Operations and Flow." Transportation Research Record: Journal of the Transportation Research Board 1948, no. 1 (2006): 170–76. http://dx.doi.org/10.1177/0361198106194800119.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Zefreh, Mohammad Maghrour, and Ádám Török. "DISTRIBUTION OF TRAFFIC SPEED IN DIFFERENT TRAFFIC CONDITIONS: AN EMPIRICAL STUDY IN BUDAPEST." Transport 35, no. 1 (2020): 68–86. http://dx.doi.org/10.3846/transport.2019.11725.

Full text

Abstract:

Fundamental diagram, a graphical representation of the relationship among traffic flow, speed, and density, has been the foundation of traffic flow theory and transportation engineering for many years. Underlying a fundamental diagram is the relation between traffic speed and density, which serves as the basis to understand system dynamics. Empirical observations of the traffic speed versus traffic density show a wide-scattering of traffic speeds over a certain level of density, which would form a speed distribution over a certain level of density. The main aim of the current research is to study on the distribution of traffic speed in different traffic conditions in the urban roads since the distribution of traffic speed is necessary for many traffic engineering applications including generating traffic in micro-simulation systems. To do so, the traffic stream is videotaped at various locations in the city of Budapest (Hungary). The recorded videos were analysed by traffic engineering experts and different traffic conditions were extracted from these recorded videos based on the predefined scenarios. Then their relevant speeds in that time interval were estimated with the so-called “g-estimator method” using the outputs of the available loop detectors among the videotaped locations. Then different parametric candidate distributions have been fitted to the speeds by Maximum Likelihood Estimation (MLE) method. Having fitted different parametric distributions to speed data, they were compared by three goodness-of-fit tests along with two penalized criteria (Akaike Information Criterion – AIC and Bayesian Information Criterion – BIC) in order to overcome the over-fitting problems. The results showed that the speed of traffic flow follows exponential, normal, lognormal, gamma, beta and chisquare distribution in the condition that traffic flow followed over-saturated congestion, under saturated flow, free flow, congestion, accelerated flow and decelerated flow respectively.

APA, Harvard, Vancouver, ISO, and other styles

7

Junevičius, Raimundas, and Marijonas Bogdevičius. "MATHEMATICAL MODELLING OF NETWORK TRAFFIC FLOW." TRANSPORT 24, no. 4 (2009): 333–38. http://dx.doi.org/10.3846/1648-4142.2009.24.333-338.

Full text

Abstract:

The article describes mathematical models of traffic flows to initiate different traffic flow processes. Separate elements of traffic flow models are made in a way to be connected together to get a single complex model. A model of straight road with different boundary conditions is presented as a separate part of the network traffic flow model. First testing is conducted in case the final point of the whole modelled traffic line is closed and no output from that point is possible. The second test is performed when a constant value of traffic flow speed and traffic flow rate is entered. Mathematical simulation is carried out and the obtained results are listed.

APA, Harvard, Vancouver, ISO, and other styles

8

Abdi, Ali, Hamid Bigdeli Rad, and Ehsan Azimi. "Simulation and analysis of traffic flow for traffic calming." Proceedings of the Institution of Civil Engineers - Municipal Engineer 170, no. 1 (2017): 16–28. http://dx.doi.org/10.1680/jmuen.16.00005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Chen, Yuanyuan, Yisheng Lv, Peijun Ye, and Fenghua Zhu. "Traffic-Condition-Awareness Ensemble Learning for Traffic Flow Prediction." IFAC-PapersOnLine 53, no. 5 (2020): 582–87. http://dx.doi.org/10.1016/j.ifacol.2021.04.146.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Abramova, Liudmyla, Valerii Shyrin, Hennadii Ptytsia, and Serhii Kapinus. "Dynamic control over traffic flow under urban traffic conditions." Eastern-European Journal of Enterprise Technologies 4, no. 3 (106) (2020): 34–43. http://dx.doi.org/10.15587/1729-4061.2020.210170.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Yu, Yi Fan, Yong Li, and De Peng Jin. "Dynamical Traffic Engineering in Software-Defined Network." Applied Mechanics and Materials 610 (August 2014): 954–58. http://dx.doi.org/10.4028/www.scientific.net/amm.610.954.

Full text

Abstract:

Software-Defined Networks (SDN), as newly proposed network architecture, has a great potential in optimizing network traffics. In SDN, the control plane is separated from the data plane. With the help of the centralized controller, we can gather information of the network in real time. In this work, we propose a practical two-stage approach for traffic engineering that takes advantages of SDN. The approach not only assures every newly injected flow gets a suitable route that does not have too much payload on it, but also schedules the overall flows so that they are distributed more equally in the network. Furthermore, we demonstrate its efficiency in terms of port speed and compared it with port speed under the default routing decision. We also use linear programming to find the optimal solution and compare it with our result.

