Relevant bibliographies by topics / Traffic circles Research Australia

Academic literature on the topic 'Traffic circles Research Australia'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Traffic circles Research Australia"

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Elugachev, Maxim A., and Pavel A. Elugachev. "Research of schemes and regulation of multi-level traffic circles." SAPR i GIS avtomobilnykh dorog, no. 1(4) (2015): 60–63. http://dx.doi.org/10.17273/cadgis.2015.1.7.

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Satoinong, Laif, Mardijono Mardijono, Shofwan Donny, Norman Ray, and Leonardus Setia Budi. "Analisis Kinerja Dan Manajemen Lalu Lintas pada Bundaran ITS dan Bundaran Mulyosari Kota Surabaya." Ge-STRAM: Jurnal Perencanaan dan Rekayasa Sipil 2, no. 1 (March 31, 2019): 16. http://dx.doi.org/10.25139/jprs.v2i1.1483.

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The aim of this thesis is solving the problem of jamming it happen at ITS roundabout and Mulyosari. In research and management of data, and theory which use is MKJI of 1997. The solving of this thesis needed as traffic light data on existing situation. Then, there are survey data at ITC roundabout and Mulyosari roundabout on 2018. The function of this survey is to know about the real condition performance both of Circles. Finally, both of circles are not effective (Jamming traffic light). Forward, predictions of performance traffic light in 5 years later until 2022 from 2018, finally more not effective. In this thesis gives the solution in case should use the traffic light. Finally, the solution as counting, that both of roundabout about traffic light become effective.
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Tullberg, J. N., D. F. Yule, and D. McGarry. "Controlled traffic farming—From research to adoption in Australia." Soil and Tillage Research 97, no. 2 (December 2007): 272–81. http://dx.doi.org/10.1016/j.still.2007.09.007.

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Chamen, Tim. "Controlled Traffic Farming – From Worldwide Research To Adoption In Europe And Its Future Prospects." Acta Technologica Agriculturae 18, no. 3 (September 1, 2015): 64–73. http://dx.doi.org/10.1515/ata-2015-0014.

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Abstract Controlled traffic farming is a machinery management system that confines all field vehicles to the least possible area of permanent traffic lanes. It has developed in response to research evidence of widespread soil damage from compaction due to field traffic. The history of research on soil compaction is explored and found to be a relatively new phenomenon. Controlled traffic farming as a topic for research did not appear until the 1980s although its principles and benefits were well established before then. Research expanded over the next decades but changed subtly to more reviews on the topic as well as emphasis on environmental deliverables and some economics studies. Few if any researchers attempted to develop on-farm systems using existing machinery until the mid 1990s when a small and dedicated team in Australia encouraged farmers to experiment. This quickly led to rapid expansion across the continent to its present day c. 13% of the cropped area. Despite changes to extension services in northern Europe at around the turn of the century and a move to subsidiarity, this did not alter the model of controlled traffic adoption. This followed a similar pattern to that in Australia involving individuals rather than organizations.
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Nguyen-Phuoc, Duy Q., Graham Currie, Chris De Gruyter, and William Young. "Net Impacts of Streetcar Operations on Traffic Congestion in Melbourne, Australia." Transportation Research Record: Journal of the Transportation Research Board 2648, no. 1 (January 2017): 1–9. http://dx.doi.org/10.3141/2648-01.

