Transportation Research Part F-Traffic Psychology and Behaviour最新文献

{"title":"Investigating the role of visual and corresponding auditory stimuli in driving-related speed perception","authors":"Anna-Lena Köhler ,&nbsp;Iring Koch ,&nbsp;Stefan Ladwig","doi":"10.1016/j.trf.2025.02.007","DOIUrl":"10.1016/j.trf.2025.02.007","url":null,"abstract":"<div><div>Speeding is a main risk factor in traffic. Because drivers need to integrate a variety of information, investigating different perceptual modalities in speed perception can help develop interventions to mitigate speeding. Humans perceive traveling speed relative to the speed of the environment, which is also called “optic flow”. In spatial tasks, processing visual input often dominates processing of auditory input, but simultaneous presentation of information in both modalities can lead to intersensory bias. In the present study, we investigated such cross-modal interactions between visual and auditory information on a simulated road in two experiments (Experiment 1A and 1B). We applied the method of constant stimuli to assess speed perception. Participants were presented with short video sequences and decided via keypress which sequence they perceived as faster, so that it was possible to calculate the point of subjective equality (PSE). Stimuli were either unimodal visual (regular lights on both sides of the road on the asphalt) or bimodal visual-auditory (the same lights and added wind noise every time a light was passed), both either in static positions or animated in a way to give the impression of moving towards drivers. Both experiments showed that oncoming stimuli led to higher perceived speed (indicated by a lower PSE) than static stimuli. However, this influence on perceived speed was stronger in the bimodal visual and auditory than in the unimodal visual condition, suggesting the added influence of acoustic flow on the existing influence of optic flow. In sum, these findings suggest that earlier studies with unimodal visual stimuli underestimated the influence of oncoming stimuli on perceived speed and thus its potential role on mitigating speeding in traffic.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"110 ","pages":"Pages 1-14"},"PeriodicalIF":3.5,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143372437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the predictors of adolescent learners’ continuance intention to engage with a gamified e-learning platform about traffic safety in Vietnam","authors":"Hoang Nam Le ,&nbsp;Ariane Cuenen ,&nbsp;Tu Anh Trinh ,&nbsp;Davy Janssens ,&nbsp;Geert Wets ,&nbsp;Muhammad Wisal Khattak ,&nbsp;Kris Brijs","doi":"10.1016/j.trf.2025.01.032","DOIUrl":"10.1016/j.trf.2025.01.032","url":null,"abstract":"<div><div><em>Introduction:</em> Although e-learning systems are seen as a key part of learning and training activities, many learners stop using them after a period of initial engagement. Prior studies provided insights into e-learning participation, but in the context of traffic safety, little research has been done on learners’ intention to continue using (gamified) e-learning. <em>Objectives:</em> This study aims to investigate whether the following predictors of learners’ continuance intention towards a gamified e-learning platform: satisfaction, attitude, interface design, learning content, learning management and gamification. In addition, the study investigates whether satisfaction mediates the effects of these predictors. <em>Method:</em> A sample of 322 Vietnamese adolescents participated in a study where a gamified e-learning platform was implemented in a sample of high school students. <em>Results:</em> Satisfaction, gamification, interface design and learning content were found to be important predictors of continuance intention. Moreover, satisfaction was a significant mediator of the effects generated by gamification, interface design and learning content on continuance intention. <em>Practical implications:</em> The findings of this study offer useful insights on the successful implementation of a gamified e-learning platform about traffic safety.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1229-1245"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overtaking automated truck platoons: Effects of platoon organisations and traffic situation on driving behaviours of nearby manual vehicle drivers","authors":"Zijian Lin ,&nbsp;Feng Chen ,&nbsp;İbrahim Öztürk ,&nbsp;Natasha Merat","doi":"10.1016/j.trf.2025.01.026","DOIUrl":"10.1016/j.trf.2025.01.026","url":null,"abstract":"<div><div>Automated truck platooning is a promising technology that is expected to be mainstream within the next decade. For the foreseeable future, automated truck platoons will coexist and interact with human drivers. Resembling a train-like formation, automated truck platoons may present challenges for drivers wishing to overtake them, and it is not currently clear how these new formations affect driver behaviour. Therefore, this