IATSS Research最新文献_第5页

Developing rear-end and side-swipe conflict prediction models for urban signalized intersections under disordered traffic conditions 开发无序交通条件下城市信号灯交叉口追尾和侧擦冲突预测模型

IF 3.2

IATSS Research Pub Date : 2023-12-21 DOI: 10.1016/j.iatssr.2023.12.004

A. Shahana , Perumal Vedagiri

{"title":"Developing rear-end and side-swipe conflict prediction models for urban signalized intersections under disordered traffic conditions","authors":"A. Shahana , Perumal Vedagiri","doi":"10.1016/j.iatssr.2023.12.004","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.12.004","url":null,"abstract":"<div><p>A Traffic Conflict Technique is a proactive approach that identifies observable critical vehicle interactions (conflict) that could have led to a crash. This paper develops conflict-based safety performance functions (SPFs) to predict the number of traffic conflicts at the signal cycle level in mixed traffic conditions with poor lane discipline (disordered traffic conditions). 9586 vehicle trajectories were extracted from traffic video data collected from 4 signalized intersections in India. Critically interacting vehicle pairs were estimated using Time to Collision (TTC). The conventional surrogate measure is modified into a 2-dimensional surrogate approach which captures the conflicts by incorporating the vehicle dimension, heading direction, position, speed, and acceleration in the longitudinal and lateral direction between vehicles. Rear-end and side-swipe conflicts are identified at varying threshold values to incorporate severity. Rear-end conflict SPFs show that higher conflict occurrence is expected during signal cycles with more traffic volume, higher vehicle arrival speed, more right-turning traffic, and a lower platoon ratio. At severe threshold (TTC ≤ 1 s), one 1 m/s increase in speed of vehicle increases the expected number of rear-end conflicts by 6%. Furthermore, SPFs show that severe side-swipe conflicts are expected during signal cycles with more lane-changing maneuvers and right-turning vehicles. For TTC ≤ 1 s, one unit increase in the number of lane changes would increase the expected number of sides-wipe conflicts by 7.9%. The finding of this study can be most beneficially used for arriving at policy measures and improving the safety of signalized intersections in disordered traffic conditions.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000535/pdfft?md5=018948e9d8bcf152947edaeb849fa41c&pid=1-s2.0-S0386111223000535-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138839473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk assessment of pedestrian red-light violation behavior using surrogate safety measures: Influence of human, road, vehicle, and environmental factors 基于替代安全措施的行人红灯违规行为风险评估:人、路、车、环境因素的影响

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.11.003

Abbas Sheykhfard , Farshidreza Haghighi , Shahrbanoo Kavianpour , Subasish Das , Parsa Soleyman Farahani , Grigorios Fountas

{"title":"Risk assessment of pedestrian red-light violation behavior using surrogate safety measures: Influence of human, road, vehicle, and environmental factors","authors":"Abbas Sheykhfard , Farshidreza Haghighi , Shahrbanoo Kavianpour , Subasish Das , Parsa Soleyman Farahani , Grigorios Fountas","doi":"10.1016/j.iatssr.2023.11.003","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.11.003","url":null,"abstract":"<div><p>Pedestrian red-light violation is one of the crucial causes of pedestrian crashes at urban intersections, which cause considerable injuries and casualties to this vulnerable road group of road users. The objective of this study is to evaluate the risk of pedestrian-vehicle collisions by clustering the pedestrians' red-light violations using surrogate safety measures. The present study utilized surveillance camera footage to collect data on pedestrians' red-light violations at two urban intersections in Babol City. Based on critical thresholds of post-encroachment time (PET), Time to Collision (TTC), and Gap Time (GT), three different risk levels of red-light violations were identified through the use of a K-means algorithm. Moreover, structural equation models were developed for each of the risk levels considering variables that are associated with four major components: human, environment, road, and vehicle. Lastly, policy insights into amending pedestrian behavior and promoting traffic safety culture were proposed, with an overarching emphasis on the human factor, due to its identified greater influence on the propensity for red-light violations.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000481/pdfft?md5=d731b2aae3b660980ec3e9c04c65e2e2&pid=1-s2.0-S0386111223000481-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138467423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Receptiveness angle: A new surrogate safety measure for monitoring traffic safety 接受角度：监测交通安全的新替代安全措施

