Classification of Bus Driving Behaviour In Universiti Malaysia Sabah Campus

Driving behaviour has been studied by numerous researchers for the past few years. It includes the instantaneous driving behaviour observations and the drivers speed which are said to be influenced by many factors, such as the demographic measure of the drivers, environmental, passenger effect, and road characteristics. This paper describes the recent analysis and classification of driver behaviour in actual driving scenarios among the bus drivers in Universiti Malaysia Sabah (UMS) Main Campus, Kota Kinabalu. This research focussed on determining the riderships of bus in UMS campus, to investigate the differences of instantaneous driving behaviours of bus drivers during the acceleration phase when leaving bus stops, and to poduce the classification of the bus driving behaviour in UMS based on the driver’s accelerations. In order to achieve the objective of this study, observations were made for determining the riderships and the differences in instantaneous bus driving behaviour several times for each bus stops. For drivers speed and accelerations, a mobile applications called Speedometer GPS was used to obtain the data. Interview was conducted to a total number of 10 respondents to obtain their demographic measure. The results obtained shows the ridership of UMS bus is the highest in the afternoon peak. The instantaneous driving behaviour produce the head movement as the highest percentage during peak hour, and inattentive behaviour as the highest during the off peak hour. The bus drivers in UMS were classified as Aggressive and Calm Behaviour Category.

Traffic noise models and noise guidelines: A review

Traffic noise is a major cause of noise pollution, and impacts of noise pollution on humans have been studied extensively. Previous studies have helped in the development of traffic noise prediction analysis using robust analytical and computational models, parameters connected with traffic, road characteristics, and environment. This study reviewed 11 traffic noise modeling strategies and parameters used by various agencies in different parts of the world. Seven out of the 11 models reviewed in this paper were based on outdoor measurements while the remaining four were based on outdoor and indoor measurements. Considering the cost and time involved in developing these models, there is need to understand existing traffic noise models, differences, and assumptions before adopting or recalibrating them for local demands. This study contributes to the larger body of knowledge and intends to serve as a reference material for future researchers in the area of traffic noise modeling and techniques.

Energy Supply to Buses on a Conductive Electric Road: An Evaluation of Charger Topologies and Electric Road Characteristics

An electric road system (ERS) enables transfer of electric energy to a moving vehicle, making it possible to reduce the capacity—and cost—of the battery and the need for static chargers. A conductive electric road allows for relatively low complexity whilst being able to provide high levels of power. When utilising a conductive electric road, safety precautions must be considered with regard to isolation between the charging supply (the electric road) and the vehicle’s traction voltage system (TVS), since no protective Earth connection can be guaranteed. Isolation can be achieved by separating the two systems galvanically or by double isolating the entire TVS and all equipment connected to it on-board the vehicle. This study used the experimental results from a previous paper to model and evaluate three different electric powertrains/charger topologies, including a novel integrated design fulfilling the required safety features. The models were used in a full vehicle model and further investigated in a city bus scenario in terms of how charging performance, energy consumption and battery ageing are affected by the aforementioned charging topologies and electric road characteristic. We discovered that charging topology has a strong influence on energy consumption, and that electric road characteristics have a strong influence on battery ageing.

Pros and Cons of Self Driving Vans - A Real Life Motorway Case Study Analysis from Great Britain

Given the speculations that autonomous vehicles are sure to take over the transport sectors in the near future, this study micro-simulates the impacts of automating the vehicle VAN using the micro-simulation software AIMSUN in a hypothetical condition. This study analyses the impacts of automation of vans in different levels of automation penetrations with heterogeneous traffic conditions on traffic parameters such as speed and different environmental factors and should only be considered as a case approach with minimal application in the real-world scenario. In this study, the impacts of automation of van in different road characteristics were also analyzed in detail. The study highlights that with an increase in van automation penetrations, traffic parameters speed is positively impacted while negative impacts on environmental conditions are observed. This is mostly because multiple analysis should have been carried out to have a complete understanding of the network.

ROAD CHARACTERISTICS, TRAFFIC NATURE AND DRIVERS’ PROPENSITY TO USE MOBILE PHONE

The objective of this study was to investigate whether drivers’ propensity to use mobile phone during active driving was determined by given road type, road condition and traffic nature. Naturalistic observations of vehicles were conducted on intra-city roads in Lagos, Ibadan and Ile-Ife and intercity roads between Lagos-Ibadan and Ibadan-Ife expressways. Interview was also conducted with 26 drivers purposively selected to provide narrative account of personal mobile phone use while driving. Descriptive and content analysis techniques were used to present the results of both the observation and interview. Results showed that 5.18% of a total 2627 drivers observed on the intracity roads were seeing with their phones during active driving while 6.09% of 952 drivers observed on the intercity expressways were seeing using their mobile phones. Results also revealed that high percentage of drivers would not use their phone on high-ways (H-Ws), bumpy roads (BRs) and lowdensity traffic (LDT) while most drivers use their mobile phones on street-level roads (SLRs), smooth surface roads (SSRs). Factors such as exigency of calls, suitability to pick calls, consideration for speed, chaotic potential outcomes were among factors that determine their penchant to pick calls.