scholarly journals Unbalanced Multiple Left Turn Lane Usage Modelling: From Individual Choice to Aggregate Volume

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Li Li ◽  
Qing-Chang Lu ◽  
Dong Zhang ◽  
Ping Wang ◽  
Gui-Ping Wang
Keyword(s):  
Discrete Choice ◽  
Traffic Control ◽  
Choice Model ◽  
Signalized Intersections ◽  
Influential Factors ◽  
Individual Choice ◽  
Left Turn ◽  
Vehicle Type ◽  
Traffic Distribution ◽  
Turning Radius

Diverse lane preferences of left-turn drivers lead to unbalanced traffic distribution on multiple left-turn lanes. The preferences can be measured in terms of lane usage at macroscopic level and individual lane choice at microscopic level. The data of lane volume and individual lane choices are collected at eight dual or triple left-turn lanes equipped in signalized intersections in China. Linear regression model with dummy variables and discrete choice model were applied to analyse drivers’ lane choosing patterns at macroscopic and microscopic levels, respectively, and results of the two studies are mutually verified and complemented. The drivers’ lane preferences are found to vary with approach configurations, traffic control, and the number of lanes available. Static influential factors, such as turning radius inside the intersection, the design of shadowed lane, and intersection skewedness, as well as dynamic influential factors, including queue length, heavy vehicle in queue back and subject vehicle type, could affect the drivers’ lane preferences. The findings of this study have important implications for intersection design and traffic control in practice.

scholarly journals A Compositional Analysis of Unbalanced Usages of Multiple Left-turn Lanes

2017 ◽  
Vol 29 (3) ◽  
pp. 287-298
Author(s):  
Li Li ◽  
Qing-Chang Lu ◽  
Yun-Tao Chang ◽  
Zhong-Ren Peng
Keyword(s):  
Statistical Analysis ◽  
Traffic Control ◽  
Compositional Analysis ◽  
Signalized Intersections ◽  
Influential Factors ◽  
Segment Length ◽  
Signal Phase ◽  
Left Turn ◽  
Parameter Variance

Lane usage measures distribution of a specific traffic movement across multiple available lanes in a given time. Unbalanced lane usages decrease the capacity of subject segment. This paper took multiple left-turn lanes at signalized intersections as case study, and explored the influences of some factors on the lane usage balance. Lane usages were calculated from field collected lane volumes and the constant-sum constraint among them was explicitly considered in the statistical analysis. Classical and compositional analysis of variance was respectively conducted to identify significant influential factors. By comparing the results of compositional analysis and those of the classical one, the former ones have better interpretability. It was found that left-turn lane usages could be affected by parameter variance of geometric design or traffic control, such as length of turning curve, length of upstream segment, length of signal phase or cycle. These factors could make the lane usages achieve relative balance at different factor levels.

scholarly journals Car-following Behavior Analysis of Left-turn Vehicles at Signalized Intersections

2020 ◽  
Vol 6 (1) ◽  
pp. 186-193 ◽  
Author(s):  
Fulu Wei ◽  
Long Chen ◽  
Yongqing Guo ◽  
Mingtao Chen ◽  
Jiaxiang Ma
Keyword(s):  
Field Data ◽  
Signalized Intersections ◽  
Signalized Intersection ◽  
Velocity Difference ◽  
Left Turn ◽  
Average Speed ◽  
Car Following ◽  
Turning Radius ◽  
The Stability ◽  
Stability And Accuracy

In order to enrich the car-following theory of urban signalized intersections, and reveal the car-following characteristics of left turn at signalized intersections, the car-following behavior of left turn at signalized intersections is studied. The car-following data acquisition test which was based on high precision GPS was designed. And the car-following characteristics of left-turning vehicles at signalized intersections with different turning radii were analyzed. Based on which, the influence of radius on the car-following behavior was explained, and the New Full Velocity Difference (NFVD) model was developed. The genetic algorithm was used to calibrate the parameters of the NFVD model. The stability and accuracy of the calibrated model was further analyzed by using field data. The results showed that the average speed of the following car increases with the turning radius of the signalized intersection; the car-following speed which the highest frequency occurs under different turning radii tends to increase with the enlargement of turning radius; the larger the average headway distance between the car-following vehicles, the more intense of the driver’s response to the deceleration of the front vehicle. These findings could be used in traffic simulation and to make engineering decisions.

