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Title:

A Novel Real-time Visualization Algorithm for Computing Three-dimensional Sight Distance

Accession Number:

01664213

Record Type:

Component

Abstract:

A few models have been developed for computing the three-dimensional available sight distance (3D ASD), but nearly all of these existing models/algorithms have simplifications to the road environment, especially to the roadside obstructions. In this paper, a real-time visualization algorithm was proposed for determining the available 3D sight distance. The road environment was represented by the dense and organized 3D points along the spatial alignment while the crown slopes, superelevation, widening, etc. were all considered for the roadway and almost no simplification was made to the roadside obstacles. The driver’s dynamic vision along the highway was simulated and digitized with the sequential application of 3D coordinate transformation and perspective projection. A new concave hull algorithm was proposed to facilitate the process of searching for the sight obstacles. The result of the 3D sight distance and the instantaneous vision of the driver at a given position were outputted simultaneously. The new algorithm makes it possible to identify obstacles obstructing the line of sight, ensure the correctness of the sight distance, and provide basis for real-time safety applications. The algorithm can also be applied to undertake geometric consistency audits, road safety audits, and to determine passing or no-passing zones on two-lane highways. A case study was also presented to demonstrate the validity and superiority of the proposed algorithm over 2D models and other 3D models.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ95 Standing Committee on Visualization in Transportation.

Report/Paper Numbers:

18-00518

Language:

English

Authors:

Ma, Yang
Zheng, Yubing
Cheng, Jianchuan
Guo, Lixin
Zhang, Yunlong

Pagination:

9p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Obstructions (Sight distance)

Subject Areas:

Highways; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00518

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:08AM