APA, Harvard, Vancouver, ISO, and other styles

12

Wang, Ran, Jian Bo Xiao, Hao Zhang, et al. "Intelligent Optimization Consider Hour Traffic Flow Traffic Lights Working Condition." Advanced Materials Research 655-657 (January 2013): 1410–14. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1410.

Full text

Abstract:

We design an intelligent optimization system about the response of a traffic signal response, based on a research on traffic at various periods of Wuhan. Fedded traffic flow on the road monitored back to the SCM control system. On the basis of the existing traffic control devices, produce a new intelligent traffic lights according to the traffic flow to change the access time. And optimize the design through modeling and calculation. After simulation, the system significantly reduces the waiting time of the automobile, relieves the burden of traffic at its peak, and eases the pressure on energy and the environment.

APA, Harvard, Vancouver, ISO, and other styles

13

Junevičius, Raimundas, Marijonas Bogdevičius, and Ádám Török. "MODELLING OF INTERNAL COMBUSTION ENGINES’ EMISSION THROUGH THE USE OF TRAFFIC FLOW MATHEMATICAL MODELS." TRANSPORT 26, no. 3 (2011): 271–78. http://dx.doi.org/10.3846/16484142.2011.621978.

Full text

Abstract:

Road traffic flows on a straight road segment are modelled in this article. The mathematical model of traffic flows has been constructed by using the method of lumped parameters. CO2, CO, CH, NOx, PM regression equations of internal combustion engines’ (ICE) emission has been developed. The accuracy of regression equations is 0.98÷0.99. The article presents assumptions for constructing the mathematical model, description of the mathematical model and gives simulation results. Traffic flow parameters, such as traffic flow concentration and traffic flow speed are presented as modelling results. ICE emission depending on the concentration and traffic flow speed are presented as well.

APA, Harvard, Vancouver, ISO, and other styles

14

Gao, Jing, Lili Dai, and Xu Gan. "Traffic flow and safety analysis." Theoretical and Applied Mechanics Letters 8, no. 5 (2018): 304–14. http://dx.doi.org/10.1016/j.taml.2018.05.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Ding, Heng, Wu Wei Chen, Wei Hua Zhang, and Jun Jie Chen. "Multistate Traffic Flow Headway Fitting." Advanced Materials Research 243-249 (May 2011): 4426–29. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.4426.

Full text

Abstract:

Influenced by a variety of factors, such as driving skill, traffic composition, signal control, traffic management, and traffic environment and so on, the traffic flow characteristic parameter statistics embodies multi-state characteristic which is incapable to describe precisely by using a single distribution model. In order to fit the headway characteristic parameter of multi-state traffic flow, based on the denseness of mixture Gamma distribution, the data could be fitted more accurately with the method of expectation maximization algorithm and by means of controlling the number of branches under the condition of precision beyond 95%. Take actual survey data as the example, this paper compares the fitting errors of negative exponential distribution, Erlang distribution and mixture Gamma distribution and the result shows that the fitting result based on mixture Gamma distribution is closer to actual case.

APA, Harvard, Vancouver, ISO, and other styles

16

Brilon, Werner, and Andrea Bressler. "Traffic Flow on Freeway Upgrades." Transportation Research Record: Journal of the Transportation Research Board 1883, no. 1 (2004): 112–21. http://dx.doi.org/10.3141/1883-13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Bazaras, Jonas, Janina Jablonskytė, and Eglė Jotautienė. "INTERDEPENDENCE OF NOISE AND TRAFFIC FLOW." TRANSPORT 23, no. 1 (2008): 67–72. http://dx.doi.org/10.3846/1648-4142.2008.23.67-72.

Full text

Abstract:

Traffic flows in cities, especially in city centres, are intensive and uneven, moreover, registered noise levels exceed allowable limits. Noise levels have been measured at K. Mindaugo ave. and Birštono street crossing in Kaunas and data of automated traffic flow registration equipment have been used. A constant reduction of noise level from the beginning till the end of the green light has been identified ‐ “hot starts” generated noise dominates. To make estimates of noise and traffic flow interdependency, mathematical statistical models have been applied. Parameter distribution patterns have been analysed, prediction models have been composed.

APA, Harvard, Vancouver, ISO, and other styles

18

Junwei, Zeng, Qian Yongsheng, Xu Dejie, Jia Zhilong, and Huang Zhidan. "Impact of Road Bends on Traffic Flow in a Single-Lane Traffic System." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/218465.

