Abstract
Driver behavior is a concerning issue in the area of intelligent transportation system (ITS). Driver behavior is a significant key player in a wide range of unpleasant events during the ride, such as accidents or crashes, traffic congestion, harsh braking, and acceleration/deceleration. Influencing factors of driver behavior have been explored in several studies. It is imperative to investigate these factors in order to provide a comprehensive analysis and to categorize them on the basis of a coherent taxonomy. With that, this study conducted a systematic review on prior studies that focused on bus driver behavior, particularly in the ITS. This study also established a taxonomy on the topic of driver behavior in multiple areas of ITS and their classifications. Different databases, namely ScienceDirect, Web of Science, and IEEE Explore, were utilized to obtain relevant articles from 2008 to 2021 (15 April). Several filtering and scanning stages were performed according to the exclusion/inclusion criteria on all 2,803 articles obtained; however, only 87 articles met the criteria. The final set of articles were categorized into a taxonomy. The first part of the taxonomy focuses on five main factors that influence driver behavior: environmental, demographic, habit, vehicle, and on-road routine factors. The second part of the taxonomy discusses the mapping of data collection methods on the basis of four categories: real-time data collection, survey, simulation, and benchmark. Discussion and analysis were provided to highlight the critical literature gaps on bus driver behavior in the ITS, involving the use of real-time data collection, which is imperative for acquiring highly accurate and sophisticated data. This multi-field systematic review has exposed new research opportunities, motivations, challenges, limitations, and recommendations and highlighted the need for the synergistic integration of interdisciplinary works. Overall, this study presented pathways solution in future direction on the basis of three sequenced phases, namely design, labeling and validation, and machine learning. This study can serve as a guide for future researchers, as it addressed the ambiguities in the ITS-driver behavior domain and provided valuable information on these ITS-driver behavior trends.
Highlights
Intelligent transportation system (ITS) is one of the research areas that attempt to incorporate the latest informationThe associate editor coordinating the review of this manuscript and approving it for publication was Maurice J
This study presented a systematic mapping of the key findings on the evaluation approaches of bus driver behavior
TAXONOMY OF CRITICAL FACTORS This study aimed to propose a taxonomy of critical factors that were extracted from literature
Summary
Intelligent transportation system (ITS) is one of the research areas that attempt to incorporate the latest informationThe associate editor coordinating the review of this manuscript and approving it for publication was Maurice J. Technologies into the domain of transportation for various advantages [1], [2]. Such advantages include reducing traffic congestion, preventing accidents or crashes, and facilitating vehicle flow [3]. A. Mohammed et al.: Landscape of Research on Bus Driver Behavior other communication technologies by providing, sharing, and exchanging information about road safety, congestion, and other valuable knowledge [4]. ITS has been explored in a considerable number of studies, where various aspects of road, vehicle, and driver have been tackled. A driver plays a considerable role in unpleasant road events, such as traffic congestion or fatal accidents, where human errors, sensation-seek, aggressiveness, and other human-involved factors are likely to be engaged [5]
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