Performance Comparison of Various Chicane Types: A Driving Simulator Study

Aydın, Metin Mutlu; Günay, Banihan; Akgol, Kadir

doi:10.1007/s40999-019-00435-0

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…All three traffic-calming measures contributed to a reduction in crashes of more than 30%. Similar results were obtained by Aydin et al [24]; they conducted a study to classify and compare the safety performance of various types of chicanes located on two-and four-lane streets using a driving simulator. The operational performance of TCMs, such as flat-topped humps, single bumps, and double bumps located on arterial roads, was examined using video cameras and speed radar guns [25].…”

Section: Related Researchsupporting

confidence: 80%

Evaluating Traffic-Calming-Based Urban Road Design Solutions Featuring Cooperative Driving Technologies in Energy Efficiency Transition for Smart Cities

Tumminello,

Macioszek,

Granà

et al. 2023

Energies

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Traffic-calming measures (TCMs) are non-invasive devices designed to improve road mobility and urban areas on a human scale. Despite their potential, they have been in use for a long time and now have to deal with the latest technological innovations in the automotive field, such as cooperative driving technologies (CDTs), to improve energy efficiency in cities. The goal of this study is to explore the safety and operational performances of TCMs featuring CDTs in urban areas. An urban-scale road network close to a seaside area in the City of Mazara del Vallo, Italy, was properly redesigned and simulated in AIMSUN to assess several design solutions, where connected and automated vehicles (CAVs) have been employed as a more energy-efficient public transportation system. Preliminarily, the fine-tuning process of model parameters included CAVs and human-operated vehicles (HOVs) flowing through the network up to saturation conditions. The safety of the planned solutions was tested by using surrogate measures. The micro-simulation approach allowed us to know in advance and compare the operational and safety performances of environmentally friendly solutions involving TCMs and CDTs. These results can also support urban road decision makers in pivoting urban-traffic-calming-based design solutions featuring cooperative driving technologies toward energy efficiency transitions for smart cities.

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Section: Related Researchsupporting

confidence: 80%

Evaluating Traffic-Calming-Based Urban Road Design Solutions Featuring Cooperative Driving Technologies in Energy Efficiency Transition for Smart Cities

Tumminello,

Macioszek,

Granà

et al. 2023

Energies

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“…Ordinary Least Squares (OLS) regression is one of the most common prediction and modeling techniques in different research areas. The technique is most commonly used to examine and evaluate the relationship between a response variable and more than one explanatory variable (Mert, 2016;Aydin et al, 2019). It can be used in single and multiple explanatory and categorical variables (Aydin, 2020).…”

Section: Modeling Of Boarding Times Using Ols Regressionmentioning

confidence: 99%

The modeling of effective parameters on public bus passengers’ boarding time prediction

Aydın¹

2021

JER is an international, peer-reviewed journal that publishes f

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Passengers’ boarding times at bus stops have a great importance to calculate dwell and travel time for scheduling process in public transport operations. However, there are not so much observed boarding times data in the actual bus transport systems and it may cause some prediction problems in scheduling process of public transport operations. For this reason, accurate estimation of the boarding times will ensure correct calculation of dwell and total travel time for bus transport systems. Based on this idea, this study aims to model boarding times of each passengers by evaluating different parameters using two different (statistical and optimization analysis) methods. For this purpose, a comprehensive data collection process was conducted in total seven different cities of Turkey based upon their population. Two new models were developed for boarding time estimation by evaluating various parameters using a multiple Ordinary Least Square (OLS) regression and Artificial Bee Colony (ABC) algorithm as statistical and optimization methods, respectively. Study results showed that modeling of boarding times by considering various parameters is an effective strategy to improve the performance of bus transport systems by using developed two models

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“…Given the limited success of physical speed countermeasures such as chicanes and speed bumps [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ], advanced in-vehicle driver assist technologies that can influence travel speed, such as ISA, are expected to bring significant reductions in road trauma [ 30 , 31 , 32 , 33 ] by informing drivers of the posted speed limit for the road they are travelling on. ISA technology commonly uses vehicle-mounted sign recognition cameras and a GPS-linked speed limit database to display the legal speed limit on the dashboard.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Foregone Benefits of Intelligent Speed Assist Due to the Limited Availability of Speed Signs across Three Australian States

Peiris

Newstead

Berecki‐Gisolf

et al. 2022

Sensors

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By being able to communicate the speed limit to drivers using speed sign recognition cameras, Intelligent Speed Assist (ISA) is expected to bring significant road safety gains through increased speed compliance. In the absence of complete digital speed maps and due to limited cellular connectivity throughout Australia, this study estimated the forgone savings of ISA in the event that speed signs are solely relied upon for optimal advisory ISA function. First, speed-related fatalities and serious injuries (FSI) in the Australian states of Victoria, South Australia, and Queensland (2013–2018) were identified, and published effectiveness estimates of ISA were applied to determine the potential benefits of ISA. Subsequently, taking into account speed sign presence across the three states, the forgone savings of ISA were estimated as FSI that would not be prevented due to absent speed signage. Annually, 27–35% of speed-related FSI in each state are unlikely to be prevented by ISA because speed sign infrastructure is absent, equating to economic losses of between AUD 62 and 153 million. Despite a number of assumptions being made regarding ISA fitment and driver acceptance of the technology, conservative estimates suggest that the benefits of speed signs placed consistently across road classes and remoteness levels would far outweigh the costs expected from the absence of speed signs. The development and utilisation of a methodology for estimating the foregone benefits of ISA due to suboptimal road infrastructure constitutes a novel contribution to research. This work provides a means of identifying where infrastructure investments should be targeted to capitalise on benefits offered by advanced driver assist technologies.

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Performance Comparison of Various Chicane Types: A Driving Simulator Study

Cited by 6 publications

References 33 publications

Evaluating Traffic-Calming-Based Urban Road Design Solutions Featuring Cooperative Driving Technologies in Energy Efficiency Transition for Smart Cities

Evaluating Traffic-Calming-Based Urban Road Design Solutions Featuring Cooperative Driving Technologies in Energy Efficiency Transition for Smart Cities

The modeling of effective parameters on public bus passengers’ boarding time prediction

Quantifying the Foregone Benefits of Intelligent Speed Assist Due to the Limited Availability of Speed Signs across Three Australian States

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