{"title":"Characteristics of Rear-End Collisions: A Comparison between Automated Driving System-Involved Crashes and Advanced Driving Assistance System-Involved Crashes","authors":"Chunxi Huang, Xiao Wen, Dengbo He","doi":"10.1177/03611981231209319","DOIUrl":"https://doi.org/10.1177/03611981231209319","url":null,"abstract":"With the increasing number of vehicles equipped with automated driving systems (ADS) being tested on public roads and the expanding market share of vehicles equipped with advanced driving assistance systems (ADAS), the number of ADS- or ADAS-involved crashes increases. Thus, it is necessary to investigate the distribution of ADS- and ADAS-involved crashes and the factors leading to them. The rear-end collision has been found to dominate ADS-involved crashes. However, no research has explored the conditions when ADS-involved rear-end collisions are more likely to happen and no research has investigated ADAS-involved rear-end crashes. Based on 130 ADS-involved crashes and 84 ADAS-involved crashes extracted from a dataset collected by the National Highway Traffic Safety Administration (NHTSA) between July 2021 and May 2022, this study explored the crash patterns, especially rear-end crashes, of ADS- and ADAS-controlled vehicles. Results show that rear-end collisions dominate both ADS- and ADAS-involved crashes, especially ADAS-involved crashes. The type of both ADS-involved and ADAS-involved crashes was affected by the speed of the ego-vehicle relative to the posted speed limit. Further, the type of ADS-involved crash was affected by the pre-crash movement of the crash partner, while the type of ADAS-involved crash was further associated with the road type. The findings can provide insights into the design of ADAS and ADS control algorithms, the external human-machine interface design of the vehicles with ADS or ADAS, and the training program of human road users to improve traffic safety in mixed traffic.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"02 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138605886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Walking and Walkability in Delhi: Dissonance between Environmental Perception and Behavior","authors":"A. Mondschein","doi":"10.1177/03611981231210541","DOIUrl":"https://doi.org/10.1177/03611981231210541","url":null,"abstract":"Prior research on perceived walkability finds generally positive associations between walkability, walking behavior, and well-being. However, these relationships are little examined in the Global South, particularly in locations with significant environmental stressors. This study examined relationships between perceived walkability, walking behavior, and subjective well-being, using a survey of residents in two neighborhoods in Delhi, India. In particular, it examined whether perceived walkability covaried with walking behavior under conditions of environmental stress, and how walking and perceptions of the walking environment affected subjective well-being. Following a descriptive examination of mobility and perceptions, the concept of “walking dissonance” was empirically operationalized, a condition in which individuals walk frequently despite negative perceptions of walkability. Multivariate linear regression assessed the relationship between walking dissonance and subjective well-being, controlling for other factors. The results showed that in these neighborhoods, perceptions of low environmental quality were associated with perceptions of poor walking conditions. Nevertheless, walking behavior did not consistently correlate with these perceptions. Conflict between walking perceptions and behavior may be associated with impacts to well-being that should concern decision makers investing in transportation infrastructure and the built environment.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Rodriguez-Valencia, Juan Pablo Nieto-Uribe, Santiago Mesa-Garcia, G. A. Barrero, Hernan Alberto Ortiz-Ramirez, Jose Agustin Vallejo-Borda
{"title":"Evaluating Airport Terminals from the Users’ Perspective: Are Service, Experience, Liking, and Satisfaction Equivalent?","authors":"A. Rodriguez-Valencia, Juan Pablo Nieto-Uribe, Santiago Mesa-Garcia, G. A. Barrero, Hernan Alberto Ortiz-Ramirez, Jose Agustin Vallejo-Borda","doi":"10.1177/03611981231201108","DOIUrl":"https://doi.org/10.1177/03611981231201108","url":null,"abstract":"In the era of globalization and the deregulation of the air transportation industry, public and private stakeholders have been increasingly interested in making airports attractive for passengers and airlines. Multiple service-like indicators (i.e., satisfaction, experience, liking, and quality of service) have been used to evaluate transportation infrastructure and systems, including airport terminals. Despite literature providing a clear definition of the different indicators separately, the similarities and differences are not clear, nor is it