Full text

Abstract:

Taking the characteristics of road bends as a research object, this work proposes the cellular model (CA) with road bends based on the NaSch model, with which the traffic flow is examined under different conditions, such as bend radius, bend arc length, and road friction coefficiency. The simulation results show that, with the increase of the bend radius, the peak flow will be continuously increased, and the fundamental diagram will become more similar to that of the classic NaSch model; the smaller the bend radius is, the easier it is for the occurrence of blockage; for different bend lengths, all the corresponding traffic flows show that the phenomenon of go-and-stop and the bends exert slight inhibitory effect on traffic flow; under the same bend radius, the inhibition effect of the bends on the traffic flow will be weakened with the increase of the friction coefficiency.

APA, Harvard, Vancouver, ISO, and other styles

19

Dong, Yu Bo. "Discussion on Urban Road Traffic Congestion Algorithm for Automatically Determining." Advanced Materials Research 926-930 (May 2014): 3790–93. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3790.

Full text

Abstract:

Compared with the expressway, most of the traffic flow in urban road network can be denoted as interrupted traffic flow. Based on the current employed equipment for traffic flow collection and traffic signal control in urban roads, different types of traffic flow in urban roads are analyzed with the traffic flow arrival/departure model in transportation engineering. Mathematical models complying with traffic flow changes are utilized to match the traffic flow in both entry and exit road blocks, thus, enabled the automatic detection of traffic incident. This algorithm provides a measurement for the automatic judgment of urban road congestion and the expansion utility of intelligent transportation facilities in urban areas.

APA, Harvard, Vancouver, ISO, and other styles

20

Maghrour Zefreh, Mohammad, and Adam Torok. "Theoretical Comparison of the Effects of Different Traffic Conditions on Urban Road Traffic Noise." Journal of Advanced Transportation 2018 (October 15, 2018): 1–11. http://dx.doi.org/10.1155/2018/7949574.

Full text

Abstract:

Road traffic noise is one of the most relevant sources in the environmental noise pollution of the urban areas where dynamics of the traffic flow are much more complicated than uninterrupted traffic flows. It is evident that different traffic conditions would play the role in the urban traffic flow considering the dynamic nature of the traffic flow on one hand and presence of traffic lights, roundabouts, etc. on the other hand. The main aim of the current paper is to investigate the effect of different traffic conditions on urban road traffic noise. To do so, different traffic conditions have been theoretically generated by the Monte Carlo Simulation technique following the distribution of traffic speed in the urban roads. The “ASJ RTN-Model” has been considered as a base road traffic noise prediction model which would deal with different traffic conditions including steady and nonsteady traffic flow that would cover the urban traffic flow conditions properly. Having generated the vehicles speeds in different traffic conditions, the emitted noise (LWA) and subsequently the noise level at receiver (LA) were estimated by “ASJ RTN-Model.” Having estimated LWA and LA for each and every vehicle in each traffic condition and taking the concept of transient noise into account, the single event sound exposure levels (SEL) in different traffic conditions are calculated and compared to each other. The results showed that decelerated traffic flow had the lowest contribution, compared to congestion, accelerated flow, free flow, oversaturated congestion, and undersaturated flow by 16%, 14%, 12%, 12%, and 10%, respectively. Moreover, the distribution of emitted noise and noise level at receiver were compared in different traffic conditions. The results showed that traffic congestion had considerably the maximum peak compared to other traffic conditions which would highlight the importance of the range of generated noise in different traffic conditions.

APA, Harvard, Vancouver, ISO, and other styles

21

Li, Shaoqian, Zhenyuan Zhang, Yang Liu, and Zixia Qin. "A Short-Term Traffic Flow Reliability Prediction Method considering Traffic Safety." Mathematical Problems in Engineering 2020 (December 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/6682216.

Full text

Abstract:

With the rapid development and application of intelligent traffic systems, traffic flow prediction has attracted an increasing amount of attention. Accurate and timely traffic flow information is of great significance to improve the safety of transportation. To improve the prediction accuracy of the backward-propagation neural network (BPNN) prediction model, which easily falls into local optimal solutions, this paper proposes an adaptive differential evolution (DE) algorithm-optimized BPNN (DE-BPNN) model for a short-term traffic flow prediction. First, by the mutation, crossover, and selection operations of the DE algorithm, the initial weights and biases of the BPNN are optimized. Then, the initial weights and biases obtained by the aforementioned preoptimization are used to train the BPNN, thereby obtaining the optimal weights and biases. Finally, the trained BPNN is utilized to predict the real-time traffic flow. The experimental results show that the accuracy of the DE-BPNN model is improved about 7.36% as compared with that of the BPNN model. The DE-BPNN is superior to the performance of three classical models for short-term traffic flow prediction.

APA, Harvard, Vancouver, ISO, and other styles

22

Md Diah, Jezan, Li Sian Tey, and Fathiyah Roslee. "An Overview of Lane Changing Model at Signalised Intersection." Social and Management Research Journal 13, no. 2 (2016): 39. http://dx.doi.org/10.24191/smrj.v13i2.5266.

