Traffic analysis of two-lane highways

Fi, István; Galuska, János

doi:10.3311/pp.ci.2011-2.09

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The accuracy of the results could be further increased by the simulation tests of higher traffic flow values and by using lower truck rates, as well as the scale units of exiting and entering traffic flow could also be refined. It would cause results resolution like other analyses [3]. It would also be possible to analyze sections including multiple exits and entries.…”

Section: Further Investigation Opportunitiesmentioning

confidence: 99%

Analysis of on- and off-ramp types on highways

Kollar

2014

Per. Pol. Civil Eng.

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Section: Further Investigation Opportunitiesmentioning

confidence: 99%

Analysis of on- and off-ramp types on highways

Kollar

2014

Per. Pol. Civil Eng.

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“…For instance, as for "traffic operations" [1][2][3][4], it is well known how the presence of platoons can influence breakdown probability [5,6]. Moreover, platoon analyses turned out to be important also in the study of car accidents and road safety [7].…”

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Contribution to the platoon distribution analysis in steady-state traffic conditions

Mauro

Branco

Guerrieri

2014

Period. Polytech. Civil Eng.

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The traffic flow analysis and the relevant vehicle distribution ("free-moving" or "platooned" vehicles) IntroductionThe traffic flow composition and the relevant presence of vehicle platoons is particularly interesting in traffic study, and more generally in Highway Engineering, with reference to a plethora of theoretical and practical applications. For instance, as for "traffic operations" [1][2][3][4], it is well known how the presence of platoons can influence breakdown probability [5,6]. Moreover, platoon analyses turned out to be important also in the study of car accidents and road safety [7]. Such a very high practical interest accounts for the numerous models developed over the years. By way of an example, it is worth mentioning the research conducted by Baras et al. [8], which also considers facilities with interrupted flow -and the most recent studies by Ramezani et al. [9] and Jiang et al. [10]. Still today, therefore, the topic has a remarkable scientific and practical interest and deserves in-depth analysis.At first, this article briefly describes the Pearson type III distribution which represents a time headway probability model (more specifically, a generalized mathematical model). The peculiarity of the Pearson type III distribution is its capacity to generate distribution families depending on the chosen model parameters, which can be suited to a plethora of types of traffic phenomena. In the course of this research, some of the above formulations were used to analyse a vehicle distribution within a traffic flow in steady-state conditions and notably to identify the presence and composition of vehicle platoons. In order to apply this analysis to a great number of observations, a specific algorithm was designed and calibrated according to empirical surveys, suitable to randomly simulate a traffic flow and to "identify" the essential characteristics of any present vehicle platoon. The algorithm was implemented to generate realizations of the random function Q(t) (i.e. a traffic flow on a road cross-section in function of time t) starting from input data. The resulting random functions were properly studied and their main characteristics (i.e. non-random functions: mathematical hope and variance) were determined to confirm the steady state flow hypothesis assumed for the development of this study.

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Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

Farooq

Juhász

2019

Sustainability

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Lane changing of traffic flow is a complicated and significsant behavior for traffic safety on the road. Frequent lane changing can cause serious traffic safety issues, particularly on a two-lane road section of a freeway. This study aimed to analyze the effect of significant traffic parameters for traffic safety on lane change frequency using the studied calibrated values for driving logic “conscious” in VISSIM. Video-recorded traffic data were utilized to calibrate the model under specified traffic conditions, and the relationship between observed variables were estimated using simulation plots. The results revealed that changes in average desired speed and traffic volume had a positive relationship with lane change frequency. In addition, lane change frequency was observed to be higher when the speed distribution was set large. 3D surface plots were also developed to show the integrated effect of specified traffic parameters on lane change frequency. Results showed that high average desired speed and large desired speed distribution coupled with high traffic volume increased the lane change frequency tremendously. The study also attempted to develop a regression model to quantify the effect of the observed parameters on lane change frequency. The regression model results showed that desired speed distribution had the highest effect on lane change frequency compared to other traffic parameters. The findings of the current study highlight the most significant traffic parameters that influence the lane change frequency.

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Traffic analysis of two-lane highways

Cited by 3 publications

References 2 publications

Analysis of on- and off-ramp types on highways

Analysis of on- and off-ramp types on highways

Contribution to the platoon distribution analysis in steady-state traffic conditions

Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway

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