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Public transit is widely recognized to reduce urban traffic congestion, as it encourages automobile travelers off the road. However, streetcars have been criticized for causing traffic congestion because large trams must operate in mixed traffic on narrow, congested streets. At the same time, streetcars reduce congestion by encouraging automobile drivers to use trams. So what is the net effect of streetcars on congestion? This paper presents a new method for assessing the net traffic congestion effects associated with streetcar operations in Melbourne, Australia, which has the largest streetcar network in the world. Impacts were determined with the use of a traffic network model to compare congestion with trams and without trams. The positive impacts of trams were estimated by using mode shift from tram to automobile when tram services were removed. Negative impacts were explored by considering streetcar traffic operations, the impact of curbside tram stops, and the effect of exclusive priority tram lanes on traffic flow. Findings show that the streetcar network in inner Melbourne results in a net congestion benefit to traffic; a 3.4% decrease in vehicle time traveled and total delay on the road network was established. The streetcar network also contributes to reducing the number of moderately congested links by 16%. Areas for future research are suggested, such as exploring the spatial distribution of the mode shift to automobile and the long-term effect of trams on traffic.
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Qi, Yanmin, Zuduo Zheng, and Dongyao Jia. "Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia." Sustainability 12, no. 14 (July 11, 2020): 5596. http://dx.doi.org/10.3390/su12145596.

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The impact of inclement weather on traffic flow has been extensively studied in the literature. However, little research has unveiled how local weather conditions affect real-time traffic flows both spatially and temporally. By analysing the real-time traffic flow data of Traffic Signal Controllers (TSCs) and weather information in Brisbane, Australia, this paper aims to explore weather’s impact on traffic flow, more specifically, rainfall’s impact on traffic flow. A suite of analytic methods has been applied, including the space-time cube, time-series clustering, and regression models at three different levels (i.e., comprehensive, location-specific, and aggregate). Our results reveal that rainfall would induce a change of the traffic flow temporally (on weekdays, Saturday, and Sunday and at various periods on each day) and spatially (in the transportation network). Particularly, our results consistently show that the traffic flow would increase on wet days, especially on weekdays, and that the urban inner space, such as the central business district (CBD), is more likely to be impacted by inclement weather compared with other suburbs. Such results could be used by traffic operators to better manage traffic in response to rainfall. The findings could also help transport planners and policy analysts to identify the key transport corridors that are most susceptible to traffic shifts in different weather conditions and establish more weather-resilient transport infrastructures accordingly.
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Wesumperuma, Ashini, Athula Ginige, and Upul Gunawardana. "Towards formation of dynamic value chains to enhance competitiveness of commercial lighting industry." Journal of Information, Communication and Ethics in Society 16, no. 4 (November 12, 2018): 427–44. http://dx.doi.org/10.1108/jices-03-2018-0023.

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Purpose This study aims to explore ways to enhance competitiveness of commercial lighting industry because of the growing digitally connected stakeholder community. Positive responses from stakeholders to recurring business interactions help build trust and formation of a community; value chains being one form of such trusted community. Because of the increasing trust, the effort to search right value chain partners diminishes, business interactions become less formal and transaction costs are reduced, thus increasing the competitiveness. Design/methodology/approach In this research, a cross-sectional study of commercial lighting industry domain in Australia was carried out, focusing on two states: New South Wales and Victoria. Based on the findings, an approach and a supporting platform to enhance competitiveness of commercial lighting industry were synthesized. Findings Based on the findings from the study, formation of such value chains, namely, “Entrusted Circles” and its two types of formations, fully and partial, were observed. Their further growth was hindered by high transaction costs. To reduce this transaction cost, this paper proposes a platform to create dynamic value chains, among stakeholders of commercial lighting industry, making use of growing digital connectivity leading toward agile formation of Entrusted Circles to enhance competitiveness. Research limitations/implications This study focuses on the commercial lighting industry in Australia, which is not tested in any other domain to investigate its wider applicability. However, it is conceptually applicable to be used in industries with compliance and standard procedures. Originality/value This paper shows how to identify Entrusted Circles and build, support and sustain such relationships among value chain partners to successfully conduct business transactions in a dynamic value chain.
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Sun, Qiuxia, Yixin Sun, Lu Sun, Qing Li, Jianli Zhao, Yu Zhang, and Hao He. "Research on traffic congestion characteristics of city business circles based on TPI data: The case of Qingdao, China." Physica A: Statistical Mechanics and its Applications 534 (November 2019): 122214. http://dx.doi.org/10.1016/j.physa.2019.122214.