Full text

Abstract:

In recent years, lane changing has become a crucial issue in traffic engineering and safety aspect due to distribution of vehicles across lanes thus contributing to traffic movements. In order to keep the right route, drivers have to change their lanes. However, lane changing has a high potential of accidents, especially at signalised intersection. This may cause the traffic flow to become heavier and traffic congestion. The aims of this study are to study on lane changing issue at signalised intersection, to determine the factors contributing to lane changing at signalised intersection and to develop a model for improvement of traffic flow in lane changing behaviour at signalised intersection. Lane changing model is important because it will reduce traffic congestion and smoothen the traffic. This study will contribute in studying the changing lane issue at signalised intersection which is to control the flow of traffic in order to ensure the traffic flows smoothly and to reduce traffic congestion especially on the merging issue at signalised intersection. Keywords: lane changing, signalised intersection, model, traffic flow

APA, Harvard, Vancouver, ISO, and other styles

23

Herty, M., C. Kirchner, and A. Klar. "Instantaneous control for traffic flow." Mathematical Methods in the Applied Sciences 30, no. 2 (2006): 153–69. http://dx.doi.org/10.1002/mma.779.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Khoshyaran, Megan M., and Jean-Patrick Lebacque. "Homogeneous Bidimensional Traffic Flow Model." IFAC-PapersOnLine 51, no. 9 (2018): 61–66. http://dx.doi.org/10.1016/j.ifacol.2018.07.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Daamen, Winnie, Serge P. Hoogendoorn, and Piet H. L. Bovy. "First-Order Pedestrian Traffic Flow Theory." Transportation Research Record: Journal of the Transportation Research Board 1934, no. 1 (2005): 43–52. http://dx.doi.org/10.1177/0361198105193400105.

Full text

Abstract:

This paper discusses the validity of first-order traffic flow theory for the description of two-dimensional pedestrian flow operations in the case of an oversaturated bottleneck in front of which a large high-density region has formed. The paper shows how observations of density, speed, and flow that have been collected from laboratory walking experiments can be interpreted from the viewpoint of first-order theory. It is observed that pedestrians present at the same cross section inside of the congested region may encounter different flow conditions. This mainly depends on the lateral position of the pedestrian with respect to the center of the congested region. In the lateral center, high densities and low speeds are observed. However, on the boundary of the congested region, pedestrians may walk in nearly free-flow conditions and literally walk around this congested region. Visualization of these data in the flow– density plane results in a large scatter of points that have similar flows (bottleneck capacity) but different densities. This can be explained by noticing that observations of congestion of pedestrian traffic over the total width of the cross section do not belong to a single fundamental diagram but belong to a set of different fundamental diagrams. This observation has consequences for estimation of the fundamental diagram describing pedestrian traffic.

APA, Harvard, Vancouver, ISO, and other styles

26

Zhang, Liguo, Yong Ma, and Liang Shi. "A hybrid traffic flow model for real time freeway traffic simulation." KSCE Journal of Civil Engineering 18, no. 4 (2014): 1160–64. http://dx.doi.org/10.1007/s12205-014-0635-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Arasan, Venkatachalam Thamizh, and Shriniwas Shrikant Arkatkar. "MODELLING HETEROGENEOUS TRAFFIC FLOW ON UPGRADES OF INTERCITY ROADS." TRANSPORT 25, no. 2 (2010): 129–37. http://dx.doi.org/10.3846/transport.2010.16.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

28

Huang, Mei Mei, Qing Yang, and Shang Lin Xiao. "Organization Optimization of Traffic Engineering in Urban CBD." Key Engineering Materials 579-580 (September 2013): 890–93. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.890.

Full text

Abstract:

Orderly organization of traffic engineering in the urban CBD (Center Business District) is a difficult problem, with crowding people flow, heavy traffic flow and complex surrounding situation. This paper set CBD along Xinhua Street in Jinhua city center as an example, focused on the organization optimization process of traffic engineering in CBD. Through the survey on traffic engineering status of sections and intersections, it analyzed road congestion characteristics and intersection signal timing with Vissim software emulation, proposed traffic optimization methods as road channelization, intersection signal timing adjustment of Xinhua-Liberation Road. In Xinhua Street section, it can effectively canalized traffic flow by broadening 2 two-way lanes, adding four pedestrian crossing refuges, and separating Motor vehicle and non-motor vehicle separation barrier. It took queue length, number of stops, delay time three indicators as the objective function with the application of Synchro software adjusting the intersection signal timing. As a result, the total queue length could be reduced from 708.5m to 586.6m and total capacity from 2041 pcu/ h to 2838 pcu/ h.

