HomeAbstract of 5th-caueANALYSIS OF TRAFFIC BASED ON DRIVERS’ LANE CHANGE SEPARATION MODELS TO CALCULATE THE APPROPRIATE POSITION FOR THE MOVEMENT OF VEHICLES ON THE HIGHWAY

ANALYSIS OF TRAFFIC BASED ON DRIVERS’ LANE CHANGE SEPARATION MODELS TO CALCULATE THE APPROPRIATE POSITION FOR THE MOVEMENT OF VEHICLES ON THE HIGHWAY

  • Jan 15, 2019
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Proceedings of the 5th International Conference on Civil Engineering, Architecture and Urban Planning Elites

Year: 2018

DOI: https://www.doi.org/10.33422/5th-caue.2018.02.45

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Analysis of Traffic Based On Drivers’ Lane Change Separation Models to Calculate the Appropriate Position for the Movement of Vehicles on the Highway

AmirMohammad Parvini , Mahmoudreza Keymanesh

 

ABSTRACT: 

Lane changing and car-following models are cell models in which the highways are divided into a series of cells and each vehicle at any time is placed in one of these cells. But unlike the separation model, the movement lanes and their situation are not considered. Therefore, this study defined two different models: integration of lane changing behavior and following based on risk reduction TSR and integration of lane changing behavior and drivers’ following based on increasing the speed of TSV and provided their overall relations. Then the macro and micro assessment of TSR and TSV models in analysis of separation based on drivers’ lane changing were done. Based on the results of this study, TAV and TSR models can estimate the average speed and the number of lane change satisfactorily at 95% confidence level. The results of assessing these models at the micro level were also provided. The parameters used for micro assessment determine the positions of vehicles in simulation environment and real conditions and decreasing their number is an indicator of more consistency of the model with the real situation. Comparing the results of traffic flow simulation by using the model and the statistical sample taken from the real world showed that the TSV speed increase model simulated the real conditions better than the TSR model. The models were prepared based on optimizing processes of drivers to reduce the crash risk and increase the maximum safe speed for drivers. Based on the results that validated TSV and TSR models at the macro level, and according to the results of micro analysis, in this research TSR model can be used to simulate in other Intelligent Transportation systems.

Keywords: Traffic analysis, separation models, lane changing, highway.