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Chand, Sai, Emily Moylan, S. Travis Waller, and Vinayak Dixit. "Analysis of Vehicle Breakdown Frequency: A Case Study of New South Wales, Australia." Sustainability 12, no. 19 (October 7, 2020): 8244. http://dx.doi.org/10.3390/su12198244.

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Traffic incidents such as crashes, vehicle breakdowns, and hazards impact traffic speeds and induce congestion. Recognizing the factors that influence the frequency of these traffic incidents is helpful in proposing countermeasures. There have been several studies on evaluating crash frequencies. However, research on other incident types is sparse. The main objective of this research is to identify critical variables that affect the number of reported vehicle breakdowns. A traffic incident dataset covering 4.5 years (January 2012 to June 2016) in the Australian state of New South Wales (NSW) was arranged in a panel data format, consisting of monthly reported vehicle breakdowns in 28 SA4s (Statistical Area Level 4) in NSW. The impact of different independent variables on the number of breakdowns reported in each month–SA4 observation is captured using a random-effect negative binomial regression model. The results indicate that increases in population density, the number of registered vehicles, the number of public holidays, average temperature, the percentage of heavy vehicles, and percentage of white-collared jobs in an area increase the number of breakdowns. On the other hand, an increase in the percentage of unrestricted driving licenses and families with children, number of school holidays, and average rainfall decrease the breakdown frequency. The insights offered in this study contribute to a complete picture of the relevant factors that can be used by transport authorities, vehicle manufacturers, sellers, roadside assistance companies, and mechanics to better manage the impact of vehicle breakdowns.
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O’Hern, Steve, Nora Estgfaeller, Amanda Stephens, and Sergio Useche. "Bicycle Rider Behavior and Crash Involvement in Australia." International Journal of Environmental Research and Public Health 18, no. 5 (March 1, 2021): 2378. http://dx.doi.org/10.3390/ijerph18052378.

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This research investigated how behaviours and attitudes of bicycle riders influence crash frequency and severity. The study recruited 1102 Australian bicycle riders for an online survey. The survey comprised questions on demographics, frequency of riding and the number and severity of traffic crashes during the last five years. The survey included the Cycling Behaviour Questionnaire and the Cyclist Risk Perception and Regulation Scale. Overall, there were low levels of errors and violations reported by participants indicating that these behaviours were on average never or rarely exhibited while riding a bicycle. Conversely, participants reported high levels of engagement in positive behaviours and reported high levels of traffic rule knowledge and risk perception. Higher rates of violations and errors were associated with increased crash likelihood, while higher rates of positive behaviours were associated with reduced rates of crash involvement in a period of 5 years. The findings highlight the relationship between errors, total crashes and crash severity Further promotion of positive behaviours amongst riders may also help to reduce the risk of crashes.
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Books on the topic "Traffic circles Research Australia"

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Conference, Australian Road Research Board. 16th ARRB Conference, Perth, Western Australia, 9-12 November 1992: Proceedings. Vermont South, Vic., Australia: Australian Road Research Board Ltd., 1992.

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Beel, Andrea. The introduction of 0.05 legislation in Western Australia: A preliminary research report. Bentley, WA: Curtin University of Technology, National Centre for Research into the Prevention of Drug Abuse, 1993.

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The Design of Roundabouts (Transport Research Laboratory State of the Art Review). Stationery Office Books, 1996.

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Pauline, Arnold, ed. Road user skill: Judgement of hazard by pedestrians : report of research funded by the Federal Office of Road Safety. Perth, W.A: Institute for Research into Safety and Transport, Murdoch University, 1994.

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ARRB Conference (22nd : 2006 : Canberra, Australia), ed. 22nd ARRB conference: Research into practice : 29 October - 2 November 2006, Canberra, Australia : proceedings. [Vermont South, Vic.]: ARRB Group Ltd and Authors, 2006.