APA, Harvard, Vancouver, ISO, and other styles

29

Tampère, C. M. J., B. van Arem, and S. P. Hoogendoorn. "Gas-Kinetic Traffic Flow Modeling Including Continuous Driver Behavior Models." Transportation Research Record: Journal of the Transportation Research Board 1852, no. 1 (2003): 231–38. http://dx.doi.org/10.3141/1852-28.

Full text

Abstract:

A modeling technique is presented that analytically bridges the gap between microscopic behavior of individual drivers and the macroscopic dynamics of traffic flow. The basis of this approach is the (gas-) kinetic or mesoscopic modeling principle that considers the dynamics of traffic density and generalizations thereof as a probability density function of vehicles in different driving states. In contrast to traditional kinetic models, deceleration of individual vehicles due to slower traffic is treated as a continuous adaptive process rather than a discrete event. An analytic procedure is proposed to aggregate arbitrarily refined individual driver behavior to a macroscopic expected acceleration or deceleration of flow as a whole that can be used in macroscopic differential equations for traffic flow. The procedure implicitly accounts for the anisotropy of information flow in traffic, for anticipation behavior of drivers, and for the finite space requirement of vehicles, as long as these properties have been specified at the level of individual driver behavior. The procedure is illustrated for a simple car-following model with overtaking opportunity. The results show that the procedure yields micro-based aggregate traffic flow models that capture the essential properties of traffic dynamics. The techniques presented can contribute to the development of traffic flow models with driver behavior and driver psychology as important explanatory factors of congestion formation and propagation. Moreover, the approach allows building macroscopic traffic flow equations from future traffic flows for which no empirical speed–flow–density relations are available yet.

APA, Harvard, Vancouver, ISO, and other styles

30

You, Shuang, and Yaping Zhou. "Optimization driven cellular automata for traffic flow prediction at signalized intersections." Journal of Intelligent & Fuzzy Systems 40, no. 1 (2021): 1547–66. http://dx.doi.org/10.3233/jifs-192099.

Full text

Abstract:

The traffic flow prediction using cellular automata (CA) is a trendy research domain that identified the potential of CA in modelling the traffic flow. CA is a technique, which utilizes the basic units for describing the overall behaviour of complicated systems. The CA model poses a benefit for defining the characteristics of traffic flow. This paper proposes a modified CA model to reveal the prediction of traffic flows at the signalised intersection. Based on the CA model, the traffic density and the average speed are computed for studying the characteristics and spatial evolution of traffic flow in signalised intersection. Moreover, a CA model with a self-organizing traffic signal system is devised by proposing a new optimization model for controlling the traffic rules. The Sunflower Cat Optimization (SCO) algorithm is employed for efficiently predicting traffic. The SCO is designed by integrating the Sunflower optimization algorithm (SFO) and Cat swarm optimization (CSO) algorithm. Also, the fitness function is devised, which helps to guide the control rules evaluated by traffic simulation using the CA model. Thus, the cellular automaton is optimized using the SCO algorithm for predicting the traffic flows. The proposed Sunflower Cat Optimization-based cellular automata (SCO-CA) outperformed other methods with minimal travel time, distance, average traffic density, and maximal average speed.

APA, Harvard, Vancouver, ISO, and other styles

31

Jeihani, Mansoureh, Petronella James, Anthony A. Saka, and Anam Ardeshiri. "Traffic recovery time estimation under different flow regimes in traffic simulation." Journal of Traffic and Transportation Engineering (English Edition) 2, no. 5 (2015): 291–300. http://dx.doi.org/10.1016/j.jtte.2015.08.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Delis, Anargiros I., Ioannis K. Nikolos, and Markos Papageorgiou. "A Macroscopic Multi-Lane Traffic Flow Model for ACC/CACC Traffic Dynamics." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 20 (2018): 178–92. http://dx.doi.org/10.1177/0361198118786823.

Full text

Abstract:

An extended second-order macroscopic traffic flow model is presented that describes multi-lane traffic dynamics and also incorporates the effects of adaptive cruise control (ACC) or cooperative ACC (CACC). The extended model equations stem from a recently proposed multi-lane gas-kinetic traffic flow (GKT) model that can simulate lane changes due to vehicle interactions as well as spontaneous ones. The proposed extension that models the effects of ACC/CACC satisfies the time-gap principle of such systems on each lane and allows for consideration of mixed traffic comprising both manual and ACC/CACC vehicles. Numerical simulations are performed for a particular three-lane motorway stretch in the United Kingdom, where recurrent traffic congestion is observed during the morning peak hours, so as to compare the effects of ACC/CACC in the traffic flow conditions with those resulting from manual driving.

APA, Harvard, Vancouver, ISO, and other styles

33

Kumar, Kranti, Manoranjan Parida, and Vinod Kumar Katiyar. "SHORT TERM TRAFFIC FLOW PREDICTION IN HETEROGENEOUS CONDITION USING ARTIFICIAL NEURAL NETWORK." TRANSPORT 30, no. 4 (2013): 397–405. http://dx.doi.org/10.3846/16484142.2013.818057.