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.11.004

Narayana Raju , Shriniwas Arkatkar , Said Easa

{"title":"Receptiveness angle: A new surrogate safety measure for monitoring traffic safety","authors":"Narayana Raju , Shriniwas Arkatkar , Said Easa","doi":"10.1016/j.iatssr.2023.11.004","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.11.004","url":null,"abstract":"<div><p>This paper presents a framework for monitoring highway traffic-stream measures using quality trajectory data of mixed (heterogeneous) traffic. The framework includes a new measure that reflects the attentiveness of the follower driver, called receptiveness angle<em>,</em> in the vehicle-following process. This measure is integrated with the traditional measures (distance gap between the leader and follower vehicles and their speeds) to model the probabilistic rear-end collision interactions between the two vehicles. To verify the proposed framework, two road sections in India with mixed traffic conditions, located along the same road, were used. One section has no construction activity (base section) and the other has construction activity. The verification consisted of two tasks. First, to trace the movements of the vehicles, trajectory data over the study sections were developed for three traffic-flow levels, where two flow levels between the two sections were comparable. Second, the trajectory data were used to verify the proposed framework which was evaluated for the traffic streams of the two sections at the three traffic-flow levels. The results showed that smaller vehicles in the traffic stream exhibited a higher receptiveness angle (paid less attention) compared to other vehicle classes. Interestingly, the study revealed variations in safety among the three traffic-flow levels. It was observed that the traffic stream was safer at stop-and-go conditions than at other flow conditions. Furthermore, due to the pre-cautioning measures for the construction section, vehicles in this section were more attentive than those in the base section.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000493/pdfft?md5=5f9fb22c196e559272b238b4f6628175&pid=1-s2.0-S0386111223000493-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138557236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Empirical evaluation of change in crash risk due to lane marking reallocation: A case study in Kochi City, Japan 车道标线重新分配导致碰撞风险变化的实证评估：日本高知市案例研究

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.12.001

Hiroaki Nishiuchi , Charitha Dias , Satsuki Kawato

{"title":"Empirical evaluation of change in crash risk due to lane marking reallocation: A case study in Kochi City, Japan","authors":"Hiroaki Nishiuchi , Charitha Dias , Satsuki Kawato","doi":"10.1016/j.iatssr.2023.12.001","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.12.001","url":null,"abstract":"<div><p>Lane markings are considered an essential component of a road system. As highlighted in previous studies, they are directly linked to efficiency and safety. The rearrangement or reallocation of lane markings can be an economical way to improve efficiency. However, such changes could influence driver behavior. Thus, there is a tradeoff between efficiency and safety. Through a case study in Kochi City, Japan, this study evaluated the change in crash risk caused by a lane marking reallocation. Video data were collected before and after the implementation of a new road layout (achieved by reallocating lane markings) that was intended to mitigate traffic congestion at a signalized intersection. Based on the video data, PICUD (Possibility Index for Collision with Urgent Deceleration), a surrogate safety index used to estimate collision risk, was estimated for lane changes and conflicts between leading and following vehicles in the through lane. In particular, it was confirmed that the collision risk between a lane-changing vehicle and a leading vehicle in the through lane was reduced due to the reduction in traffic density caused by the new road layout. In addition, the results indicate that the PICUD value tends to decrease (i.e., the crash risk tends to increase) with increasing speed of the following vehicle relative to the leading vehicle. Overall, the improvement in safety after the implementation of the new road layout was marginal and statistically insignificant. Therefore, this study highlights the necessity of incorporating speed control measures, such as speed limits, along with congestion alleviation measures in order to enhance safety.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S038611122300050X/pdfft?md5=77d5cd585be64acdbca4416d26748283&pid=1-s2.0-S038611122300050X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138678276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of trip frequency choice of commute trips in the context of COVID-19 in India: A hybrid choice modelling approach with generalized ordered logit kernel 印度 COVID-19 背景下的通勤出行频率选择分析：使用广义有序对数核的混合选择建模方法

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.12.003

Bh. Aaditya, T.M. Rahul

{"title":"Analysis of trip frequency choice of commute trips in the context of COVID-19 in India: A hybrid choice modelling approach with generalized ordered logit kernel","authors":"Bh. Aaditya, T.M. Rahul","doi":"10.1016/j.iatssr.2023.12.003","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.12.003","url":null,"abstract":"<div><p>The paradigm shift in mobility and travel behaviour caused by the successive waves of the COVID-19 pandemic has been unreal. The long-term effects of the pandemic resulting from the fear of the spread of the virus against the belief in the remedial measures are to be understood from a behavioural perspective to strengthen the current transportation system against such impediments. The current study adds to the literature on COVID-19 pandemic by unravelling the long-term impacts of the pandemic on the trip frequency of commute trips. A dataset of 467 individuals from all over India is analysed to understand the factors impacting the willingness of the respondents to reduce their commute trips in a post-vaccinated scenario. An integrated choice and latent variable structure, with a generalized ordered logit kernel, was considered to incorporate the influence of psycho-attitudinal variables and socio-demographics on the willingness to reduce trip frequency among individuals. The results indicate a significant impact for variables including fear of the virus spread, age of individuals, and job satisfaction of working from home on the stated willingness towards trip reduction. The study concludes by presenting policy measures that target to overcome the effects of the pandemic and restore normalcy.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000523/pdfft?md5=2807e6e4085e6dc03b12e9a6cae83308&pid=1-s2.0-S0386111223000523-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138678518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Carbon neutrality in transport sector 运输部门的碳中和