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Book chapters on the topic "Traffic circles Research Australia"

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Chin, Hoong-Chor, and Yueying Wang. "Smart, Sustainable, and Safe Urban Transportation Systems." In Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities, 239–65. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8282-5.ch012.

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One of the fastest growing areas in the world is the Asia-Pacific region. With anticipated acceleration in motorization and potentially-damaging unplanned urban sprawl, the region will be threatened by problems of traffic congestion, pollution and road hazards. Several countries in the region have taken a variety of proactive measures to ensure that the urban transportation systems are designed and operated in a smart, sustainable and safe manner. This chapter identifies the policies and practices in South Korea, Japan, China, Taiwan, Singapore and Australia, and seeks to draw lessons from these on how transportation schemes can be implemented elsewhere in Asia.
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"Bikeability in Metropolitan Areas." In Big Data Analytics in Traffic and Transportation Engineering, 26–44. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch002.

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There have been several techniques for measuring bikeability; however, limited comprehensive research has been conducted focusing on travel distance as an important barrier for cyclists. Furthermore, existing measurements are mainly restricted by the availability of travel behaviour data. In this chapter, a new index for measuring bikeability in metropolitan areas is presented. The Cycling Accessibility Index (CAI) has been developed for computing cycling accessibility within Melbourne metropolitan, Australia. The CAI is defined consistent with gravity-based measures of accessibility. This index measures cycling accessibility levels considering mixed use developments as well as travel distance between origins and destinations. The Victorian Integrated Survey of Travel and Activity (VISTA) dataset was used to assess the proposed index and investigate the association between cycling accessibility levels and number of bicycle trips in local areas. Key findings indicate that there is a significant positive association between bicycle trips and the CAI.
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Mahbub, Parvez, Godwin Ayoko, Prasanna Egodawatta, Tan Yigitcanlar, and Ashantha Goonetilleke. "Traffic and Climate Change Impacts on Water Quality." In Green Technologies, 1804–23. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-472-1.ch716.

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Understanding the impacts of traffic and climate change on water quality helps decision makers to develop better policy and plans for dealing with unsustainable urban and transport development. This chapter presents detailed methodologies developed for sample collection and testing for heavy metals and total petroleum hydrocarbons, as part of a research study to investigate the impacts of climate change and changes to urban traffic characteristics on pollutant build-up and wash-off from urban road surfaces. Cadmium, chromium, nickel, copper, lead, iron, aluminium, manganese and zinc were the target heavy metals, and selected gasoline and diesel range organics were the target total petroleum hydrocarbons for this study. The study sites were selected to encompass the urban traffic characteristics of the Gold Coast region, Australia. An improved sample collection method referred to as ‘the wet and dry vacuum system’ for the pollutant build-up, and an effective wash-off plan to incorporate predicted changes to rainfall characteristics due to climate change, were implemented. The novel approach to sample collection for pollutant build-up helped to maintain the integrity of collection efficiency. The wash-off plan helped to incorporate the predicted impacts of climate change in the Gold Coast region. The robust experimental methods developed will help in field sample collection and chemical testing of different stormwater pollutants in build-up and wash-off. 
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"Measuring Public Transport Accessibility in Metropolitan Area." In Big Data Analytics in Traffic and Transportation Engineering, 1–25. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch001.

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Improving access to public transport can be considered an effective way of reducing the negative side-effects of motorised commuting. This chapter used the large dataset of Victorian Integrated Survey of Travel and Activity (VISTA) to introduce a new approach measuring public transport accessibility within the Melbourne region, Australia. A public transport accessibility index (PTAI) is a combined measure of public transport service frequency and population density as an important distributional indicator. Although many studies have measured access levels to public transport stops/stations, there has been limited research on accessibility that integrates population density within geographical areas. Employing geographical information system (GIS), a consistent method is introduced for evaluating public transport accessibility for different levels of analysis, from single elements, including public mode stops, to network analysis. The proposed index is compared with two common existing approaches using regression models. Key findings indicate that the PTAI has a stronger association whilst showing more use of public transport in areas with higher values of the PTAI.
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"Applying Decision Tree Approaches on Vehicle-Pedestrian Crashes." In Big Data Analytics in Traffic and Transportation Engineering, 67–101. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7943-4.ch004.

