Graphical Solution for Arterial Road Traffic Flow Model Considering Spillover

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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Development of road traffic flow model for nighttime conditions

2015 3rd International Conference on Control, Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2015.7233107 ◽

2015 ◽

Cited By ~ 2

Author(s):

Asmaa Ouessai ◽

Mokhtar Keche

Keyword(s):

Traffic Flow ◽

Flow Model ◽

Road Traffic ◽

Traffic Flow Model

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KELIŲ TRANSPORTO SRAUTŲ MODELIO TYRIMAS, TAIKANT DISKRETINĮ TRANSPORTO SRAUTŲ METODĄ / ROAD TRAFFIC FLOW MODEL INVESTIGATION BY USING DISCRETE TRAFFIC FLOW METHOD

Mokslas - Lietuvos ateitis ◽

10.3846/mla.2018.6051 ◽

2018 ◽

Vol 10 (0) ◽

pp. 1-5

Author(s):

Algimantas Danilevičius ◽

Marijonas Bogdevičius

Keyword(s):

Traffic Flow ◽

Flow Model ◽

Road Traffic ◽

Traffic Signals ◽

Flow Density ◽

Traffic Flows ◽

Traffic Flow Model ◽

Velocity Flow ◽

Theoretical Investigations ◽

Discrete Mathematical Model

The traffic flows are influenced by various factors. In order to determine the characteristics of traffic flows in response to changing conditions, comprehensive research that is based on the best possible methods for simulating different street situations is necessary. The article determines the influence on transport flows due to changed conditions at the end of the simulated street. It presents the dynamic of the main parameters of the traffic flow (velocity, flow and density) depending on the time of changing traffic signals and the changed traffic flow density at the last simulated street point. The results are based on a discrete, mathematical model of traffic flows. The conditions determined by theoretical investigations determine the negative changes in the dynamics of traffic flows on a simulated street. Santrauka Transporto priemonių srautams turi įtakos įvairūs veiksniai. Norint nustatyti transporto srautų savybes priklausomai nuo pakitusių sąlygų reikalingi išsamūs tyrimai, grindžiami kuo tikslesniais metodais imituojant įvairių situacijų gatvėse modelius. Straipsnyje nustatoma įtaka transporto srautams dėl pakitusių sąlygų modeliuojamos gatvės pabaigoje. Pateikiama transporto srautų pagrindinių parametrų (greičio, eismo intensyvumo ir koncentracijos) dinamika priklausomai nuo šviesoforų signalų perjungimo laiko ir pakitusios transporto srauto koncentracijos paskutiniame modeliuojamos gatvės taške. Rezultatams gauti taikomas diskretinis transporto srautų matematinis modelis. Teoriniais tyrimais nustatytos sąlygos, lemiančios neigiamus pokyčius transporto srautų dinamikai modeliuojamame kelyje.

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