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.06.002

Masanobu Kii

引用次数: 0

Examining the effect of vehicle type on right-turn crossing conflicts of minor road traffic at unsignalized T-intersections 研究车辆类型对无信号灯 T 型交叉路口小型道路交通右转交叉冲突的影响

IF 3.2

IATSS Research Pub Date : 2023-12-01 DOI: 10.1016/j.iatssr.2023.12.002

Someswara Rao Bonela, B. Raghuram Kadali

{"title":"Examining the effect of vehicle type on right-turn crossing conflicts of minor road traffic at unsignalized T-intersections","authors":"Someswara Rao Bonela, B. Raghuram Kadali","doi":"10.1016/j.iatssr.2023.12.002","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.12.002","url":null,"abstract":"<div><p>In India, the crossing conflicts between right-turn vehicles of minor road traffic and conflicting vehicles on major roads have become more severe at unsignalized T-intersections in recent times. Due to the rapid growth of vehicular traffic, including motorized two-wheelers, auto-rickshaws, etc., results in an increase in right-turn crossing conflicts (RTCC) at unsignalized T-intersections. The severity of right-turn vehicles is related to the characteristics of both right-turning and conflicting through vehicles. Therefore, this study examines the effect of vehicle types on RTCC. The RTCC are observed using time-to-collision (TTC), at five unsignalized T-intersections in three different cities in India. The RTCC are categorized into critical RTCC and non-critical RTCC based on TTC threshold values obtained by the k-means clustering algorithm. A Generalized Poisson Regression model was developed using Python software. The study results revealed that the presence of higher composition of two-wheelers, auto-rickshaws, and cars in right-turn and conflicting through vehicles significantly influences the severity of RTCC. Also, the model results concluded that the speeds of right-turn and conflicting through vehicles, conflicting through traffic, right-turn traffic, vehicle gap, waiting time, and abnormal driving paths significantly affect the RTCC at unsignalized T-intersections. The findings of this study help traffic engineers and safety experts identify the critical unsignalized T-intersections using the number of right-turn crossing conflicts.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000511/pdfft?md5=9ada6287ec9d68a8a256c88ae23fcd4d&pid=1-s2.0-S0386111223000511-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138678517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perceptions towards autonomous vehicle acceptance: Information mining from Self-Organizing Maps and Random Forests 对自动驾驶汽车接受度的看法:来自自组织地图和随机森林的信息挖掘

IF 3.2

IATSS Research Pub Date : 2023-11-24 DOI: 10.1016/j.iatssr.2023.11.002

Apostolos Ziakopoulos , Christina Telidou , Apostolos Anagnostopoulos , Fotini Kehagia , George Yannis

{"title":"Perceptions towards autonomous vehicle acceptance: Information mining from Self-Organizing Maps and Random Forests","authors":"Apostolos Ziakopoulos , Christina Telidou , Apostolos Anagnostopoulos , Fotini Kehagia , George Yannis","doi":"10.1016/j.iatssr.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.11.002","url":null,"abstract":"<div><p>The present research investigates a range of factors affecting autonomous vehicle (AV) acceptance of Greek citizens through a questionnaire distributed to 563 respondents. Following the extraction of descriptive statistics, self-organizing maps (SOMs) were employed to meaningfully categorize and aggregate questions pertaining to four main pillars of the questionnaire, which are conceptually relevant namely: (i) how several factors affect general car choices of respondents, (ii) what the respondents perceived that AVs would offer, (iii) how much they agreed with stated expected technology and efficiency-oriented AV traits and (iv) how they believe several factors affect driving behavior overall. A Random Forest (RF) algorithm was applied to classify the AV acceptance decisions of a training subset of the respondents, and was subsequently assessed on a test subset. SOM results indicate that participants can be meaningfully separated into two SOM cluster groups for pillars (i), (ii) and (iv), while pillar (iii) yielded separations into three SOM cluster groups. RF feature importance calculation indicated a number of affecting variables; the five most contributing ones are: distance covering capabilities of AVs was a major factor affecting acceptance decisions, followed (by a wide margin) by responder opinions on whether the principles and conscience of drivers can be replaced by an AI navigator without reducing safety levels, while the algorithm itself conducted successful classification to about 80% of test cases. Present results can be used to anticipate AV penetration levels based on sample characteristics and to improve AV traits in cases where higher AV penetration is sought.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S038611122300047X/pdfft?md5=da47557f29b5fae70c820885b02bc03f&pid=1-s2.0-S038611122300047X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138413604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and evaluation of a Bayesian network model for preventing distracted driving 防止分心驾驶的贝叶斯网络模型的开发与评价