clear whether they are equivalent and could be used interchangeably. The purpose of this paper is to further understanding of the roots and essence of the four frequently used service indicators (SIs) in airport terminals—namely satisfaction, liking, quality of service, and experience—by comparing regressors. Using a travelers’ perception survey ( N = 377) at the domestic terminal in Bogotá’s El Dorado Airport, we found that, despite their correlation, the four service proxies were, in essence, different from each other conceptually, meaning that they have to be carefully chosen for the successful evaluation of a terminal. Each SI comprises different categories, representing a unique user perception. Recognizing and acknowledging that all these terms are different furthers the transparency in defining what each indicator measures.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139197311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparative Analysis of Discrete Choice Approaches for Modeling Destination Choices of Urban Home-Based Trips to Work","authors":"Sílvia Vitali Santos Mauad, C. Isler","doi":"10.1177/03611981231203226","DOIUrl":"https://doi.org/10.1177/03611981231203226","url":null,"abstract":"Discrete choice models based on the Random Utility Maximization (RUM) approach are alternatives to traditional aggregated trip distribution models. However, the Random Regret Minimization (RRM) approach has emerged as an alternative to RUM for analyzing behavioral phenomena. This study compares the RUM and RRM approaches to model the destination choice of urban home-based trips to work, with a case study in the city of São Paulo, Brazil. The attributes of distance between traffic analysis zones (TAZs), total number of jobs, and number of jobs per type (industry and services) were considered, and the attributes referring to TAZs in commercial areas were tested in different models. We combined a method to estimate the optimal choice set size and a stratified sampling method to choose alternatives from available choices for a destination-choice problem with many alternatives. The RUM and RRM models produced similar results with respect to the final log-likelihood, [Formula: see text], Akaike information criterion, and Bayesian information criterion for the studied case. However, the RRM models required 52 min to be estimated on average, whereas estimation of the RUM models took only 31 s on average. Models derived from the RUM approach including the total number of jobs and distance produced higher accuracy, requiring less computational time to estimate the parameters.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"182 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139204619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing the Spatial Transferability of Direct Demand Models for Estimating Pedestrian Volumes at Intersections","authors":"Lucas Tito Pereira Sobreira, B. Hellinga","doi":"10.1177/03611981231205881","DOIUrl":"https://doi.org/10.1177/03611981231205881","url":null,"abstract":"Direct demand (DD) models are an important tool for estimating annual average daily pedestrian traffic (AADPT) for all intersections in a jurisdiction. These models associate socioeconomic and land-use variables with pedestrian exposure and allow the estimation of AADPT for sites where pedestrian counts are not (readily) available. However, some jurisdictions lack pedestrian volume counts from a sufficiently large number of intersections to develop their own DD model or do not have the institutional resources to carry out the model development. Under these circumstances, a cost-effective alternative is to use DD models that were developed in other jurisdictions. Previous research evaluated the spatial transferability of DD models in scenarios where no pedestrian counts are available (i.e., naïve transferability) and showed that this resulted in large estimation errors. This paper examines methods to improve the estimation accuracy of spatially transferred DD models by using AADPT that is readily accessible to jurisdictions (we call this local calibration). Five local calibration models were proposed and evaluated using observed field counts and synthesized counts from three jurisdictions. The best model to use is a function of the number of local jurisdiction sites for which pedestrian counts are available. When pedestrian volume is available for 10% of the sites, Model C presented the best results for the synthetic approach: an average improvement of 8.7% when comparing the locally calibrated and naïve estimates. Using real AADPTs and very limited samples for local calibration, Model C also presented the best performance: an average improvement of 35.0%.