Assessment of saturation flow at signalized intersections: a synthesis of global perspective and future directions

被引:3
|
作者
Mondal, Satyajit [1 ]
Gupta, Ankit [1 ]
机构
[1] Banaras Hindu Univ, Dept Civil Engn, Indian Inst Technol, Varanasi 221005, Uttar Pradesh, India
来源
CURRENT SCIENCE | 2020年 / 119卷 / 01期
关键词
Estimation method; homogeneous and mixed traffic; influencing factors; saturation flow; signalized intersection; PASSENGER CAR UNITS; MICROSIMULATION MODELS; TRAFFIC FLOW; CALIBRATION; CAPACITY; VALIDATION; LANE; PERFORMANCE; GUIDELINES; VEHICLES;
D O I
10.18520/cs/v119/i1/32-43
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Saturation flow assessment at signalized intersections is one of the key features for analysing various performance measures such as capacity, level of service, signal strategies and coordination, and prediction of traffic flow models. Thus, an accurate estimation of saturation flow value is more beneficial at signalized intersections. Several studies have focused on the estimation of saturation flow in different roadway, traffic and control conditions. Earlier, saturation flow estimation methods were developed purely based on homogeneous traffic, where vehicle interaction was relatively less. However, in mixed traffic, an uneven distribution can be observed due to different vehicle dynamics and manoeuvrability with weak lane discipline. Thus, many studies have been carried out to frame an appropriate saturation flow estimation method. This study presents a comprehensive review on various saturation flow estimation methods developed in different traffic conditions; the drawbacks of the each method are also summarized. Moreover, a list of influencing factors affecting saturation flow value is provided. The general challenges in saturation flow estimation followed by some future direction for improvement in prediction models are also highlighted.
引用
收藏
页码:32 / 43
页数:12
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