Quality of Life Lost Due to Non-Fatal Road Crashes

The objective of this paper is to evaluate the effect of a nonfatal road crash on the health-related quality of life of injured people. A new approach is suggested, based on the cardinalization of categorical Self-Assessed Health valuations. Health losses have been estimated by using different Time Tradeoff and Visual Analogue Scale tariffs, in order to assess the robustness of the results. The methodology is based on the existing literature about treatment effects. Our main contribution focuses on evaluating the loss of health up to one year after the non-fatal accident, for those who are noninstitutionalized, which aids the appropriate estimation of the aggregated health losses in quality-of-life terms.Health-related quality of life, health measurement, road crashes, scaling methods

A savings based method for real-life vehicle routing problems

This paper describes a Savings Based algorithm for the Extended Vehicle Routing Problem. This algorithm is compared with a Sequential Insertion algorithm on real-life data. Besides the traditional quality measures such as total distance traveled and total workload, we compare the routing plans of both algorithms according to non-standard quality measures that help to evaluate the "visual attractiveness" of the plan. Computational results show that, in general, the Savings Based algorithm not only performs better with respect to these non-standard quality measures, but also with respect to the traditional measures.distribution;vehicle routing;road transport

Prediction of the visual impact of motorways using GIS

Large scale transportation projects can adversely affect the visual perception of environmental quality and require adequate visual impact assessment. In this study, we investigated the effects of the characteristics of the road project and the character of the existing landscape on the perceived visual impact of motorways, and developed a GIS-based prediction model based on the findings. An online survey using computer-visualised scenes of different motorway and landscape scenarios was carried out to obtain perception-based judgements on the visual impact. Motorway scenarios simulated included the baseline scenario without road, original motorway, motorways with timber noise barriers, transparent noise barriers and tree screen; different landscape scenarios were created by changing land cover of buildings and trees in three distance zones. The landscape content of each scene was measured in GIS. The result shows that presence of a motorway especially with the timber barrier significantly decreases the visual quality of the view. The resulted visual impact tends to be lower where it is less visually pleasant with more buildings in the view, and can be slightly reduced by the visual absorption effect of the scattered trees between the motorway and the viewpoint. Based on the survey result, eleven predictors were identified for the visual impact prediction model which was applied in GIS to generate maps of visual impact of motorways in different scenarios. The proposed prediction model can be used to achieve efficient and reliable assessment of visual impact of motorways

Software development for flexible pavement thickness design based on aastho and road note 31

Nowadays, road and surface failure has become a critical issue in our country on the flexible pavement which reflects to a bad quality and error during design stage. The thickness design of flexible pavement has become crucial element in the overall efficiency of highway structure system to give a good performance and high serviceability under a traffic loading during the expected design period. The objectives of this study are to develop flexible pavement thickness design software for AASHTO and Road Note 31 by using Visual Basic 6.0. The result comparison between both methods was carried out shown in different of thickness and different percentage of cost evaluations between AASHTO and Road Note 31. This computer software could produce the design thickness of each layer for flexible pavement structure in graphical layout for both design methods. Therefore, the users can easily analyze and compared the result obtained to select the best design alternative between AASHTO and Road Note 31 based on cost and thickness different. The result analysis obtained from this computer software also can be saved and view in a report file to be printed or keep as soft copy for reference in the future. Besides, the result analysis obtained by this computer software is also been compared with the manual calculation (theory) and shown that the computer software has the same and exact result with the manual calculation (theory). Thus, the performance of this computer software was successful tested and validated. Therefore, computer software of flexible pavement thickness design is a very useful tool in highway engineering especially to design the thickness of flexible pavement. By applying the computer program, the design stage can be made in a very short time period of design process and help to minimize the error factor compare to manual calculation or conventional method. Computer software also can give a high accuracy and quality of result for pavement thickness design

PENGARUH AKTIVITAS PENDUKUNG TERHADAP KUALITAS VISUAL KORIDOR JALAN KAWASAN SIMPANG 7 ULEE KARENG KOTA BANDA ACEH

ABSTRACT The area of Ulee Kareng intersection named "Simpang Tujuh" is a trade and service area located in Ulee Kareng District, The City of Banda Aceh. In this area, a lot of activities take place on the road corridor, one of which is the supporting activity of street vendors (PKL). The existence of street vendors as a supporting activity makes the visual quality of the corridor also affected. This situation is considered to result a negative picture on the important buildings around the area, because the presence of street vendors continues to grow andobstruct the view of the surrounding buildings. Therefore, this research is essentially important to be done in order to discover the effect of the supporting activities on visual quality. In this study, several data collection techniques were applied, such as observation, questionnaire and interviews. The research methods used are qualitative and quantitative methods (mix methods). The calculation was done with the Guttman scale, namely the distribution of questionnaires based on research indicators. The data analysis method applied was the form of a regression test analysis using the SPSS program, which is targeted to find out how much influence the supporting activities have on visual quality. The conclusion of this study is that respondents feel disturbed and uncomfortable with the presence of street vendors (PKL) who become the sellerstake place exactly by the side of the road. On the other hand, those people also need the street vendors to meet their daily needs. Analytically, this study shows the influence of supporting activities on the visual quality. Therefore, a design solution is provided by the theoretical analysis and the conclusions collected from the questionnaire. The possible efforts can be made are widening the road of thecorridor, creating a special area for street vendors and making a traffic roundabout at the center of the intersection. Keywords: Support Activities, Street Vendors (PKL), Visual Quality, The City of Banda Ace

Analysis of different visual strategies of ‘isolated vehicle’and ‘disturbed vehicle’