paper aims to examine driver behaviours in the overtaking process under various platoon organisations. A high-fidelity driving simulation experiment was conducted to investigate the influence of platoon speed (80 km/h and 100 km/h), size (three trucks and five trucks), inner gap (5 m and 25 m) and the surrounding traffic situation, e.g., the presence of a lead vehicle, on drivers’ overtaking behaviour. Thirty-eight participants were recruited in the experiment. Results revealed that compared to 80 km/h conditions, the 100 km/h conditions prompted more drivers to exhibit extreme behaviours—either failing to overtake or performing a risky overtaking. Regarding platoon size, drivers tended to deviate farther from the lane center to maintain a larger lateral distance from the platoon under five-truck conditions. With respect to the inner gap, a 25 m inner gap significantly reduced the proportion of successful overtaking maneuvers. Moreover, in critical conditions, a 5 m inner gap extended drivers’ response time but did not significantly impact collision probability. The presence of the lead vehicle increased drivers’ mental workload and impaired longitudinal stability. These findings may offer insights for managing automated truck platoons. For instance, the platoon speed and inner gap can be regulated in different traffic conditions, to optimize efficiency, while ensuring safety for all road users.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 1208-1228"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On effects of behavioral intention on travel preferences for electric car-sharing services: Empirical insights from the Netherlands","authors":"Xiaofeng Pan ,&nbsp;Feixiong Liao","doi":"10.1016/j.trf.2024.12.003","DOIUrl":"10.1016/j.trf.2024.12.003","url":null,"abstract":"<div><div>Behavioral intention and use behavior toward emerging mobility services have received much attention recently in transportation research. Although it is commonly conceptualized that behavioral intention affects use behavior, these two subjects have been studied largely in isolation. To fill this gap, this paper investigates the effects of behavioral intention on travel preferences for electric car-sharing services (ECS). Based on a stated choice experiment with measurements of psychological factors deployed in the Netherlands, a series of hybrid choice models were established, in which various effects of behavioral intention on travel preferences were examined. The estimation of these models reveals the following findings. First, behavioral intention significantly influences people’s preferences for ECS. Holding all else unchanged, a higher behavioral intention results in a higher propensity to choose ECS. Second, people’s socio-demographic characteristics and travel context have significant interaction effects with behavioral intention and further influence their preferences for ECS. Third, among the ECS-specific attributes, access time has a significant interaction effect with behavioral intention, which can decrease the value of access time. Fourth, compared to social influence and personal attitude, peoples’ behavioral intention toward ECS has a larger influence on their choices.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 113-124"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A unified driving behavior model based on psychological safety space","authors":"Renjing Tang ,&nbsp;Guangquan Lu ,&nbsp;Miaomiao Liu ,&nbsp;Mingyue Zhu ,&nbsp;Pengrui Li","doi":"10.1016/j.trf.2024.12.024","DOIUrl":"10.1016/j.trf.2024.12.024","url":null,"abstract":"<div><div>Almost all traffic phenomena are influenced by driving behavior, making the understanding and description of driving behavior a key aspect of traffic research. Traditional driving behavior models, such as car-following and lane-changing models, are often confined to specific scenarios, thus limiting their applicability across diverse driving conditions. This study aims to analyze the underlying mechanisms of human drivers’ decision-making in diverse driving contexts and develop a unified driving behavior model suitable for a wide range of situations. By integrating situational awareness theory with personal space theory, the concept of Psychological Safety Space (PSS) is defined and its boundaries are quantified using risk field theory. A unified driving behavior model is then developed based on psychological safety space, incorporating a spatial trajectory planning algorithm and a speed regulation algorithm. The proposed model is evaluated against classical models, including the intelligent driver model, desired risk model, and desired safety margin model, as well as empirical data. The results demonstrate that the driving behavior model based on psychological safety space achieves high accuracy and effectiveness in scenarios such as car-following, lane-changing, and intersection navigation. This study offers new perspectives and methods for understanding and simulating driver behavior and contributes to the advancement of driving behavior model development.