Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies. A Case Study in the Trans-European Transport Network

Guerrieri, Marco

doi:10.1007/s13177-021-00255-4

Cited by 13 publications

(4 citation statements)

References 31 publications

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“…The results of the reference [27] showed that, with the increase of markings' retroreflection, the detection quality and the range of view of Mobil-eye increase. Reference [28] focused on novel smart road geometric design and review criteria to evaluate the impact of the novel system on road capacity and safety, and the case study results indicated that the expected potential percentage improvement in the lane capacity may reach values up to 205% with respect to the current lane capacity. In the reference [29], the impact of the location of the smart road side units (RSUs) on avoiding potential collisions was evaluated for vehicles with different sensor configurations and the results showed that with the support of smart RSUs, the collisions with vulnerable road users (VRUs) can be reduced.…”

Section: Discussionmentioning

confidence: 99%

Study on the Safety Management of Connected and Autonomous Vehicle Test Roads Based on the Evaluation of Traffic Safety Facilities

Zhao,

Wen,

Pan

et al. 2023

PROMTT

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More and more connected and autonomous vehicle (CAV) open test roads reconstructed on the basis of traditional roads have appeared in China. However, the management policies vary, which makes the traffic environment complicated. This paper takes CAV test road safety management as the research aim and investigates the open test condition through the evaluation of the traffic safety facilities. Indicators were rigorously screened, then the game theory model was used to determine the combination weight of the indicators, and the set pair analysis was applied to solve the uncertain problems. A case study for the CAV test road network of a city in central China was implemented and the results show, regarding the traffic safety facilities’ condition, among the 20 sections of the city’s CAV test road network, 15% of which are at an excellent level, 75% of which are at a good level and 10% of which are at a moderate level; road signs, guardrail facilities, isolation facilities and road features are the main limiting factors affecting the level of traffic safety facilities. Based on the results, recommendations have been made for the transport management authorities in the aspects of safety management policy-making and facilities maintenance.

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Section: Discussionmentioning

confidence: 99%

Study on the Safety Management of Connected and Autonomous Vehicle Test Roads Based on the Evaluation of Traffic Safety Facilities

Zhao,

Wen,

Pan

et al. 2023

PROMTT

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“…Future development of this device will allow users to be informed about obstacles in the carriageway, intensity of traffic, congestion phenomena, roadworks, presence of risky curves and vehicles broken down along the road. From this point of view, the "NDBA Tunnel" barrier is a smart device and could be soon integrated into smart road facilities (Guerrieri et al, 2020;Guerrieri, 2021) according to the main objective of the "smart road project" launched by the Italian road operator ANAS in the year 2016.…”

Section: Ndba Concrete Barrier As a Smart Device For Smart Rodsmentioning

confidence: 99%

Improving Traffic Safety in Existing and New Road Tunnels with the Novel NDBA Concrete Safety Barrier

Guerrieri,

Dinnella

2024

Transport and Telecommunication Journal

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Two main elements are essential in terms of road traffic safety. The first element is accident prevention and the second is the minimization of accident severity once a crash has occurred. Concrete safety barriers have very good anti-collision performance against roadside obstacles, relatively modest construction and maintenance costs, and low dynamic deflection and therefore are widely used in tunnels. Thanks to their characteristic redirective profile these barriers can redirect errant vehicles into their original lane after collisions. However insufficient research has been done for increasing the performance of concrete barriers purposely designed for tunnel installations. This research presents the new “NDBA Tunnel” concrete safety barrier designed and constructed by the Italian Road Operator ANAS indicated to be installed in road tunnel sections for safety improvements. In Europe, road safety barriers must be designed in compliance with the European Standard EN 1317. Therefore, the barrier “NDBA Tunnel” was subject to the TB11 and TB81 full-scale crash tests according to the European EN 1317 regulation. The results prove the barrier's ability to absorb impact loads of light and heavy vehicles with a working width W2. Therefore, the NDBA concrete barrier can be installed on existing or new tunnels at a distance less than or equal to 70 cm from the facing of the tunnel wall.

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“…The original design plan is often missing for ramps, making it difficult to assess safety performance. Therefore, a dedicated survey of the geometric elements of highway ramps (i.e., curve radius and curve length, point of curvature (PC), and point of tangent (PT)) after construction is essential for the analysis of safety-relevant issues to guarantee they meet design specifications [6,7]. Efficiently collecting such data helps the competent authorities to take corrective actions in case of design problems.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automatic Extraction of Geometric Elements of Curved Ramps from Google Earth Images

2022

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Generating and updating roadway geometric elements from aerial images is necessary for multiple geospatial information system purposes, which have been addressed through various approaches. However, most existing methods cannot deal with challenges such as differently curved ramp characteristics, whereas measurements of geometric elements are still of low effectiveness and accuracy. This paper presents a new method for the semi-automatic extraction of horizontal parameters of curved highway ramps using Google Earth images. The proposed method first determines a road centerline manually using a graphics editor software; the file is then saved and processed with a program that analyzes and splits the centerline into its basic components. After that, the curvature analysis and linear fitting methods are integrated for automatic PC and PT determination. Finally, at the post-processing stage, the radii of the curves are computed automatically using the least-squares method. The proposed method was tested on four highway ramps and validated by comparison with the obtained design plans. Results show that the proposed method successfully detected the curves’ PC/PT and measured their radii with a high degree of accuracy.

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Smart Roads Geometric Design Criteria and Capacity Estimation Based on AV and CAV Emerging Technologies. A Case Study in the Trans-European Transport Network

Cited by 13 publications

References 31 publications

Study on the Safety Management of Connected and Autonomous Vehicle Test Roads Based on the Evaluation of Traffic Safety Facilities

Study on the Safety Management of Connected and Autonomous Vehicle Test Roads Based on the Evaluation of Traffic Safety Facilities

Improving Traffic Safety in Existing and New Road Tunnels with the Novel NDBA Concrete Safety Barrier

Semi-Automatic Extraction of Geometric Elements of Curved Ramps from Google Earth Images

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