Queue-Based Guidance for Signalization Consideration at Two and Three-Legged Intersections

2019 ◽  
Vol 2673 (10) ◽  
pp. 416-426
Author(s):  
Shannon Warchol ◽  
Nagui Rouphail ◽  
Chris Vaughan ◽  
Brendan Kearns
Keyword(s):  
North Carolina ◽  
Traffic Control ◽  
Signalized Intersections ◽  
Data Driven ◽  
Left Turn ◽  
Minor Road ◽  
Adjustment Factors ◽  
Queue Lengths ◽  
Control Devices ◽  
A Minor

This research collected and analyzed gap acceptance in North Carolina to develop a data-driven method for determining the need for considering additional signalization analysis at intersections with fewer than four legs. This method can be used for movements that merge with or cross two lanes of oncoming traffic. It is intended to provide guidance and support to traffic engineers in their decision-making process. Charts are provided to determine the expected 95th percentile queue lengths for left-turn, right-turn, and U-turn movements crossing or merging with two lanes of conflicting traffic. This situation is typically present along four-lane roadways where a one-way primary movement opposes either a minor road right-turn movement or a left-turn movement, or in the case of a median U-turn opening. Adjustment factors to the conflicting flowrate were developed to account for the presence of upstream signalized intersections. This method less frequently recommends further signal consideration when compared with the Manual on Uniform Traffic Control Devices peak hour warrant, but is similar to the delay-based level of service D/E threshold for two-way stop-controlled intersections in HCM6 Chapter 19.

Effect on Vehicle-Pedestrian Conflicts of “Turning Traffic Must Yield to Pedestrians” Sign

1996 ◽  
Vol 1553 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Husham N. Abdulsattar ◽  
Mohammed S. Tarawneh ◽  
Patrick T. McCoy ◽  
Stephen D. Kachman
Keyword(s):  
Traffic Control ◽  
Signalized Intersections ◽  
Legal Obligation ◽  
Left Turn ◽  
Right Of Way ◽  
Two Cities ◽  
Before And After ◽  
Left And Right ◽  
Control Devices ◽  
The Right

Left- and right-turn movements at signalized intersections have been found to be three to six times more hazardous to pedestrians than through movements mainly because drivers fail to observe or yield the right of way to pedestrians. The objective was to evaluate the Turning Traffic Must Yield to Pedestrians sign, which was aimed at reminding turning motorists of their legal obligation to yield the right of way to pedestrians and, consequently, reducing vehicle-pedestrian conflicts. The sign was installed at 12 marked crosswalks in two cities, and vehicle-pedestrian conflict data were collected before and after its installation. The sign was effective in reducing left-turn conflicts 20 to 65 percent and right-turn conflicts 15 to 30 percent; both reductions were statistically significant at the 0.05 level. The sign was significantly more effective in reducing left-turn conflicts than it was for right-turn conflicts. Percentage conflicts between pedestrians and turning traffic decreased as the pedestrian group size increased. In other words, larger pedestrian group sizes encountered fewer conflicts with turning traffic. This result is true for both left- and right-turn movements, regardless of the presence of the sign. Based on the results of this study, it was recommended that the “Turning Traffic Must Yield to Pedestrians” sign be considered for inclusion in the Manual on Uniform Traffic Control Devices.

Study of Intersection Accidents by Maneuver Type

2002 ◽  
Vol 1784 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Sudeshna Mitra ◽  
Hoong Chor Chin ◽  
Mohammed Abdul Quddus
Keyword(s):  
Traffic Control ◽  
Traffic Accidents ◽  
Signalized Intersections ◽  
Probability Models ◽  
Left Turn ◽  
Factors Affecting ◽  
Adaptive Signal Control ◽  
Road Geometry ◽  
Accident Data ◽  
Adaptive Signal