Full text

Abstract:

Traffic congestion is one of the main problems related to transportation in developed as well as developing countries. Traffic control systems are based on the idea to avoid traffic instabilities and to homogenize traffic flow in such a way that risk of accidents is minimized and traffic flow is maximized. There is a need to predict traffic flow data for advanced traffic management and traffic information systems, which aim to influence traveller behaviour, reducing traffic congestion and improving mobility. This study applies Artificial Neural Network for short term prediction of traffic volume using past traffic data. Besides traffic volume, speed and density, the model incorporates both time and the day of the week as input variables. Model has been validated using actual rural highway traffic flow data collected through field studies. Artificial Neural Network has produced good results in this study even though speeds of each category of vehicles were considered separately as input variables.

APA, Harvard, Vancouver, ISO, and other styles

34

Luo, Jing. "Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression." Promet - Traffic&Transportation 32, no. 6 (2020): 821–35. http://dx.doi.org/10.7307/ptt.v32i6.3394.

Full text

Abstract:

With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based on real-time data. Of all the challenges and difficulties faced in the research of short-term traffic flow prediction, this paper intends to address two: one is the difficulty of short-term traffic flow prediction caused by spatiotemporal correlation of traffic flow changes between upstream and downstream intersections; the other is the influence of deviation of traffic flow caused by abnormal conditions on short-term traffic flow prediction. This paper proposes a Bayesian network short-term traffic flow prediction method based on quantile regression. By this method the trouble caused by spatiotemporal correlation of traffic flow prediction could be effectively and efficiently solved. At the same time, the prediction of traffic flow change under abnormal conditions has higher accuracy.

APA, Harvard, Vancouver, ISO, and other styles

35

Ding, Zhong-Jun, Xiao-Yan Sun, and Bing-Hong Wang. "Violating traffic light behavior in the Biham-Middleton-Levine traffic flow model." Procedia Engineering 31 (2012): 1072–76. http://dx.doi.org/10.1016/j.proeng.2012.01.1144.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Zhang, Qing Feng. "Analysis of Air Traffic Flow Management Effect." Advanced Materials Research 945-949 (June 2014): 3271–74. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3271.

Full text

Abstract:

With the rapid increase of the vigorous development of China's aviation industry and air traffic flow, air traffic flow management is increasingly outstanding. To evaluate the effect of air traffic flow management system, needs to establish the air traffic flow management system effectiveness evaluation index from the scientific, objective, practical angle. According to the air traffic flow at home and abroad with evaluation index, respectively, from the meaning of statistical method, calculation method, the solution of different angles, the air traffic flow evaluation indicators for the analysis and research.

APA, Harvard, Vancouver, ISO, and other styles

37

Huang, Hai Yun, and Jun Ping Zhang. "Study on Traffic Flow Model Considering the Interaction of Vehicles." Advanced Materials Research 838-841 (November 2013): 2113–16. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2113.

Full text

Abstract:

In this paper, considering the influence of mixed traffic and overtaking on traffic flow, the formula of viscous resistance was put forth; a new Hydrodynamics model was established. Discrete analysis was carried out on the mechanical equation through the difference method, through which the change in the traffic flows parameters through time and space can be analyzed. Finally, the measured data simulation analysis results show that the new traffic flow model is of certain practical reference.

APA, Harvard, Vancouver, ISO, and other styles

38

Li, Shuang, Faliang Chang, Chunsheng Liu, and Nanjun Li. "Vehicle counting and traffic flow parameter estimation for dense traffic scenes." IET Intelligent Transport Systems 14, no. 12 (2020): 1517–23. http://dx.doi.org/10.1049/iet-its.2019.0521.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Vidal, Pablo Javier, and Ana Carolina Olivera. "Management of urban traffic flow based on traffic lights scheduling optimization." IEEE Latin America Transactions 17, no. 01 (2019): 102–10. http://dx.doi.org/10.1109/tla.2019.8826701.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Smith, Brian L., and Michael J. Demetsky. "Multiple-Interval Freeway Traffic Flow Forecasting." Transportation Research Record: Journal of the Transportation Research Board 1554, no. 1 (1996): 136–41. http://dx.doi.org/10.1177/0361198196155400117.