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 439-457"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis” [Transport. Res. F: Psychol. Behav., 108 (2025) 107–135/3052]","authors":"Deepti Muley ,&nbsp;Tayyab Ahmad ,&nbsp;Mohamed Kharbeche","doi":"10.1016/j.trf.2024.12.016","DOIUrl":"10.1016/j.trf.2024.12.016","url":null,"abstract":"","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Page 231"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How different levels of semantic segmentation affect human perception of driving scenes","authors":"Alice Cohen ,&nbsp;Avinoam Borowsky ,&nbsp;Joel Lanir","doi":"10.1016/j.trf.2024.11.024","DOIUrl":"10.1016/j.trf.2024.11.024","url":null,"abstract":"<div><div>As automated vehicles continue to advance, teleoperation has emerged as a critical support system for navigating complex and unpredictable environments that exceed the vehicles' current autonomous capabilities. A main issue in the implementation of teleoperation is latency caused by the high bandwidth required to transmit the video feed from the vehicle to the remote teleoperation station. A possible approach for addressing the latency problem is the transfer of lower-resolution or compressed videos between the vehicle and the teleoperation station. When applying semantic segmentation on the video feed, many pixels are mapped to a limited set of possible colors according to the types of objects that they represent. This concept has been commonly used in autonomous driving algorithms and has the potential to enable the transferring of smaller-sized videos thus reducing bandwidth. In this study, we examine how presenting semantically segmented driving scenes to humans affects their perception of the scene, and specifically, how it affects their hazard perception and situation awareness. We conducted two user studies comparing the effects of using different levels and types of semantic segmentation. Our results indicate that viewing partly segmented scenes, such that only a selected set of object types are colored, commonly achieves the same effect, and sometimes even outperforms a realistic view. Our study and its insights may pave the way for future research, development, and design of teleoperation systems of automated vehicles.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 19-31"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of gaze strategies and cognitive load on safeguarding performance of motorists in right-turning scenarios involving potential conflicts with vulnerable road users","authors":"Florian Denk ,&nbsp;Felix Fröhling ,&nbsp;Pascal Brunner ,&nbsp;Werner Huber ,&nbsp;Martin Margreiter ,&nbsp;Klaus Bogenberger ,&nbsp;Ronald Kates","doi":"10.1016/j.trf.2024.11.012","DOIUrl":"10.1016/j.trf.2024.11.012","url":null,"abstract":"<div><div>In urban traffic, while the fraction of collisions involving Vulnerable Road Users (VRU) is low, their importance is high due to the higher injury risk for VRU. Their infrequent occurrence on average (compared with far more common individual perceptual and behavioral errors by both drivers and VRUs) reflects an underlying fault tolerance in traffic processes. However, the degree of fault tolerance varies among traffic situations. The underlying perceptual and cognitive processes involved are complex and can require a high level of attention and concentration, particularly in situations with intersecting trajectories. These processes can occasionally fail, leading to collision risk. The situation of right-turning motorists (in right-hand-drive countries) encountering cyclists moving straight on a bike lane (with right of way) has a particularly low error tolerance, since motorists must actively scan for cyclists approaching from behind. In order to develop, test and assess solutions that mitigate collision risk in this situation, the behavior-related causation mechanisms need investigation. This is the focus of this article. We conducted a trial on our closed test track with n = 35 subjects. The experiment was designed as a within-subject design with three independent factors: maneuver, target velocity, and cognitive load in an n-back task. The trial included observations of participants' gaze control. A primary research focus was the quality and efficiency of the safeguarding gaze behavior of participants in order to draw conclusions on the causation mechanisms of collisions in this situation. For this purpose we define metrics in order to quantify the quality and efficiency of a specific gaze behavior. Furthermore, we studied the effect of factors cognitive load and target velocity on safety and secondary (n-back) task performance. Remarkably, only four out of 35 participants reached a collision risk of 0% relating to the defined quality metric. Furthermore, we identified four distinct gaze strategy groups through hierarchical clustering, where one group performed particularly few glances overall. This group showed significant differences with respect to the defined quality metric whereas the other groups showed only slight differences to each other. The results have implications on subsequent crash causation model development.