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139208255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating the Interplay between Trajectory Segmentation and Mode Inference Error","authors":"Gabriel Kosmacher, K. Shankari","doi":"10.1177/03611981231208154","DOIUrl":"https://doi.org/10.1177/03611981231208154","url":null,"abstract":"Travel behavior changes are essential to transportation decarbonization. Travel diaries, consisting of sequences of trips between places, are typically used to instrument human travel behavior. However, these diaries are only as accurate as the underlying methods used to construct them. Travel diary algorithms have been a popular research topic since the advent of Global Positioning System tracking surveys. These algorithms have typically been validated using prompted recall of presegmented trips, thus disregarding the continuity of mode inference. Phone operating systems have adopted battery-conserving techniques, but the resulting data collection errors have not been studied extensively. We introduce a framework to evaluate the accuracy of trip length computations and mode inference by analyzing continuous mode-segmented trajectories for groups of trips. We then use the framework to identify the input data quality and the impact of postprocessing. Our primary inputs to this evaluation are MobilityNet, a public dataset containing information from three artificial timelines covering 15 different travel modes, and sample open-source travel diary creation algorithms from the OpenPATH project. Our framework concretely shows that the variance of the distance error drops from [Formula: see text] to [Formula: see text] (Android, iOS) after postprocessing. Similarly, the weighted F-scores for mode inference increase from [Formula: see text] to [Formula: see text] (iOS, Android) between random forest and geographic information system-based models. We hope that this standardized method will be adapted to evaluate other, potentially proprietary, travel diary algorithms. The results can be used to understand and improve the state of the art in the travel diary creation field.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of Game Refinement Theory to Automated Driving","authors":"Xiaohan Kang, Wenliang Qiu, Hiroyuki Iida, Bidisha Ghosh","doi":"10.1177/03611981231207841","DOIUrl":"https://doi.org/10.1177/03611981231207841","url":null,"abstract":"In recent years, assisted driving and self-driving have captured the imagination of manufacturers, designers, technology providers, and the general public with the expectation of a sustainable, safer, and intelligent mobility in the near future. Self-driving or assisted driving vehicles are complex systems that integrate environmental perception, intelligent planning and decision-making, tracking, and control. With the increasing intelligence of vehicles, personalized design is an inevitable trend. A design that is in line with the driver’s personality can bring a better driving experience to the driver. Thus, classifying driving types while driving in a self-driving environment may play an important role in the construction of trajectory planning algorithms. This paper uses the motion-in-mind model from game refinement theory to model driver behavior. Further, a classification of the model parameters into three categories helped in distinguishing cautious, aggressive, and average drivers. The results showed that the self-driving environment can be successfully modeled as a game and adaptation to match the riders’ driving skills may improve satisfaction.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pascal Gastineau, Arnaud Can, B. F. Yameogo, Leonardo G. Luquezi, P. Hankach, P. Vandanjon, Valentin Le Bescond
{"title":"Modeling Exposure to Mobility-Related Pollution: Review and Key Challenges","authors":"Pascal Gastineau, Arnaud Can, B. F. Yameogo, Leonardo G. Luquezi, P. Hankach, P. Vandanjon, Valentin Le Bescond","doi":"10.1177/03611981231208907","DOIUrl":"https://doi.org/10.1177/03611981231208907","url":null,"abstract":"The health and equity issues related to urban pollution, coupled with the need to assess the consequences of implementing transport policies or new mobility solutions, make it imperative to provide decision-makers with a relevant modeling framework. The coupling of activity-based travel models with environmental models presents a promising approach to thoroughly investigate the interconnected issues related to the impact of road traffic on individual exposure to noise and air pollution. Integrated modeling chains provide a robust framework to comprehensively assess traffic scenarios on a city scale and address issues related to environmental inequalities. This article reviews the recent work in this field to identify both the main contributions and key challenges still to be addressed. It illustrates how the use of a dynamic approach, which considers the intraday dynamics of individual mobilities and pollution concentrations, can contribute to more accurate estimates of the exposure of individuals to pollutants. This modeling approach also has the potential to investigate how the level of exposure depends on the characteristics of the individuals (socioeconomic factors, commuting patterns, location of residence, and main activities). Nonetheless, there are still important challenges to overcome to further enhance the accuracy and applicability of these models: taking into account all types of traffic and transport modes; refining the modeling of exposure to pollution during travel; taking better consideration of microenvironments; and so forth.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jordan Hankin, Meghna Chakraborty, Timothy J. Gates, P. Savolainen, Travis Holpuch, Matthew Motz