This paper analyses the driver’ visual behaviour in the different conditions of ‘isolated vehicle’ and ‘disturbed vehicle’. If the meaning of the former is clear, the latter condition considers the influence on the driving behaviour of various objects that could be encountered along the road. These can be classified in static (signage, stationary vehicles at the roadside, etc.) and dynamic objects (cars, motorcycles, bicycles). The aim of this paper is to propose a proper analysis regarding the driver’s visual behaviour. In particular, the authors examined the quality of the visually information acquired from the entire road environment, useful for detecting any critical safety condition. In order to guarantee a deep examination of the various possible behaviours, the authors combined the several test outcomes with other variables related to the road geometry and with the dynamic variables involved while driving. The results of this study are very interesting. As expected, they obviously confirmed better performances for the ‘isolated vehicle’ in a rural two-lane road with different traffic flows. Moreover, analysing the various scenarios in the disturbed condition, the proposed indices allow the authors to quantitatively describe the different influence on the visual field and effects on the visual behaviour, favouring critical analysis of the road characteristics. Potential applications of these results may contribute to improve the choice of the best maintenance strategies for a road, to select the optimal signage location, to define forecasting models for the driving behaviour and to develop useful instruments for intelligent transportation systems

Non-visual Effects of Road Lighting CCT on Driver's Mood, Alertness, Fatigue and Reaction Time: A Comprehensive Neuroergonomic Evaluation Study

Good nighttime road lighting is critical for driving safety. To improve the quality of nighttime road lighting, this study used the triangulation method by fusing "EEG evaluation + subjective evaluation + behavioral evaluation" to qualitatively and quantitatively investigate the response characteristics of different correlated color temperature (CCT) (3500K, 4500K, 5500K, 6500K) on drivers' non-visual indicators (mood, alertness, fatigue and reaction time) under specific driving conditions (monotonous driving; waiting for red light and traffic jam; car-following task). The results showed that the CCT and Task interaction effect is mainly related to individual alertness and reaction time. Individual subjective emotional experience, subjective visual comfort and psychological security are more responsive to changes in CCT than individual mental fatigue and visual fatigue. The subjective and objective evaluation results demonstrated that the EEG evaluation indices used in this study could objectively reflect the response characteristics of various non-visual indicators. The findings also revealed that moderate CCT (4500K) appears to be the most beneficial to drivers in maintaining an ideal state of mind and body during nighttime driving, which is manifested as: good mood experience; it helps drivers maintain a relatively stable level of alterness and to respond quickly to external stimuli; both mental and visual fatigue were relatively low. This study extends nighttime road lighting design research from the perspective of non-visual effects by using comprehensive neuroergonomic evaluation methods, and it provides a theoretical and empirical basis for the future development of a humanized urban road lighting design evaluation system.Comment: 38 pages, 15 figures, 103 conference

A novel processing methodology for traffic-speed road surveys using point lasers

The rapidly increasing traffic volumes using local road networks allied to the implications of climate change drive the demand for cost-effective, reliable and accurate road condition assessment. A particular concern for local road asset managers is the loss of material from the road surface known as fretting which unchecked can lead to potholes. In order to assess the road condition quantitatively and affordably, a system should be designed with low complexity, be capable of operating in a variety of weather conditions and operate at normal traffic-speeds. Many different techniques have been developed for road condition assessment such as ground penetrating radar, visual sensors and mobile scanning lasers. In this work, the use of the point laser technique for scanning the road surface is investigated. It has the advantages of being sufficiently accurate, is relatively unaffected by levels of illumination and it produces relatively low volumes of data. In this work, road fretting/surface disintegration was determined using a novel signal processing approach which considers a number of features of reflected laser signals. The proposed methodology was demonstrated using data collected from the UK's local road network. The experimental results indicate that the proposed system can assess road fretting to an accuracy which is comparable to a visual inspection, and at Information Quality Level (IQL) 3 which is sufficient for tactical road asset management whereby road sections requiring treatment are selected and appropriate treatments identified

They Drive at Night - Can Visual Enhancement Systems Keep the Driver in Control?

Driving requires a combination of open-loop and closed-loop control. The open-loop control is affected by the quality of visual input, and therefore constrained during driving at night. This study investigated the effects of a Visual Enhancement System during simulated night driving conditions. It was hypothesised that the VES would improve the driver’s control, hence the quality of driving. 40 Ss drove about 120 km on a simulated Swedish road with and without a VES. At the time of writing, the experiments have just finished. Data analysis will focus on derived measures that correspond to the driver’s degree of control

Data Collection Methodology to Assess Road Pavement Condition Using GNSS, Video Image and GIS

Traffic loads, along with the environment, damage pavement over time. The degradation of pavement quality is reflected in the development of a diversity of pavement distresses, such as cracking, deformation or deterioration. These distresses may occur on the surface and/or in the pavement structure, having a determinant role in pavement’s quality. Aiming to increase the degree of reliability of the pavement distress data and reduce pavement observation time and visual inspection operations cost, this work presents the main steps proposed for a methodology to observe, record and evaluate flexible road pavement distresses to assess the quality of road pavements. This methodology is based on an in-vehicle inspection using GNSS and video image capture devices and in the use of Geographic Information System (GIS). Validation of the proposed methodology was made through a case study by comparing the results obtained on the in-vehicle inspection to those from a traditional visual inspection performed on foot. The similarity of results obtained by the two approaches allowed to conclude about the feasibility of the proposed methodology. Among the main advantages of the proposed methodology a highlight is on the possibility to identify, quantify and locate the most severe pavement distresses through the use of spatial tools available on GIS, producing information maps and reports that can be used in the decision-making process about road pavements rehabilitation and conservation.info:eu-repo/semantics/publishedVersio