Evaluating the effects of road hump on speed and noise level at a university setting

This study is carried out to determine the effectivness of road humps to reduce the traffic speed and traffic noise in institutional area. The difference in hump profiles in terms of height, width and length are the main factors in determing the effectiveness of road humps. The difference in the profiles of the road hump will cause changing driver behaviour of the users especially when approaching the road hump. The road humps with different design profiles are selected to measure the speed and noise level of the vehicles at, before and after each of the selected road humps. Radar speed gun and noise level meters are used to measure speed and noise level of the vehicles at each of designated points along the major circular road in IIUM. The changes in speed and noise level at different selected points at each of the different profiles of the road humps are the expected findings of this study

Evaluating the effects of road hump on the speed of vehicles in an institutional environment

Vehicles travelling at speed above the permissible speed limit have jeopardized the safety of road users. The concern is greater at institutional environment whereby most road users travel by walking. Road hump is considered as an efficient traffic calming measure in reducing the speed of the vehicle. This paper investigates the effects of different road hump dimensions in decreasing the speed of vehicles at the main road of International Islamic University Malaysia. Six (6) road humps with different design profile were selected. The design profile and spot speed of the vehicles at all six (6) road humps were measured. The speed of vehicles at the road hump was analyzed by using descriptive analysis and t-test. The findings of this study suggest that road hump is effective in lowering the speed of vehicles in an institutional environment. The dimensions of road hump, especially height, influence significantly the speed reduction of vehicles

Eco-driving technology for sustainable road transport: A review

© 2018 Elsevier Ltd Road transport consumes significant quantities of fossil fuel and accounts for a significant proportion of CO2 and pollutant emissions worldwide. The driver is a major and often overlooked factor that determines vehicle performance. Eco-driving is a relatively low-cost and immediate measure to reduce fuel consumption and emissions significantly. This paper reviews the major factors, research methods and implementation of eco-driving technology. The major factors of eco-driving are acceleration/deceleration, driving speed, route choice and idling. Eco-driving training programs and in-vehicle feedback devices are commonly used to implement eco-driving skills. After training or using in-vehicle devices, immediate and significant reductions in fuel consumption and CO2 emissions have been observed with slightly increased travel time. However, the impacts of both methods attenuate over time due to the ingrained driving habits developed over the years. These findings imply the necessity of developing quantitative eco-driving patterns that could be integrated into vehicle hardware so as to generate more constant and uniform improvements, as well as developing more effective and lasting training programs and in-vehicle devices. Current eco-driving studies mainly focus on the fuel savings and CO2 reduction of individual vehicles, but ignore the pollutant emissions and the impacts at network levels. Finally, the challenges and future research directions of eco-driving technology are elaborated

Teenagers and Automated Vehicles: Are They Ready to Use Them?

ABSTRACT: Mobility needs, expectations, and concerns vary across age groups and are closely linked to users' views on the future of the road transport system. Automated vehicles are expected to have a significant impact on the future of the road transport system, and pilot deployments are increasingly being tested in Europe and beyond, which is also thanks to the evolving regulatory landscape. As a result, several studies have started to analyse citizens' attitudes towards this technology. However, very few studies have focused on teenagers' views on automated vehicles, although today's children and teenagers could be among the first users of such vehicles. Studying teenagers and the way they envisage automated vehicles in the future is of particular significance in defining transport planning strategies and supporting upcoming policy orientations. To cover this gap, the present study aims to explore teenagers' views about automated vehicles and whether and how they could fit into their future transport setting. A series of on-line and face-to-face focus groups, a demonstration of an automated vehicle prototype, supporting engagement activities, and a post-pre survey were used to collect their views on the topic. The results show that even though the teenagers acknowledged the potential advantages, they also expressed concerns in relation to the interactions with other road users, to automated driving systems' reliability, to safety, and to data privacy. In particular, these safety concerns revealed an unwillingness on the part of the teenagers to be among the first users of automated vehicles.This research has been funded by the European Commission Joint Research Centre Institutional Funds

An Empirical Study of Customers’ Behavioral Intention to Use Ridepooling Services – An Extension of the Technology Acceptance Model

Shared mobility services for passenger transportation become increasingly popular all over the world. As services like carsharing are already well-established and well-accepted, ride pooling services are at their early stage and currently within first implementations. The most critical success factor of such services is the customer acceptance. We investigate the acceptance of 115 German questionnaire respondents using and extending the Technology Acceptance Model. Results indicate that the success factors of the developed model serve as useful predictors of the behavioral intention to use ridepooling services. Perceived compatibility was identified to have the strongest impact whereas perceived ease of use and perceived safety are not relevant for accepting ridepooling services. Based on these findings, our paper provides management implications and recommendations to improve acceptance and success of ridepooling services in Germany

Look Both Ways: Intersections Of Past And Present In The Shaping Of Relations Between Cyclists, Pedestrians, And Driverless Cars

