Analysis of dynamic available passing sight distance near right-turn horizontal curves during overtaking using LiDAR data

Author:

Ma Yang1,Zheng Yubing1,Cheng Jianchuan1,Easa Said2

Affiliation:

1. School of Transportation, Southeast University, Dongnandaxue Rd 2, Nanjing, P.R. China.

2. Department of Civil Engineering, Ryerson University, Toronto, ON, Canada M5B 2K3.

Abstract

The purpose of this study is twofold: to construct a model for measuring dynamic available passing sight distance (APSD) during overtaking using light detection and ranging (LiDAR) data, and to investigate the effects of several critical variables on dynamic APSD. The analysis considers a single passed vehicle with several variables, including vehicle dimensions Dp, initial headway IH, and speed differential SD. The proposed model simulates the passing process and dynamically estimates APSD considering two types of obstacles: (1) obstacles related to the road environment and (2) passed-vehicle obstacle which is critical especially on or near right-turn horizontal curves. Through multiple tests, the variation of dynamic APSD along with the passing maneuver is established. The results show that large Dp or long IH may increase the adverse effect of the passed vehicle on dynamic APSD. Either too large or too small SD may lead to a relatively high risk of head-on collisions.

Publisher

Canadian Science Publishing

Subject

General Environmental Science,Civil and Structural Engineering

Reference36 articles.

1. American Association of State Highway and Transportation Officials [AASHTO]. 2011. A policy on geometric design of highways and streets. Washington, D.C.

2. Decomposable searching problems

3. Passing Maneuver: Models, Surveys and Simulation

4. Spatial analysis of geometric design consistency and road sight distance

5. Sight distance analysis of highways using GIS tools

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