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In the Melbourne metropolitan area in Australia, an average of 34 pedestrians were killed in traffic accidents every year between 2004 and 2013, and vehicle-pedestrian crashes accounted for 24% of all fatal crashes. Mid-block crashes accounted for 46% of the total pedestrian crashes in the Melbourne metropolitan area and 49% of the pedestrian fatalities occurred at mid-blocks. Many studies have examined factors contributing to the frequency and severity of vehicle-pedestrian crashes. While many of the studies have chosen to focus on crashes at intersections, few studies have focussed on vehicle-pedestrian crashes at mid-blocks. Since the factors contributing to vehicle crashes at intersections and mid-blocks are significantly different, more research needs to be done to develop a model for vehicle-pedestrian crashes at mid-blocks. In order to identify factors contributing to the severity of vehicle-pedestrian crashes, three models using different decision trees (DTs) were developed. To improve the accuracy, stability, and robustness of the DTs, bagging and boosting techniques were used in this chapter. The results of this study show that the boosting technique improves the accuracy of individual DT models by 46%. Moreover, the results of boosting DTs (BDTs) show that neighbourhood social characteristics are as important as traffic and infrastructure variables in influencing the severity of pedestrian crashes.
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Petersson, Lars, Luke Fletcher, Nick Barnes, and Alexander Zelinsky. "Smart Cars." In Computational Intelligence and its Applications, 120–56. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-827-7.ch005.

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This chapter gives an overview of driver assistance systems (DAS) in general and the Smart Cars project in particular. In the Driver Assistance Systems Section, a set of key competencies for an effective DAS are identified by comparing with a human co-pilot, namely, traffic situation monitoring, driver’s state monitoring, vehicle state monitoring, communication with the driver, vehicle control, and a reasoning system. It is also recognised that such a system must be intuitive, non-intrusive and override-able. A few of the currently available commercial systems are mentioned in the following section. The Smart Cars project, which is a joint project between the Australian National University and National ICT Australia, is then introduced. A number of different research directions within the project are then presented in detail: obstacle detection and tracking, speed sign detection and recognition, pedestrian detection, and blind spot monitoring.
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Lynch, Kate, Daniel T. H. Lai, and Rezaul Begg. "Detection of Gait Patterns in Challenging Environments." In Encyclopedia of Healthcare Information Systems, 425–33. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-889-5.ch054.

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One in three individuals over the age of 65 years (elderly) will fall at least once a year (James, 1993). This probability increases to one in two adults over 80 years (DHA, 2005). Consequently, gait modifications associated with ageing have been linked with increased falls’ probability (Berg, Alessio, Mills, & Tong, 1997; Lord, Sherrington, & Menz, 2001). Despite an increasing research interest in recent times into the aetiology of falls, particularly in the elderly (>65 years), falls continue to be a major public health concern in Australia and worldwide. Fall-related injuries are the leading cause of accidental death in the elderly population, and account for the largest cause of hospitalisation for this population (Lord et al., 2001), with many elderly individuals experiencing physical, social, or functional ramifications following a fall. Consequently, the economic cost of falls to the public health system is escalating, with the total cost of fall injuries reported to be higher than road traffic injuries (DOH, 2004). The majority of falls associated costs include physician consultation, hospital stays, nursing homecare, rehabilitation, medical equipment, home modification and care, community based services, and prescription drugs and administration (DOH, 2004; Lord et al., 2001). Healthcare and related costs associated with falls are expected to double over the next 50 years (Close & Lord, 2006).
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