Full text

Abstract:

Freeway traffic flow forecasting will play an important role in intelligent transportation systems. The TRB Committee on Freeway Operations has included freeway flow forecasting in its 1995 research program. Much of the past research in traffic flow forecasting has addressed short-term, single-interval predictions. Such limited forecasting models will not support the development of the longer-term operational strategies needed for such events as hazardous material incidents. A multiple-interval freeway traffic flow forecasting model has been developed that predicts traffic volumes in 15-min intervals for several hours into the future. The nonparametric regression modeling technique was chosen for the multiple-interval freeway traffic flow forecasting problem. The technique possesses a number of attractive qualities for traffic forecasting. It is intuitive and uses a data base of past conditions to generate forecasts. It can also be implemented as a generic algorithm and is easily calibrated at field locations, suiting it for wide-scale deployment. The model was applied at two sites on the Capital Beltway monitored by the Northern Virginia Traffic Management System. The nonparametric regression forecasting model produced accurate short- and long-term volume estimates at both sites.

APA, Harvard, Vancouver, ISO, and other styles

41

Zhang, Chuan, Liehuang Zhu, Jianbing Ni, Cheng Huang, and Xuemin Shen. "Verifiable and Privacy-Preserving Traffic Flow Statistics for Advanced Traffic Management Systems." IEEE Transactions on Vehicular Technology 69, no. 9 (2020): 10336–47. http://dx.doi.org/10.1109/tvt.2020.3005363.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Liu, Qing, and Jia Jia Zhang. "Traffic Flow Forecasting Based on Land-Use Planning." Advanced Materials Research 945-949 (June 2014): 3260–65. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3260.

Full text

Abstract:

At present, Chinas urbanization is developing rapidly. Traffic construction is helpful to the development of urbanization, and traffic flow forecasting can provide guidance for traffic construction. The basic data that traffic flow forecasting needs relies on social and economic statistics, like population, number of jobs and so on. In areas where the level of urbanization is low, social and economic statistics is always unavailable. As for this, the paper proposed a model that using land-use planning to forecast the traffic flow. First we calculated peak hourly person times by multiplying acreage of traffic zones with peak hourly trip rate, then got trip generation and attraction of traffic zones which is basic data of traffic flow forecasting after appropriate conversion. The case study proved that the model is scientific and rational.

APA, Harvard, Vancouver, ISO, and other styles

43

Chronopoulos, Anthony Theodore, and Gang Wang. "Traffic Flow Simulation through Parallel Processing." Transportation Research Record: Journal of the Transportation Research Board 1566, no. 1 (1996): 31–38. http://dx.doi.org/10.1177/0361198196156600104.

Full text

Abstract:

Numerical methods for solving traffic flow continuum models have been studied and efficiently implemented in traffic simulation codes in the past. Explicit and implicit methods have been used in traffic simulation codes in the past. Implicit methods allow a much larger time step size than explicit methods to achieve the same accuracy. However, at each time step a nonlinear system must be solved. The Newton method, coupled with a linear iterative method (Orthomin), is used. The efficient implementation of explicit and implicit numerical methods for solving the high-order flow conservation traffic model on parallel computers was studied. Simulation tests were run with traffic data from an 18-mile freeway section in Minnesota on the nCUBE2 parallel computer. These tests gave the same accuracy as past tests, which were performed on one-processor computers, and the overall execution time was significantly reduced.

APA, Harvard, Vancouver, ISO, and other styles

44

Kerner, Boris S. "Congested Traffic Flow: Observations and Theory." Transportation Research Record: Journal of the Transportation Research Board 1678, no. 1 (1999): 160–67. http://dx.doi.org/10.3141/1678-20.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Zhang, He Quan. "Research and Improvement of the Keep-Right-Except-to-Pass Rule." Advanced Materials Research 915-916 (April 2014): 459–63. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.459.

Full text

Abstract:

In order to deal with the impact on traffic flow of the rule, we compare the influence factors of traffic flow (passing, etc.) into viscous resistance of fluid mechanics, and establish a traffic model based on fluid mechanics. First, in heavy and light traffic, we respectively use this model to simulate the actual segment of the road and find that when the traffic is heavy, the rule hinder the further increase in traffic. For this reason, we make further improvements to the model to obtain a fluid traffic model based on no passing and find that the improved model makes traffic flow increase significantly. Then, the improved model is applied to the light traffic, we find there are no significant changes in traffic flow .In this regard we propose a new rule: when the traffic is light, passing is allowed, but when the traffic is heavy, passing is not allowed.

APA, Harvard, Vancouver, ISO, and other styles

46

Jiang, Hui, and Hongxing Deng. "Expressway Traffic Flow Missing Data Repair Method Based on Coupled Matrix-Tensor Factorizations." Mathematical Problems in Engineering 2021 (February 11, 2021): 1–12. http://dx.doi.org/10.1155/2021/2919073.

