European Speed Environment Model for Highway Design-Consistency

Dell’Acqua, Gianluca

doi:10.5539/mas.v6n9p1

Cited by 6 publications

(6 citation statements)

References 16 publications

(10 reference statements)

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“…Few studies have defined a model for the V des ; of these, some predict maximum desired speeds lower or equal to 100 km/h [63], while others predict maximum speeds above 110 km/h [49,[64][65][66].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Design Consistency for Two-Lane Rural Highways with Low Tortuosity Alignment

Cefalo,

Sluga,

Ossich

et al. 2024

Sustainability

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One technique employed to enhance road safety involves assessing the alignment’s consistency. A prevalent measure of consistency is evaluating speed variations along the alignment. A key consideration in this assessment is determining the speed upon which the road alignment should be based. This research reveals that on two-lane rural highways with low tortuosity alignments, operating speeds on horizontal curves and tangents consistently exceeded not only the design speeds but also the maximum permissible design speed for the road category. Consequently, using the design speed to assess consistency on these roads is deemed impractical, and utilizing operating speed poses challenges due to speeds exceeding the maximum permissible limit. The objectives of this paper are twofold: to explore the relationship between design consistency and safety levels on two-lane rural highways with low tortuosity alignments (which have been insufficiently covered in research) and to propose speed-control measures to limit the maximum operating speed to the maximum permissible speed. The study findings suggest that on roads with a low tortuosity alignment, operating speeds depend much more on the general characteristics of the alignment (evaluated in the operating speed models through the desired speed). Further, assessing speed consistency is feasible only with a rigorous control of the maximum operating speed (desired speed). Additionally, a specific type of speed control is recommended, achieved by limiting the curvature change rate (CCR) of the road section based on the desired speed (environmental speed), whose evaluation becomes a crucial factor.

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Section: Literature Reviewmentioning

confidence: 99%

Assessment of Design Consistency for Two-Lane Rural Highways with Low Tortuosity Alignment

Cefalo,

Sluga,

Ossich

et al. 2024

Sustainability

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show abstract

“…The data [6] were stored in a suitably trained Geographic Information System (GIS) [7]. The road axis was constructed.…”

Section: Data Collection In a Geographic Information System Environmentmentioning

confidence: 99%

Evaluating Freeway Traffic Noise Using Artificial Neural Network

Žilionienė

Luca

Dell’Acqua

et al. 2014

The 9th International Conference "Environmental Engineering 2014"

Self Cite

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In this paper, were conducted a study on the noise produced by traffic on the freeway. In particular, it was rated the Sound Pressure Level Equivalent, resulting from the passage of vehicles on a highway located in southern Italy. It was carried out a number of readings using five sensors Orione Cel 500 Model 573 located close to the highway. The period of data collection lasted about six months and involved a stretch of about 20 km. In addition, the following atmosphere and environmental parameters were detected: Speed and Wind Direction, Temperature, Rainfall, and Traffic Flow. The data, organized and stored in an appropriately trained GIS system, were processed using Artificial Neural Network procedures. The Artificial Neural Network has proved particularly valid in fact, in comparison with the main models in the literature it was the most reliable.

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“…Nowadays, the data sources are mainly of two types: static sensors and probe vehicles equipped with GPS sensors. Static devices are the most traditional traffic detection systems: among these manual counting, but also those that use more advanced technologies such as detection stations, automatic traffic counters, video cameras, radar and laser guns, and traffic sensors, such as microwave radar and acoustic sensors can be found (Ottesen and Krammes, 2000;Hashim, 2011;De Luca, Lamberti and Dell'Acqua, 2012;Dell'Acqua, 2012;Lobo, Rodrigues and Couto, 2013;Bassani et al, 2016;Cantisani, Serrone and Biagio, 2018;Cantisani, Del Serrone and Di Biagio, 2020). These devices are installed in specific sections of the road and sample the traffic flow that passes under them, but do not allow traffic monitoring along the entire development of the route.…”

Section: Introductionmentioning

confidence: 99%

Blending of Floating Car Data and Point-Based Sensor Data to Deduce Operating Speeds under Different Traffic Flow Conditions

Serrone¹

2023

European Transport/Trasporti Europei

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Nowadays, smart mobility can rely on innovative tools for the knowledge of road system conditions, like operating speed data extracted from the so-called Floating Car Data (FCD). Probe vehicles in the traffic flow send to operation centres a large amount of travel information, collected through GPS detection systems, especially with regard to geolocation, date and time, direction and speed. As the sample deriving from these vehicles represents a tiny portion of the entire vehicular fleet, in this paper an analysis and a comparison with data obtained by point-based traffic sensors is proposed. Therefore, the study analyses data collected by inductive loop detectors and microwave radar sensors, that provide information on the entire traffic flow in the time domain, in particular with the aim to identify free flow speed time bands. Afterwards, by means of the fusion between the results obtained from the data coming from these point-based control units and the ones coming from the probe vehicles, a comparison of the operating speeds in the two conditions of constrained and unconstrained traffic flow is performed.

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European Speed Environment Model for Highway Design-Consistency

Cited by 6 publications

References 16 publications

Assessment of Design Consistency for Two-Lane Rural Highways with Low Tortuosity Alignment

Assessment of Design Consistency for Two-Lane Rural Highways with Low Tortuosity Alignment

Evaluating Freeway Traffic Noise Using Artificial Neural Network

Blending of Floating Car Data and Point-Based Sensor Data to Deduce Operating Speeds under Different Traffic Flow Conditions

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