Driverless cars are expected to transform society in many ways. Since nowadays most collisions are due to human error, safety is among the most anticipated benefits of the technology. The promise of near zero fatalities on roads appears in many industry statements and government reports. Because of that, every collision, especially involving fatalities, receives much attention from the media and public. That kind of scrutiny resembles the early days of the conventional automobiles. In those days, automobiles – also called “horseless carriages” – were not well received by the majority of the population. Cars brought conflicts and fatalities on roads to a level never seen before. The automobile industry, using public relations, shifted society’s perception about who belongs to the roads, and who should be blamed for the rise of fatalities. That shift influenced legislation and tort law in motor-vehicle centric ways. It also created cities with infrastructure focused on the automobile at the expense of other means of transportation. Today, one of the most difficult challenges for driverless cars is the unpredictability of pedestrian and cyclist behaviour. To accelerate the deployment of the technology, some are considering the necessity of law enforcement against pedestrians and other street users. Centred on urban environments, pedestrians and cyclists, and with an interdisciplinary and advocacy-oriented approach, this thesis seeks to contribute to the debate about the safety and deployment of driverless cars, its influence on law and legislation, and how a car-centred view of the technology may limit its potentialities

The role of environmental concern and technology show-off on electric vehicles adoption: the case of Macau

Purpose: Research on battery electric vehicles (BEVs) has typically considered environmental concern a key determinant of behavioral intention that leads individuals to prefer electric vehicles. This paper challenges this assumption and argues that technology frameworks may require new variables to capture consumers' preferences. A UTAUT2-based study has been developed to assess the role of environmental concern in the BEVs context and put forward the technology show-off (TS) concept to explain the technology's acceptance. Design/methodology/approach: A quantitative and cross-sectional look at behavioral intention is adopted. The study uses structural equation modeling to analyze a sample of 236 Macau residents to determine the relevance of the factors behind the choice to adopt BEVs. Findings: The findings indicate that environmental concern and price may be relevant to explain behavioral intention to adopt the BEVs technology. Furthermore, the UTAUT2 framework seems to benefit from adding new variables, with TS playing a pertinent role in explaining technology acceptance. Social implications: The findings show that environmental concern fails to build an argument for the shift to full electric mobility and promote the desired behavioral change toward adopting BEVs. Herein lies the necessity to consider new variables that can better describe the characteristics of modern society.Originality/value: This paper proposes the TS construct, combining visibility and trialability as significant determinants of behavioral intention to use technology. The study also stresses the need to reconsider the role of environmental concerns' impact on consumer decision-making.info:eu-repo/semantics/acceptedVersio

The influences of e-satisfaction, e-trust and hedonic motivation on the relationship between e-banking adoption and its determinants in Nigeria

The main objective of this study is to investigate factors that can predict adoption of ebanking in Nigeria. Specifically, it aims at investigating mediating influences of esatisfaction, e-trust and hedonic motivation on the relationship between e-banking adoption and its other determinants. The motivation of this study is driven by the inconsistent findings in the literature with respect to the relationships between e-banking adoption and its determinants: perceived usefulness, perceived ease of use, perceived security and facilitating condition. In line with the inconsistencies, various suggestions have emerged pointing to the need to investigate the possible mediating variables that could explain the inconsistencies. For that purpose, this study employed theories of Technology Acceptance Model (TAM), Universal Theory of Acceptance and Use of Technology (UTAUT) and Social Exchange theory to synchronize the possible relationships among the variables in the conceptual framework. Survey questionnaire was advocated and the questionnaires were distributed randomly to 382 customers of four major banks in Nigeria. Out of 291 returned questionnaires, 266 were useable for analysis. PLS-SEM was used to analyze both direct and indirect relationships among the variables of the study. The results reveal that perceived usefulness, perceived security, perceived ease of use, facilitating condition, and awareness are positive determinants of e-banking adoption, e-satisfaction, hedonic motivation and e-trust accordingly with an exception of perceived usefulness that does not determine e-trust. The study also found that e-satisfaction; e-trust and hedonic motivation mediate the relationship between perceived usefulness, perceived ease of use, perceived security and facilitating conditions and e-banking adoption. Finally, managerial, policy and theoretical implications as well as directions for future research are discussed in this paper

Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles

Interaction-aware Autonomous Driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable of interacting safely and efficiently with human road users. This is a challenging task, as it requires the autonomous vehicle to be able to understand and predict the behaviour of human road users. In this literature review, the current state of IAAD research is surveyed in this work. Commencing with an examination of terminology, attention is drawn to challenges and existing models employed for modelling the behaviour of drivers and pedestrians. Next, a comprehensive review is conducted on various techniques proposed for interaction modelling, encompassing cognitive methods, machine learning approaches, and game-theoretic methods. The conclusion is reached through a discussion of potential advantages and risks associated with IAAD, along with the illumination of pivotal research inquiries necessitating future exploration