Abstract

The overtaking process on two-lane rural roads is a critical task for drivers and directly impacts safety. This paper investigates the vehicle’s passing path from the road-engineering point of view, consisting of a series of successive parametric spiral arcs, based on a real driving experiment with respect to the roadway’s posted speed. Passing maneuvers were recorded utilizing global navigation satellite system (GNSS) receivers. The curved paths were determined for two different and mostly typical posted speed values (90 and 110  km/h), where the impeding (passed) vehicle was assumed to travel under steady-state conditions (20  km/h below the respective posted speed values). The authors, by examining these curved paths, intend to quantify their trajectories and respective critical parameters, such as overtaking distance, headway distance, and acceleration performance. Four predictive lognormal models for each speed scenario were developed to estimate the radius of each overtaking curved section with high accuracy. Headway distance observed in this study is very close, while total overtaking distance is greater than those reported in the published literature. The present research is a source for road authorities to assess overtaking sight distance with critical overtaking parameters such as posted speed and vehicle speed differences as well as an opening paradigm of how the passing process can be standardized and therefore deployed in future advanced driver assistance systems.

Practical Applications

The provision of overtaking maneuvers on two-lane rural roads is regarded as a key safety priority during their geometric and operational design. The objective of the paper is to standardize the passing vehicles’ trajectories during the overtaking process. Besides quantifying the geometry of the overtaking successive curves, the authors aim to understand the potential degree of influence of other involved parameters, such as vehicle speed, acceleration, and longitudinal displacement of vehicles as well as the total overtaking length. The results revealed that the utilization of a certain mathematical curve (spiral), which is also applied in road design, delivers very accurate results. The impact of the other examined parameters also delivered interesting conclusions. The findings of the present analysis can be further analyzed by highway design agencies for adopting additional criteria to determine more accurate overtaking sight distances. In terms of vehicle automation, the paper mainly addresses cases where only the passing vehicle can be automated (the impeding vehicle conventional). For the examined speed difference value between the passing and the impeding vehicles, the research is an opening paradigm of how the passing process can be standardized and therefore deployed in existing advanced driver assistance systems (ADAS).

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Data of the field driving experiment, codes generated for data processing, and methodology purposes are the authors’ property and cannot be provided because they are used by certain authors of this paper for upcoming extended research.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 149Issue 5May 2023

History

Received: Dec 10, 2021
Accepted: Dec 21, 2022
Published online: Mar 15, 2023
Published in print: May 1, 2023
Discussion open until: Aug 15, 2023

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Ph.D. Candidate, School of Civil Engineering, National Technical Univ. of Athens, 5, Iroon Polytechniou St., Athens GR-15773, Greece (corresponding author). ORCID: https://orcid.org/0000-0002-9658-5650. Email: [email protected]
Nikolaos–Panagiotis Trantas [email protected]
P.E.
Research Assistant, School of Civil Engineering, National Technical Univ. of Athens, 5, Iroon Polytechniou St., Athens GR-15773, Greece. Email: [email protected]
Research Associate, School of Rural, Surveying and Geoinformatics Engineering, National Technical Univ. of Athens, 5, Iroon Polytechniou St., Athens GR-15773, Greece. ORCID: https://orcid.org/0000-0001-5688-4827. Email: [email protected]
Assistant Professor, School of Civil Engineering, National Technical Univ. of Athens, 5, Iroon Polytechniou St., Athens GR-15773, Greece. ORCID: https://orcid.org/0000-0001-8522-609X. Email: [email protected]

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