Duplicating road patterns in South African informal settlements using procedural techniques

The formation of informal settlements in and around urban complexes has largely been ignored in the context of procedural city modeling. However, many cities in South Africa and globally can attest to the presence of such settlements. This paper analyses the phenomenon of informal settlements from a procedural modeling perspective. Aerial photography from two South African urban complexes, namely Johannesburg and Cape Town is used as a basis for the extraction of various features that distinguish different types of settlements. In particular, the road patterns which have formed within such settlements are analysed, and various procedural techniques proposed (including Voronoi diagrams, subdivision and L-systems) to replicate the identified features. A qualitative assessment of the procedural techniques is provided, and the most suitable combination of techniques identified for unstructured and structured settlements. In particular it is found that a combination of Voronoi diagrams and subdivision provides the closest match to unstructured informal settlements. A combination of L-systems, Voronoi diagrams and subdivision is found to produce the closest pattern to a structured informal settlement.

Challenges of multimedia self-presentation : taking, and mistaking, the show on the road

One privilege enjoyed by new-media authors is the opportunity to realize representations of Self that are rich textual worlds in themselves and also to engage the wider world, with a voice, a smile, imagery, and sound. Still, closer investigation of multimedia composition practices reveals levels of complexity with which the verbal virtuoso is unconcerned. This article argues that while technology-afforded multimedia tools make it comparatively easy to author a vivid text, it is a multiplicatively more complicated matter to vividly realize and publicize an authorial intention. Based on analysis of the digital story creation process of a youth named “Steven,” the authors attempt to demonstrate the operation of two forces upon which the successful multimodal realization of the author's intention may hinge: “fixity” and “fluidity.” The authors show how, within the process of digital self-representation, these forces can intersect to influence multimodal meaning making, and an author's life, in consequential ways.

A look-ahead road grade determination method for HEVs

This paper presents a look-ahead road grade determination method for use in energy management of hybrid electric vehicles. Data that is gathered from a digital map and vehicle sensors is used to predict the future road grade and longitudinal forces. The predicted information is employed to specify the near future traction force demand. A simulation is carried out using data associated with a 50 km section of a real highway for a typical vehicle. The results are presented and discussed.

Glaucoma and on-road driving performance

PURPOSE. To investigate the on-road driving performance of patients with glaucoma.

METHODS. The sample comprised 20 patients with glaucoma and 20 subjects with normal vision, all licensed drivers, matched for age and sex. Driving performance was tested over a 10-km route incorporating 55 standardized maneuvers and skills through residential and business districts of Halifax, Nova Scotia, Canada. Testing was conducted by a professional driving instructor and assessed by an occupational therapist certified in driver rehabilitation, masked to participant group membership and level of vision. Main outcome measures were total number of satisfactory maneuvers and skills, overall rating, and incidence of at-fault critical interventions (application of the dual brake and/or steering override by the driving instructor to prevent a potentially unsafe maneuver). Measures of visual function included visual acuity, contrast sensitivity, and visual fields (Humphrey Field Analyzer; Carl Zeiss Meditec, Inc., Dublin, CA; mean deviation [MD] and binocular Esterman points).

RESULTS. There was no significant difference between patients with glaucoma (mean MD = −1.7 dB [SD 2.2] and −6.5 dB [SD 4.9], better and worse eyes, respectively) and control subjects in total satisfactory maneuvers and skills (P = 0.65), or overall rating (P = 0.60). However, 12 (60%) patients with glaucoma had one or more at-fault critical interventions, compared with 4 (20%) control subjects (odds ratio = 6.00, 95% CI, 1.46–24.69; higher still after adjustment for age, sex, medications and driving exposure), the predominant reason being failure to see and yield to a pedestrian. In the glaucoma group, worse-eye MD was associated with the overall rating of driving (r = 0.66, P = 0.002).

CONCLUSIONS. This sample of patients with glaucoma with slight to moderate visual field impairment performed many real-world driving maneuvers safely. However, they were six times as likely as subjects with normal vision to have a driving instructor intervene for reasons suggesting difficulty with detection of peripheral obstacles and hazards and reaction to unexpected events.

John Kerry and Pakistan : the road ahead

The nomination of John Kerry as the new US Secretary of State will be generally welcomed in Pakistan.  But the US-Pakistan bilateral relationship will continue to be difficult.

Stochastic models of road geometry and wind condition for vehicle energy management and control

Modeling and simulation is commonly used to improve vehicle performance, to optimize vehicle system design, and to reduce vehicle development time. Vehicle performances can be affected by environmental conditions and driver behavior factors, which are often uncertain and immeasurable. To incorporate the role of environmental conditions in the modeling and simulation of vehicle systems, both real and artificial data are used. Often, real data are unavailable or inadequate for extensive investigations. Hence, it is important to be able to construct artificial environmental data whose characteristics resemble those of the real data for modeling and simulation purposes. However, to produce credible vehicle simulation results, the simulated environment must be realistic and validated using accepted practices. This paper proposes a stochastic model that is capable of creating artificial environmental factors such as road geometry and wind conditions. In addition, road geometric design principles are employed to modify the created road data, making it consistent with the real-road geometry. Two sets of real-road geometry and wind condition data are employed to propose probability models. To justify the distribution goodness of fit, Pearson's chi-square and correlation statistics have been used. Finally, the stochastic models of road geometry and wind conditions (SMRWs) are developed to produce realistic road and wind data. SMRW can be used to predict vehicle performance, energy management, and control strategies over multiple driving cycles and to assist in developing fuel-efficient vehicles.

Indigenous knowledge and climate change : the Wathaurong and Gadubanud narrative for the Great Ocean Road region

For more than forty thousand years Aboriginal people of Australia have been confronted with major climate, ecological and geological changes as well as annual seasonal variations. Many of these changes have been captured in the cultural traditions of Maar (the people) of the south-west Victorian coast and the knowledge has been transferred from generation to generation through Dreaming stories. Many Dreaming stories recount the forming of the coastal landscape and Sea Country. Weather patterns and climate change were gauged by the occurrence of natural events such as the tidal changes, sea level rise, landscape changes, behaviour of animals, and the availability of food sources. Can this ancient knowledge provide answers for adaptation and resilience to a rapid changing climate? Drawing upon recent literature on coastal climate change in the Great Ocean Road Region (GORCC, 2012), literature review of indigenous environmental planning (Kooyang Sea Country Plan, 2004), and investigation of settlement patterns of the Wathaurong and Gadubanud people, this paper reviews the changes in the landscape due to climate change and explores traditional knowledge as input to a potential design based adaptation model for coastal settlements of the Great Ocean Road Region.