Low-Volume Roads and Road Safety Audits

Groß, Frank; Eccles, Kimberly; Nabors, Daniel

doi:10.3141/2213-06

Cited by 11 publications

(8 citation statements)

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“…In this study, LVRs are defined as rural roads with annual average daily traffic equal to or less than 1000 vehicles per day (vpd). This definition is consistent with that used in a few other studies found in the literature [2,3].…”

Section: Introductionsupporting

confidence: 88%

Network Screening on Low-Volume Roads Using Risk Factors

Huda,

Al-Kaisy

2024

Future Transportation

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This paper proposes a new method for network screening on rural low-volume roads. These roads are important as they provide critical access to agricultural land and tourist attractions. Most low-volume roads belong to the lowest functional class (local rural roads) and thus are built to lower design standards. Conventional hot spot network screening techniques may not be appropriate for low-volume roads due to the sporadic nature of crashes occurring on these roads. Conversely, sophisticated network screening approaches require extensive roadway and traffic data that are often unavailable to local agencies due to a lack of resources, and/or a lack of technical expertise. This research attempts to address these obstacles to low-volume road network screening which aims to identify candidate sites for safety improvements. The research used an extensive low-volume road sample from the state of Oregon and Empirical Bayes expected number of crashes in developing the proposed models for network screening. The proposed models do not require exact measurements of roadway geometric features as all geometric variables were classified into categories that are easy to compile by local agencies. Further, the method could be used with and without traffic data, without compromising the effectiveness of the network screening process.

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Section: Introductionsupporting

confidence: 88%

Network Screening on Low-Volume Roads Using Risk Factors

Huda,

Al-Kaisy

2024

Future Transportation

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“…In this study, low-volume roads are defined as rural two-lane highways with Average Annual Daily Traffic (AADT) equal to or less than 1000 vehicles per day. This is consistent with a few other studies that used the same definition in the literature [27,28]. Approximately a total of 850 miles representing 200 segments of state-owned and operated low-volume roads were used in this analysis.…”

Section: Low-volume Roads Analysissupporting

confidence: 79%

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

Dhakal,

Al-Kaisy

2024

Sustainability

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Road safety is considered one of the fundamental factors for sustainable mobility, which requires establishing effective highway safety management programs and processes. Identifying safety improvement sites (network screening) is a critical step in the state roadway safety programs. The overall effectiveness of these programs largely relies on the robustness of the network screening method in identifying sites with high potential for safety improvements. This study investigates the network screening performance of a new proposed methodology that employs heuristic scoring schemes to account for roadway and roadside characteristics, crash history, and traffic exposure. The new method, originally proposed for use on rural low-volume roads, is simplistic in that it does not require exact and detailed information on traffic and geometric characteristics and can still be applied in the absence of crash data. The performance evaluation is conducted using a sample of 1495 miles of rural two-lane highway segments in Oregon. The effectiveness of the proposed method is assessed using observed crash history and compared to the well-established Empirical Bayes method as a reference. The effect of traffic level on the performance of the proposed method was evaluated using separate analyses for lower and higher traffic volume segments. The study findings indicate that the effectiveness of the proposed method in identifying sites with potential safety improvements is overall high and slightly exceeded that of the more sophisticated and data-intensive Empirical Bayes method. When data were stratified by traffic volume, the proposed method was found to be more effective for lower volume roads; however, the Empirical Bayes method outperformed the proposed method for higher volume roads.

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“…The remoteness of rural roads poses three main challenges to CAVs. Firstly, rural roads such as county roads may be subject to poor maintenance and often lack detectable lane markings (41). Secondly, rural areas often lack reliable cellular coverage, which prevents long-range communications (16,17).…”

Section: Methodsmentioning

confidence: 99%

Evaluating Safety Benefits of Vehicle-to-Everything Sensor Sharing on Rural Highways Using the Microscopic Simulation Model

Cazares

Damnjanović

2022

Transportation Research Record: Journal of the Transportation R

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Safety is a critical aspect of transportation design and operations. Practitioners utilize various references to ensure that roadways meet safety, operational, and sustainability requirements. Despite this, human error remains as a contributing factor toward unsafe driving behavior and potential crashes. Connected and autonomous vehicles (CAVs) have the potential to enhance traffic safety and operations. Although sensor perception ranges and capabilities pose challenges, the sharing of information via Vehicle-to-Everything (V2X) communication provides CAVs with a potential solution for overcoming sensor limitations. The objective of this study is to use the Simulation of Urban Mobility software to assess safety impacts when using V2X to share sensor-obtained roadway information with a CAV. To this end, this study proposes a novel method for simulating driver behavior that combines car following with consideration of the roadway’s geometric configuration. Several scenarios are utilized to observe the behavior of simulated drivers on a straight tangent approaching a sharp horizontal curve. This study evaluates driver performance using the measured values for longitudinal jerk, lateral jerk, and speed variance. The results of this study indicate that V2X sensor sharing can provide significant benefits to CAV performance and can reduce the safety risk. CAVs receiving sensor-obtained information behave in a manner more akin to their human-driven counterparts in comparison to those receiving basic safety messages. CAVs using sensor-obtained information maintain braking and lateral jerk values within safety thresholds. In addition, speed variance was at its lowest when CAVs utilized V2X sensor information.

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Low-Volume Roads and Road Safety Audits

Cited by 11 publications

References 0 publications

Network Screening on Low-Volume Roads Using Risk Factors

Network Screening on Low-Volume Roads Using Risk Factors

An Empirical Evaluation of a New Heuristic Method for Identifying Safety Improvement Sites on Rural Highways: An Oregon Case Study

Evaluating Safety Benefits of Vehicle-to-Everything Sensor Sharing on Rural Highways Using the Microscopic Simulation Model

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