Full text

Abstract:

Traffic flow data is the basis of traffic management, planning, control, and other forms of implementation. Once missing, it will directly affect the monitoring and prediction of expressway traffic status. Regarding this, this paper proposes a repair method for the traffic flow missing data of expressway, combined with the idea of coupled matrix-tensor factorizations (CMTF), to couple the auxiliary traffic flow data into the main traffic flow data and to construct the coupling matrix-tensor expression of traffic flow data, and the alternating direction multiplier algorithm is used to realize the repair of missing traffic flow data. Combined with the measured data of expressway traffic flow, the experimental results show that, under different missing data types and missing rates, the proposed method outperforms the methods lacking auxiliary traffic flow data and achieves a good repair effect, especially for high miss data rates.

APA, Harvard, Vancouver, ISO, and other styles

47

Kljaić, Zdenko, Danijel Pavković, Tomislav Josip Mlinarić, and Mladen Nikšić. "Scheduling of Traffic Entities Under Reduced Traffic Flow by Means of Fuzzy Logic Control." Promet - Traffic&Transportation 33, no. 4 (2021): 621–32. http://dx.doi.org/10.7307/ptt.v33i4.3686.

Full text

Abstract:

This paper presents the design of a fuzzy logic-based traffic scheduling algorithm aimed at reducing traffic congestion for the case of partial obstruction of a bidirectional traffic lane. Such a problem is typically encountered in rail traffic and personal rapid transportation systems with predefined and fixed traffic corridors. The proposed proportional-derivative (PD) fuzzy control algorithm, serving as a traffic control automaton, alternately assigns adaptive green light periods to traffic coming from each direction. The proposed fuzzy logic-based traffic controller has been compared with the conventional traffic control automaton featuring fixed-durations of green light intervals. The comparison has been carried out within a simulation environment for four different probability distributions of stochastic traffic flows at each end of the considered traffic corridor. Results have shown that the proposed fuzzy logic-based traffic controller performance is far superior to that of the conventional traffic control law in terms of achieving shorter vehicle queue lengths and less disparity in queue lengths for all considered simulation scenarios.

APA, Harvard, Vancouver, ISO, and other styles

48

Oleg Fyodorovich Danilov, Victor Ivanovich Kolesov, Denis Alexandrovich Sorokin, and Maxim Leonidovich Gulaev. "Study on the Vehicle Linear Dynamic Interval in a Traffic Flow." Communications - Scientific letters of the University of Zilina 23, no. 1 (2021): E11—E22. http://dx.doi.org/10.26552/com.c.2021.1.e11-e22.

Full text

Abstract:

The transportation industry of a modern city involves the effective systems for the road traffic management. To manage any object is impossible without understanding its specifics. The tasks of road traffic management are based on mathematical models of traffic flows. The “following the leader” model based on the linear dynamic interval of vehicles has become widely accepted in the model analysis. The paper discusses the mathematical model of the linear dynamic interval of vehicles; the model is identified structurally and parametrically. Coefficients of the model are analyzed in detail; a generalized assessment of the dynamic performance of the traffic flow, evolved in various road conditions, is given. The study has resulted in the proposed basic models for traffic flows that can be used for algorithmic support of the model analysis of traffic flows and the road traffic management.

APA, Harvard, Vancouver, ISO, and other styles

49

Li, Wenquan, Wei Wang, and Dazhi Jiang. "Capacity of Unsignalized Intersections with Mixed Vehicle Flows." Transportation Research Record: Journal of the Transportation Research Board 1852, no. 1 (2003): 265–70. http://dx.doi.org/10.3141/1852-32.

Full text

Abstract:

On the basis of gap-acceptance theory, mixed traffic flow composed of two representative vehicle types—heavy and light vehicles—is analyzed with probability theory. A capacity model is set up for an unsignalized intersection in which the minor-stream mixed traffic flows cross m major lanes and the traffic flow headways fit the M3 distribution; it is an extension of minor-lane capacity theory for one vehicle type and one major-stream traffic flow. A more complicated case with minor-stream flow composed of discretionary vehicle types is also considered, and the corresponding formula is given. After field testing in China, the conclusion is drawn that this model is better for analyzing Chinese traffic conditions than are other existing models.

APA, Harvard, Vancouver, ISO, and other styles

50

Zhang, Yuan Yuan, Shi Song Yang, Qing Cai, and Peng Sun. "Traffic Flow Forecasting Based on Chaos Neural Network." Applied Mechanics and Materials 20-23 (January 2010): 1236–40. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.1236.

Full text

Abstract:

Traffic flow forecasting has become an emphasis question for discussion in traffic engineering domain and one kernel study in Intelligent Transportation System. After ensuring the traffic flow has the characteristic of chaos, traffic flow real data have been used to reconstruct phase space. Calculate the saturation phase space embedding dimension and maximal Lyapunov exponent. By above all, a chaos neural network model is constructed, which can make high precision short-term forecast for the nonlinear big-lagged system even by imperfect and variation inputs. At last, a forecasting example provides that the traffic flow forecasting based on chaos neural network is validity and feasibility.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!