Bluetooth vehicle trajectory by fusing Bluetooth and loops : motorway travel time statistics

Loop detectors are widely used on the motorway networks where they provide point speed and traffic volumes. Models have been proposed for temporal and spatial generalization of speed for average travel time estimation. Advancement in technology provides complementary data sources such as Bluetooth MAC Scanner (BMS), detecting the MAC ID of the Bluetooth devices transported by the traveller. Matching the data from two BMS stations provides individual vehicle travel time. Generally, on the motorways loops are closely spaced, whereas BMS are placed few kilometres apart. In this research, we fuse BMSs and loops data to define the trajectories of the Bluetooth vehicles. The trajectories are utilised to estimate the travel time statistics between any two points along the motorway. The proposed model is tested using simulation and validated with real data from Pacific motorway, Brisbane. Comparing the model with the linear interpolation based trajectory provides significant improvements.

Public transport travel time variability definitions and monitoring

Public Transport Travel Time Variability (PTTV) is essential for understanding the deteriorations in the reliability of travel time, optimizing transit schedules and route choices. This paper establishes the key definitions of PTTV in which firstly include all buses, and secondly include only a single service from a bus route. The paper then analyzes the day-to-day distribution of public transport travel time by using Transit Signal Priority data. A comprehensive approach, using both parametric bootstrapping Kolmogorov-Smirnov test and Bayesian Information Creation technique is developed, recommends Lognormal distribution as the best descriptor of bus travel time on urban corridors. The probability density function of Lognormal distribution is finally used for calculating probability indicators of PTTV. The findings of this study are useful for both traffic managers and statisticians for planning and analyzing the transit systems.

Invasive and metastatic properties of MCF-7 cells and ras(H)-transfected MCF-7 cell lines

In vitro invasion and in vivo metastasis assays were performed with a panel of MCF-7 cells transfected with isogenic constructs of mutated ras(H) genes. Both increased levels of ras(H) expression and ras(H) oncogene activation increased activity of derivative cell lines in in vitro invasion assays. In vivo formation of spontaneous metastases was assessed after intradermal inoculation of MCF-7 cells in the vicinity of the mammary fat pads of ovariectomized nude mice. No metastases were seen in the absence of estradiol treatment of the mice. With estradiol supplementation of the mice both the ras(H)-transfected and control transfected cell lines gave a higher incidence of metastases than parental MCF-7 cells. Prolonged treatment of mice with exogenous estradiol (60 days vs. 21 days) resulted in more frequent metastases to liver and lung at the end of the 90-day observation period. In contrast to activated ras(H)-gene enhancement of metastatic capacity of rodent fibroblast and epithelial cell lines, there was no correlation of ras(H) expression with in vivo metastatic capacity of a human mammary carcinoma cell line.

Creative Work Beyond the Creative Industries: An Introduction

Creative occupations exist across the entire economy. The creative worker’s habitus cannot be discovered by looking only in film studios, games companies or artist’s garrets. Work practices, evolved through the traditions of the creative and performing arts, are now deployed to create new services and products across all sectors, to develop process innovations, and to change the distribution thereof. Yet the bulk of academic study of creative work (both functionalist and critical), as well as the content of higher/further professional education programs and everyday understanding of creative workers, focuses on one subset of the Creative Industries: those involved in the production of cultural goods or services (film, television, music etc.) for consumption by the general public. And further, the bulk of existing academic work focuses on those creative workers employed in cultural production industries. However, as recent work has shown, this focus misses both the large (and increasing) number of creative workers embedded in industries beyond the core Creative Industries (for example, manufacturing, banking, mining) and those creative workers and firms that supply services to business as well as to the general public, such as architects, technical writers, and graphic designers (see Cunningham 2013; Potts and Cunningham 2008; Potts, Cunningham, Hartley and Omerod 2008). This book focuses on this subset of very important, and yet under-recognized creative workers: embedded creative workers and providers of creative services into other sectors of the economy, as indicated in the following taxonomy (Figure 1.1), which juxtaposes occupation and industry sector...

Embedded creatives in Australian healthcare: An update

The contribution of creative occupations to Australian healthcare was examined using a mix of statistics and case studies. Creative occupations were found to be making widespread contributions in healthcare, in particular, to the development and delivery of healthcare goods and services, the initial training and ongoing professionalism of doctors and nurses and the effective functioning of healthcare buildings. Within most facets of healthcare, increasing employment over the period examined indicated that these contributions were growing. Key functions that creative activities addressed were information management and analysis and making complex information comprehensible, assisting communication and reducing psycho-social and distance-mediated barriers, and improving the efficiency and effectiveness of services.

Embedded creatives in the Australian manufacturing industry

According to 2011 Australian Census figures, embedded creative employees (creative employees not working in the core Creative Industries) make up 2 per cent (or a total of 17 635) of manufacturing industry employees. The average for all industries is 1.6 per cent. In the 2011–2012 financial year the manufacturing industry formed 7.3 per cent of Australia’s gross domestic product (GDP), contributing approximately AU$106.5 billion to the economy (Department of Industry, Innovation, Science, Research and Tertiary Education 2013). Manufacturing is central to innovation, accounting for over one-quarter of all business expenditure in R&D in 2010–2011, representing around AU$4.8 billion invested in R&D (ibid.). Facing challenges such as sustainability concerns, ever-increasing offshore production and the global financial crisis, the Australian manufacturing industry needs to remain relevant and competitive to succeed. Innovation is one way to do this. Given the contribution of the manufacturing industry to the Australian economy, and the above-average portion of embedded creatives in manufacturing, it is important to consider what exactly embedded creatives add to the industry. This chapter, inspired by the Getting Creative in Healthcare report (Pagan, Higgs and Cunningham 2008), examines the contribution of embedded creatives to innovation in the manufacturing industry via case studies and supplemental data.

Noisy Bluetooth traffic data?

Traffic state estimation in an urban road network remains a challenge for traffic models and the question of how such a network performs remains a difficult one to answer for traffic operators. Lack of detailed traffic information has long restricted research in this area. The introduction of Bluetooth into the automotive world presented an alternative that has now developed to a stage where large-scale test-beds are becoming available, for traffic monitoring and model validation purposes. But how much confidence should we have in such data? This paper aims to give an overview of the usage of Bluetooth, primarily for the city-scale management of urban transport networks, and to encourage researchers and practitioners to take a more cautious look at what is currently understood as a mature technology for monitoring travellers in urban environments. We argue that the full value of this technology is yet to be realised, for the analytical accuracies peculiar to the data have still to be adequately resolved.

All-environment visual place recognition with SMART

This paper presents Sequence Matching Across Route Traversals (SMART); a generally applicable sequence-based place recognition algorithm. SMART provides invariance to changes in illumination and vehicle speed while also providing moderate pose invariance and robustness to environmental aliasing. We evaluate SMART on vehicles travelling at highly variable speeds in two challenging environments; firstly, on an all-terrain vehicle in an off-road, forest track and secondly, using a passenger car traversing an urban environment across day and night. We provide comparative results to the current state-of-the-art SeqSLAM algorithm and investigate the effects of altering SMART’s image matching parameters. Additionally, we conduct an extensive study of the relationship between image sequence length and SMART’s matching performance. Our results show viable place recognition performance in both environments with short 10-metre sequences, and up to 96% recall at 100% precision across extreme day-night cycles when longer image sequences are used.