Studies dealing with the effect of road geometry on accidents by vehicle maneuvers have been reported, mostly for western countries and a few for Asia. However, no such studies have been reported for Singapore. Traffic accidents arising from head-to-side and head-to-rear maneuvers at four-legged signalized intersections in Singapore were investigated. Based on accident data at intersections in the southwestern part of Singapore from 1992 to 1999, the factors affecting such accidents were explored using zero-altered probability models. Specific roadway geometries as well as traffic control and regulatory factors that influence the two categories of accidents were identified. It was found that head-to-side accidents tend to decrease if there is an adjacent intersection within 200 m and if bus stops along the approach are provided with bays. On the other hand, longer sight distances and the presence of a pedestrian refuge tend to increase this type of accident. Higher speed limits were found to reduce the instances of zero head-to-side accidents. It was also found that head-to-rear accidents decrease when the intersections are under adaptive signal control but increase when surveillance cameras are present. There is also some evidence to suggest that the presence of an uncontrolled left-turn channel, the existence of medians wider than 2 m, higher approach volumes, and more phases per cycle all contribute to higher instances of accidents by both maneuver types.

scholarly journals A COMPOSITIONAL APPROACH FOR TRAFFIC DISTRIBUTION EVALUATION OF TRIPLE LEFT-TURN LANES FROM AN INDIVIDUAL PERSPECTIVE

Transport ◽  
2021 ◽  
Vol 36 (2) ◽  
pp. 110-122
Author(s):  
Li Li ◽  
Dong Zhang ◽  
Xiao-Yun Cheng ◽  
Ping Wang ◽  
Gui-Ping Wang
Keyword(s):  
Traffic Control ◽  
Compositional Data ◽  
Compositional Analysis ◽  
Independent Effect ◽  
Signal Phase ◽  
Left Turn ◽  
Joint Effects ◽  
Traffic Distribution ◽  
Compositional Approach ◽  
Phase Cycle

This study analysed unbalanced traffic distribution on Triple Left-Turn Lanes (TLTLs) at signalized intersections that is caused by left-turn drivers’ unequal lane preferences. To develop statistical bonding between the multilane traffic flow and individual lane choices, the lane volumes are formatted as compositional data to subject the sum-constant constraint. One-way and two-way Compositional ANalysis Of VAriance (CANOVA) models were formulated respectively to estimate the independent effect of one factor and its joint effects with other factors on the multilane traffic distribution. TLTL volume composition was the dependent variable of the models, while the factors of geometric design and traffic control that could affect left-turn drivers’ lane choice were the independent variables. Results indicate that variance of vehicle turning curve, length of the upstream segment, the location of triple left-turn sign, signal phase / cycle length, could affect the traffic distribution, and its balance could be achieved at specific levels of a factor. The joint effects of some factor couples could improve the unbalanced traffic distribution while others could not work.

Discrete Choice with Social and Spatial Network Interdependencies

2005 ◽  
Vol 1921 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Elenna R. Dugundji ◽  
Joan L. Walker
Keyword(s):  
Discrete Choice ◽  
Choice Model ◽  
Mode Choice ◽  
Decision Makers ◽  
Spatial Network ◽  
Individual Choice ◽  
Traditional Methods ◽  
Data Set ◽  
Industry Standard ◽  
Formidable Challenge

Discrete choice analysis has become an industry standard in land use and transportation models. Such models are fundamentally grounded in individual choice; therefore, the treatment of interdependencies among decision makers is a formidable challenge. Through an empirical application to mode choice, the capture of interdependencies in discrete choice is described and illustrated. Decision makers are assumed to be influenced, for example, by people of similar socioeconomic status who are nearby. Given such social and spatial network relationships, the choice model captures interdependencies in two ways: ( a) including in the systematic utility variables that describe choices of others in the decision maker's social and spatial network and ( b) allowing for correlation across the disturbances of decision makers within the same social and spatial network. Variations of these approaches (including their combination and the use of random parameters) are tested with mode choice and compared with traditional methods of market segmentation. The application results indicate that the proposed methods for capturing interdependencies are significant and superior to traditional methods. Furthermore, capturing the interdependencies in the systematic utility is sufficient: it is better than the model with just correlation and is not significantly worse than the model with both the systematic term and correlation. The systematic term also captures a feedback effect that can propel the adoption of a new mode over time, for example. Models are estimated with the use of a traditional transportation data set and readily available software.

scholarly journals Assessment of Bicycle Left-turn Traffic Control Strategies at Signalized Intersections

2014 ◽  
Vol 32 (6) ◽  
pp. 579-588 ◽  
Author(s):  
Chung Min Lee ◽  
Sang Soo Lee ◽  
Hanseon Cho ◽  
Doohee Nam
Keyword(s):  
Traffic Control ◽  
Control Strategies ◽  
Signalized Intersections ◽  
Left Turn
Sign in / Sign up

Export Citation Format

Share Document