IF 3.2

IATSS Research Pub Date : 2023-11-08 DOI: 10.1016/j.iatssr.2023.11.001

Ramina Javid , Eazaz Sadeghvaziri , Mansoureh Jeihani

{"title":"Development and evaluation of a Bayesian network model for preventing distracted driving","authors":"Ramina Javid , Eazaz Sadeghvaziri , Mansoureh Jeihani","doi":"10.1016/j.iatssr.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.11.001","url":null,"abstract":"<div><p>Distracted driving is one of the most significant factors leading to fatal car crashes. Using a cell phone while driving is one of the riskiest behaviors while driving and is the cause of death for hundreds of drivers in the United States. Distraction prevention technologies, such as cell phone blocking apps that limit the functioning of cell phones while the car is moving, are one strategy for combating distracted driving. The main goal of this study is to investigate the effect of cell phone blocking apps on driving behaviors and crashes caused by distracted driving using a machine learning algorithm. Some 158 participants were recruited from the state of Maryland to investigate their driving behavior using a state-specific survey. The results of the survey revealed that most people have cell phone blocking apps (62.6%); however, they do not use them on a daily basis (86.7%). A Bayesian network model was then deployed, and the results showed that if all drivers use cell phone blocking apps, crashes occurring due to distraction from cell phone use will decrease by 5 %, and self-reported distraction will decrease by 9 %. The results of this study can be used to detect distracted driving and find the best strategies to overcome this problem. The results also suggest that there should be a greater degree of awareness of distraction prevention technologies and education on the use of these technologies among different groups to reduce the number of fatalities, injuries, and crashes due to distraction.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000468/pdfft?md5=6ad66706acea8d111c58d17aef0aefd6&pid=1-s2.0-S0386111223000468-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92101413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A survey on public acceptance of automated vehicles across COVID-19 pandemic periods in China 2019冠状病毒病疫情期间中国公众对自动驾驶汽车的接受度调查

IF 3.2

IATSS Research Pub Date : 2023-11-03 DOI: 10.1016/j.iatssr.2023.10.002

Jue Li, Zhiqian Hu, Long Liu

{"title":"A survey on public acceptance of automated vehicles across COVID-19 pandemic periods in China","authors":"Jue Li, Zhiqian Hu, Long Liu","doi":"10.1016/j.iatssr.2023.10.002","DOIUrl":"https://doi.org/10.1016/j.iatssr.2023.10.002","url":null,"abstract":"<div><p>Automated vehicles (AVs) are not yet widely accepted by the public, and the COVID-19 pandemic has the potential to lead to a shift in attitudes toward travel modes and vehicles because of travel restrictions and the risk of viral transmission. Therefore, it is necessary to understand how AVs are being accepted by the public during the pandemic. This study investigated public acceptance of AVs across two periods of the COVID-19 epidemic prevention and control in China via 19-question online surveys, including the travel modes, AVs acceptance, and sociodemographic. A total of 429 responses were collected. Results showed that the public acceptance of AVs was on the positive side, but was diverse in items: the average extra cost willing to pay for a fully AV was 28,855.88 CNY (4116.39 USD), and 26.8% of respondents were not willing to pay for it. Respondents agreed on the benefits of AVs and are concerned about legal liability for drivers and fuel economy, and had a positive attitude of commercial AVs. Most acceptance items had differences between the pandemic periods, indicating that people were more willing to accept AVs during period with higher risk of infection. However, only the difference in perceived benefits of AV of ensuring social distance was statistically significant. Gender, age, and ownership of vehicle had greater effects on AVs acceptance, while driving ability and driving experience had small effects on it. This survey can provide insights for studies examining the acceptance of AVs across time, and exploring factors influencing AVs acceptance.</p></div>","PeriodicalId":47059,"journal":{"name":"IATSS Research","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0386111223000456/pdfft?md5=5578b1c257cef1e7bb0163d2bd1cc37a&pid=1-s2.0-S0386111223000456-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92101412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0