scholarly journals Traffic flow at signalized intersections with large volumes of bicycle traffic

2022 ◽  
Vol 155 ◽  
pp. 464-483
Author(s):  
Georgios Grigoropoulos ◽  
Axel Leonhardt ◽  
Heather Kaths ◽  
Marek Junghans ◽  
Michael M. Baier ◽  
...  
Author(s):  
Kathrin Arnet ◽  
S. Ilgin Guler ◽  
Monica Menendez

Public transportation (e.g., buses) can provide more efficient urban transportation systems by carrying more people in the same space. A commonly used solution to prioritize this mode is to dedicate a lane for bus use only. However, the changes in system capacity are not clear for the use of a dedicated bus lane instead of completely mixed-use lanes. Even if the capacity of the dedicated bus lane were not fully used, this strategy could still increase car capacity in the remaining lanes in two ways: ( a) buses traveling on a separate lane would eliminate conflicting bus maneuvers and ( b) the reduced number of lanes available for cars could reduce the number of lane changes and could smooth traffic. This paper empirically analyzes differences in car capacity between ( a) a mixed-use scenario without the influence of buses and a dedicated-lane scenario and ( b) a mixed-use scenario with and without buses. Results show that with mixed-use lanes the car capacity per lane remains the same as compared with a dedicated-lane scenario. However, in mixed-use conditions, the presence of a bus in traffic flow can reduce capacity by 20%. Based on these findings, a simple analysis is carried out to compare passenger delay at urban signalized intersections with a mixed use versus dedicated bus lane. It is shown that passenger delay can be reduced with use of dedicated bus lanes if bus occupancies are relatively high or if car demand is low.


2009 ◽  
Vol 14 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Yuelong Su ◽  
Zheng Wei ◽  
Sihan Cheng ◽  
Danya Yao ◽  
Yi Zhang ◽  
...  

2018 ◽  
Vol 30 (2) ◽  
pp. 171-178 ◽  
Author(s):  
Shaban Ismael Albrka Ali ◽  
◽  
Rifat Reşatoğlua ◽  
Hudaverdi Tozan

2021 ◽  
Vol 20 (6) ◽  
pp. 506-513
Author(s):  
A. V. Zedgenizov ◽  
D. V. Kapskiy ◽  
R. Yu. Lagerev

The paper discusses problems of assessing the impact of mass attraction centers on the adjacent street and road network in the process of their functioning, expansion or conversion. The choice of criteria for assessing the organization of traffic flow, given in the Russian and foreign literature, has been substantiated, in particular, it is proposed to use v/c ratio for adjacent junction and corresponding level of traffic service (LOS). The main models for estimating capacity of signalized intersections are presented. The procedures of forming a mathematical model for estimating the load factor of signalized intersections is shown. The concepts of lane group capacity, total lost time per cycle, phase coefficients, saturation flow rate, and coefficients taking into account the decrease in the ideal saturation flow rate are explained. A mathematical model for estimating transport demand is presented, which allows to calculate the intensity of traffic flow to and from the center of mass attraction on the basis of the total traffic flow of correspondence, share of visitors in individual transport, average filling of individual transport, and coefficient of daily irregularity upon arrival and departure of visitors on an individual transport. An integrated mathematical model of loaf factor is proposed which includes parameters for estimating transport demand for centers of mass embarrassment and parameters that determine the signalized intersections capacity. The uniqueness of the integrated model is that it simultaneously involves parameters reflecting the demand and capacity of loading intersection. Recommendations are made on assessing the level of traffic service flows and the v/s ratio, based on the data of transport demand and capacity, adjacent to the centers of mass attraction of the road network. The presented method of estimating the LOS based on the capacity of the signalized intersections allows us to estimate the influence degree of mass attraction centers on the adjacent urban road network.


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