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Title: An Evaluation Method on Channelization Design through Drivers’ Various Visual Perception Based on 3D Mobile Mapping
Accession Number: 01657027
Record Type: Component
Abstract: At intersections, left-turn, right-turn and central channelization are widely used. But there are four main problems for channelization, including: poor recognizability, unreasonable entering speed, insufficient sight distance, and relatively low merging speed. The core of these problems is the inappropriate supply of driving speed for channelization, resulting in low reliability and capacity. Current studies regard the driving process through channelization as a whole mainly from the perspective of traffic conflicts, road collisions, travel time, driving delay and so on. Little attention was paid to the channelization design itself to consider its internal composition. Thus, in this paper, the driving process through channelization was divided into four feature stages: “appearance of channelization” - “beginning of channelization” - “middle of channelization” - “end of channelization”. Drivers’ visual lane models were established based on the Catmull-Rom spline to quantify road information perceived by drivers’ vision. Shape parameters and three characteristic regions were extracted from these models. Real vehicle experiments and 3D mobile mapping experiments were conducted at intersections with channelized islands or guide lines. Driving speed distributions in four feature stages was found to obey normal distributions, and could be calculated by shape parameters with Bayesian inference. The observation point in 3D mobile mapping was adjusted to obtain drivers’ any possible visual perception. Then, an evaluation method on channelization was built and could be used to identify which stage of channelization needs to be improved. The superiority of the proposed method can favorably help to improve the safety and efficiency of channelization.
Supplemental Notes: This paper was sponsored by TRB committee AND10 Standing Committee on Vehicle User Characteristics.
Report/Paper Numbers: 18-01890
Language: English
Authors: Pagination: 18p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Photos; References
(34)
; Tables
TRT Terms: Subject Areas: Highways; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-01890
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:28AM
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0000-0003-3101-3907