{"title":"Evaluation of Auxiliary Signing for Driveway Assistance Devices at Low-Volume Access Points within One-Lane, Bidirectional Work Zones","authors":"Jordan Hankin, Meghna Chakraborty, Timothy J. Gates, P. Savolainen, Travis Holpuch, Matthew Motz","doi":"10.1177/03611981231208905","DOIUrl":"https://doi.org/10.1177/03611981231208905","url":null,"abstract":"Work zone traffic control presents unique challenges during single-lane closures on two-lane, two-way facilities. In these circumstances, traffic regulators (i.e., flaggers or temporary signals) ensure alternating one-way travel in the work zone. However, the use of traffic regulators becomes less practical at mid-segment low-volume access points, such as driveways and minor intersections, within the lane closure. These locations present additional risk for flaggers and, owing to financial infeasibility, are often rendered without traffic control. A recently developed experimental traffic control treatment, the driveway assistance device (DAD), is designed to provide guidance to motorists for a safe entrance into the lane closure from low-volume access points. As this device is relatively new, much is still unknown about the optimal device design and operation to provide the highest compliance. To address this, a field study was performed to evaluate driver compliance associated with DADs implemented at a series of driveways along a one-lane, two-way work zone along a state highway in northern Michigan. As little guidance exists for DAD auxiliary signage, the field study specifically sought to compare the effects of five different sign messages utilized with the DAD. The driver compliance data revealed that the most effective sign messages were those that included “Turn” instead of “Yield,” a prominent “WAIT” message at the top, in addition to a supplemental “No Turn on Red” sign. Based on these findings, DADs are recommended for continued experimental use along with appropriate auxiliary signage at work zones where one-lane, two-way traffic is being maintained.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"283 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139233957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Twin Framework for Bridge Structural Health Monitoring Utilizing Existing Technologies: New Paradigm for Enhanced Management, Operation, and Maintenance","authors":"Aaron M. Costin, Alireza Adibfar, Jennifer Bridge","doi":"10.1177/03611981231208908","DOIUrl":"https://doi.org/10.1177/03611981231208908","url":null,"abstract":"Bridges are one of the most important elements of a sustainable transportation infrastructure network and require significant care to guarantee they function in a safe and reliable manner. Ensuring effective bridge maintenance and life cycle management in the face of aging and deterioration requires precise performance data and efficient assessment technologies. Because of the overall mediocre quality of U.S. infrastructure, there is a crucial need to enhance its monitoring and management. Digital twin is an emerging and promising concept that can offer the required solution. Advances in sensors, computing, communications, and predictive data analytics, coupled with biannual inspections, offer a wealth of bridge assessment data that will need a centralized digital twin framework for integration, analysis, and optimal decision-making with regard to maintenance. Leveraging and integrating these technologies in the new paradigm of a bridge digital twin will provide state transportation agencies with additional resources not previously available to enhance bridge operation and maintenance. A major value of a digital twin is the new knowledge created by the integration of information resources. This paper provides a framework for bridge digital twin that incorporates existing technologies, namely, building information modeling, structural health monitoring, intelligent transportation systems, and geographic information systems. The paper also provides an overview of practical applications and use cases of digital twin for bridges and structures, and offers an assessment of the challenges posed by the technology.","PeriodicalId":309251,"journal":{"name":"Transportation Research Record: Journal of the Transportation Research Board","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}