Abstract

This study aimed to calibrate saturation flow rate (SFR) and start-up lost time (SLT) when developing signal timing. In current commonly used methods, SFR for one given lane is usually calibrated from many subjective adjustment factors and a fixed result. SLT is calculated based on the fixed SFR, which prevents local applications in China. Considering the importance of traffic behavior (headway) in determining SFR and SLT, this study started from headway distribution and attempted to specify the relationships between headway and vehicle position directly. A common intersection in Nanjing, China, was selected to implement field study and data from 920 queues was collected. Headway distribution was explored and the 78th percentile of headway at each position was selected to build model. Based on the developed relationships, SFR and SLT were calibrated. The results showed that SFR and SLT were correlated with queue length. Moreover, the results showed that it was difficult to reach saturated state even with a long queue length. This paper provides a new perspective on calibrating important parameters in signal timing, which will be useful for traffic agencies to complete signal timing by making the process simpler.

Highlights

  • Signalized intersections are widely used in different roads in many areas around the world

  • The results showed that saturation flow rate (SFR) and start-up lost time (SLT) were correlated with queue length

  • The field study and case study are both located in a common intersection in Nanjing from where data from 920 queues was collected

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Summary

Introduction

Signalized intersections are widely used in different roads in many areas around the world. The stop line method computes capacity for each special lane based on headway. HCM (2010) provides a common and detailed method for signal timing, considering saturation flow rate (SFR) and start-up lost time (SLT), as shown in (1)–(3). In these equations, traffic demand Vi can be obtained through field study and volume-to-capacity ratio Xi is determined according to the traffic agency, usually equal to 1.00. Despite the availability of various methods, it is still a difficult problem for local traffic agency to develop signal timing due to the many adjustment factors. An analytical method is developed to calibrate SFR and SLT based on discharge headway distribution.

Data Collection
Discharge Headway Distribution
SFR and SLT Calibration
Conclusions
Findings
Conflict of Interests
Full Text
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