A novel analytical model for estimating vehicle delay at isolated signalised intersections. (5th April 2023)

• Record Type: Journal Article
• Authors: Qiao, Feng; Liu, Huixin; Luo, Dan; Sun, Haochen; Chen, Yinong
• Is Part Of: International journal of simulation and process modelling. Volume 19:Number 1/2(2023)
• Page Start: 71
• Page End: 85
• Publication Date: 2023-04-05
• Subjects: signalised intersection -- analytical model -- vehicle delay -- saturated condition -- oversaturated condition -- operating characteristics; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

Abstract

This paper proposes a novel analytical model to estimate the average vehicle delay at signalised intersections under saturated or oversaturated conditions based on the investigation and analysis of the existing methods to deal with the problems arising in the process of acceleration, deceleration, and the transmissibility of the cycle-by-cycle average vehicle delay. The proposed model employs and combines the operating and queuing characteristics of vehicles to produce the analytic formula. To verify the effectiveness of the proposed model, simulation experiments are conducted, and the error rates and the correlation coefficients are investigated, which confirm that the proposed model possesses certain significant advantages over the existing models in saturated and oversaturated conditions. The results of research work show that the proposed model can provide transportation engineers or professionals with an effective tool for analysing, timing and managing the saturated or oversaturated signalised intersections.