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 32-49"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of motorized two-wheeler virtual environment: Influence of perceived realism and simulator fidelity","authors":"Monik Gupta,&nbsp;Nagendra R. Velaga","doi":"10.1016/j.trf.2025.01.001","DOIUrl":"10.1016/j.trf.2025.01.001","url":null,"abstract":"<div><div>The present study explored the behavioral validity and contributing factors to improve realism in the virtual environment. The driving performance of motorized two-wheelers was compared in a simulator environment and real-world conditions. The driving simulator featured a virtual environment created with Unity 3D software, designed to replicate the real-world road infrastructure and traffic conditions to simulate a mixed-traffic environment. The driving performance measures, including mean speed, lateral acceleration, and longitudinal acceleration, were used to evaluate the behavioral validity. The control factors considered for determining the relative validity were a) Road Geometry and b) Distraction due to pillion rider. The Bayes hypothesis testing was conducted to compare the differences in performance measures in a) high fidelity driving simulator with motion base platform, b) driving simulator without motion base platform, and c) actual field conditions. The results supported the relative validity of the driving simulator in both with and without motion-based platforms. This study further quantified the difference in driving performance using explanatory variables: a) Perceived realism, b) Prior exposure to the virtual environment, and c) Individual characteristics. The results showed that the hypothesis proposing consistent relative standard performance parameters between the riding simulator and real-world distracted riding situations was three times more likely to be true. The motion feedback systems marginally improved the speed perception by reducing mean speed by 7.4 km/h. However, other factors, such as the realism of sound and surrounding traffic, reduced the mean speed in the simulator by 16.3 km/h and 28.6 km/h, respectively. This study also indicated that extended familiarization sessions beyond the hardware control and dwelling into speed perception improved the realistic speed in the virtual environment by 11.47 km/h. Overall, this study achieves a relative behavioral validity of the motorized two-wheeler simulator and highlights the critical aspects to consider while designing the experiments in the virtual environment.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 672-688"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An observational study of understanding the factors influencing merging behaviour in work zones","authors":"Sajani Siriwardene,&nbsp;Mahmud Ashraf,&nbsp;Ashim Kumar Debnath","doi":"10.1016/j.trf.2024.12.028","DOIUrl":"10.1016/j.trf.2024.12.028","url":null,"abstract":"<div><div>Merging due to lane closure in work zones is an everyday driving activity that is characteristically different from merging in non-work zone sections. Despite many studies analysing merging behaviour in lane change situations, limited efforts explicitly aimed to understand work zone merging processes, particularly using real-world observational data and to distinguish behavioural patterns for different types of lane closure configurations. To fill these important gaps, this paper analyses merging behaviour in work zones featuring slow lane closure (SLC) and fast lane closure (FLC) using observational data from work zones in Australia. Merging behaviour in terms of merging locations, merging speed, and acceleration/deceleration rate during merging were examined using regression models. The results showed that work zone merging behaviour varied significantly among the SLC and FLC types of lane closure. In an SLC setup, most vehicles merged closer to the taper end, whereas most vehicles in an FLC setup merged well ahead of the taper start area. Traffic and vehicle characteristics, including vehicle type, type of vehicle in front, gap to the target lane lag vehicle, traffic volume, proportion of heavy vehicles, and order of a merging vehicle in a platoon, influenced merging behaviour across both types of sites. Traffic simulation and design of future work zone traffic controls should consider the insights developed on different merging behaviour and their influential factors in SLC and FLC setups.</div></div>","PeriodicalId":48355,"journal":{"name":"Transportation Research Part F-Traffic Psychology and Behaviour","volume":"109 ","pages":"Pages 556-570"},"PeriodicalIF":3.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143099977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}