Estimation of Vehicle Queue Lengths Based on Driveway Access Design

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Estimation of Vehicle Queue Lengths Based on Driveway Access Design! Prof. Jaisung Choi!! The University of Seoul Sept 26 2014 International Conference on Access Management

Access management & I One of the international authors Strong advocate of the application of AM in S Korea Writer of the National Highway Geometric Design Standards (K Green Book) Four university annual conference ( Tongji Univ, U of Calgary, Kumamoto Univ, and U of Seoul) 2014 2

Highway functions 3

Freeways / Arterials 4

The Collector 5

The Local 6

Land developments 7

Access control = 8

Access control benefits 9

Study problems We have safety and delay problems due to the lack of access management 10

Study problems A. We wonder how vehicle flow changes with the geometry of the entrance point B. In particular, the entrance point between the collector and the local the collector the local the local 11

ACCESS DESIGN & RELATED ISSUES In the US, driveway refers to a type of private road for local access to one or a small group of structures, and is owned and maintained by an individual or group.! In contrast, In South Korea, we less use the word of driveway but use entrance point. 12

RESEARCH METHODOLOGY 1. Categorization of the entrance point 2. Field surveys to find traffic flow characteristics for the entrance point, i.e., vehicle queue length 3. Statistical analysis to identify major geometric influence features 4. Implications to current driveway designs 13

FIELD DATA Queue Length Driveway Ingress/Egress Volume Pedestrian Volume Main Road Vehicle Speed Main Road Vehicle Volume Width/Radius/Grade of Driveway Number of Driveway/Main Road Presence of Speed Bump/Crosswalk Presence of Adjacent Bus Stop Channelization Length of Deceleration Lane Driveway Spacing Corner Clearance 14

GEOMETRY of the ENTRANCE POINT 15

Category of vehicle queue types There were three vehicle queue types near the entry point! Case C was few, so our research effort became focused on Case A and Case B. 16

Vehicle queues and geometry (I) First, we examined how vehicle queues grow or diminish with the curb-return radius.! The queue length diminishes with longer radii, indicating potential effects of driveway geometric features on vehicle queues. 17

Vehicle queues and geometry (II) We also examined how vehicle queues in the local vary for different volume levels in the collector street. 18

Statistical analysis 19

Field data and variables Dependent variables - Max. queue lengths Independent variables - Traffic operational condition - Geometric features 20

Multiple regression analysis! Dependent variables are continuous variables.! A multiple number of independent variables.! We also applied a normality test to determine if our data set may be modelled well by a normal distribution and had a successful result. 21

The model, Eqn. (1) First step Second step And, we applied the stepwise regression. - forward selection - backward elimination - bi-directional elimination 22

Summary of the stepwise regression Case A: Model 5 Case B: Model 5 23

Developed models Max. Queue Length = 26.252 + 0.062X X Case A + 6.671X 16 1 + 0.019X 3 1.367X 6 1. 169 7 Max. Queue Length = 20.355 + 0.082X X Case B 2 + 0.026X 3 0.132X 6 0. 982 10 + 4.997X 11 0.069X 13 4. 991 16 + 7.100X X 7 Where: X1 : Driveway Ingress Volume (Vehicles/hour) X2 : Driveway Egress Volume (Vehicles/hour) X3 : Pedestrian Volume Crossing the Collector Street (Pedestrians/hour) X6 : Width of the Collector Street (m) X7 : Radius of the Collector Street (m) X10 : Presence of the Speed Bump (0 or 1) X11 : Presence of the Crosswalk (0 or 1) X13 : Length of the Deceleration Lane in the collector (m) X16 : Presence of the Collector adjacent to the Bus Stop (0 or 1) 24

Variable elasticity, Table 5 Traffic operation variables > Geometric condition variable Classification Case A Case B Driveway Ingress Volume 0.624 - Driveway Egress Volume - 0.693 Pedestrian Volume Crossing the Collector 0.483 0.798 Width of the Collector 0.242 0.022 Radius of the Collector 0.127 0.103 Presence of the Speed Bump - 0.060 Presence of the Crosswalk - 0.068 Length of the Deceleration Lane in the collector - 0.022 Presence of the Collector Adjacent to Bus Stop 0.071 0.051 25

FINDINGS & DISCUSSION Case A: the pedestrian volume crossing the driveway the presence of the crosswalk the presence of bus stops adjacent to the driveway Case B: all factors for Case A plus the presence of the speed bump the length of the deceleration lane in main roads The presence of bus stops near the entry point provides contrasting effects depending upon the queue location. 26

CONCLUSIONS Vehicle queue lengths in the entry points between the collector and the local street may be modelled based on the geometric features of the entry point.! The model we developed shows that the presence of the speed bump and the crosswalk are the most important geometric factors for increasing vehicle queue lengths. 27

Thank you 28