Xiaowei Shi , Dongfang Zhao , Handong Yao , Xiaopeng Li , David K. Hale , Amir Ghiasi
{"title":"Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM)","authors":"Xiaowei Shi , Dongfang Zhao , Handong Yao , Xiaopeng Li , David K. Hale , Amir Ghiasi","doi":"10.1016/j.commtr.2021.100014","DOIUrl":"10.1016/j.commtr.2021.100014","url":null,"abstract":"<div><p>High-granularity vehicle trajectory data can help researchers develop traffic simulation models, understand traffic flow characteristics, and thus propose insightful strategies for road traffic management. This paper proposes a novel vehicle trajectory extraction method that can extract high-granularity vehicle trajectories from aerial videos. The proposed method includes video calibration, vehicle detection and tracking, lane marking identification, and vehicle motion characteristics calculation. In particular, the authors propose a Monte-Carlo-based lane marking identification approach to identify each vehicle's lane. This is a challenging problem for vehicle trajectory extraction, especially when the aerial videos are taken from a high altitude. The authors applied the proposed method to extract vehicle trajectories from several high-resolution aerial videos recorded from helicopters. The extracted dataset is named by the High-Granularity Highway Simulation (HIGH-SIM) vehicle trajectory dataset. To demonstrate the effectiveness of the proposed method and understand the quality of the HIGH-SIM dataset, we compared the HIGH-SIM dataset with a well-known dataset, the NGSIM US-101 dataset, regarding the accuracy and consistency aspects. The comparison results showed that the HIGH-SIM dataset has more reasonable speed and acceleration distributions than the NGSIM US-101 dataset. Also, the internal and platoon consistencies of the HIGH-SIM dataset give lower errors compared to the NGSIM US-101 dataset. To benefit future research, the authors have published the HIGH-SIM dataset online for public use.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000147/pdfft?md5=9ef534362f55ca64e1d805fc202b1e16&pid=1-s2.0-S2772424721000147-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85754954","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}
Xiaowei Shi , Zhen Wang , Xiaopeng Li , Mingyang Pei
{"title":"The effect of ride experience on changing opinions toward autonomous vehicle safety","authors":"Xiaowei Shi , Zhen Wang , Xiaopeng Li , Mingyang Pei","doi":"10.1016/j.commtr.2021.100003","DOIUrl":"10.1016/j.commtr.2021.100003","url":null,"abstract":"<div><p>Autonomous vehicles (AVs) are a promising emerging technology that is likely to be widely deployed in the near future. People's perception on AV safety is critical to the pace and success of deploying the AV technology. Existing studies found that people's perceptions on emerging technologies might change as additional information was provided. To investigate this phenomenon in the AV technology context, this paper conducted real-world AV experiments and collected factors that may associate with people's initial opinions without any AV riding experience and opinion change after a successful AV ride. A number of ordered probit and binary probit models considering data heterogeneity were employed to estimate the impact of these factors on people's initial opinions and opinion change. The study found that people's initial opinions toward AV safety are significantly associated with people's age, personal income, monthly fuel cost, education experience, and previous AV experience. Further, the factors dominating people's opinion change after a successful AV ride include people's age, personal income, monthly fuel cost, daily commute time, driving alone indicator, willingness to pay for AV technology, and previous AV experience. These results provide important references for future implementations of the AV technology. Additionally, based on the inconsistent effects for variables across different models, suggestions for future transportation survey designs are provided.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.commtr.2021.100003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"109478282","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}
Jacob Larsson , Musa Furkan Keskin , Bile Peng , Balázs Kulcsár , Henk Wymeersch
{"title":"Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic","authors":"Jacob Larsson , Musa Furkan Keskin , Bile Peng , Balázs Kulcsár , Henk Wymeersch","doi":"10.1016/j.commtr.2021.100019","DOIUrl":"https://doi.org/10.1016/j.commtr.2021.100019","url":null,"abstract":"<div><p>We propose pro-social control strategies for connected automated vehicles (CAVs) to mitigate jamming waves in mixed-autonomy multi-lane traffic, resulting from car-following dynamics of human-driven vehicles (HDVs). Different from existing studies, which focus mostly on ego vehicle objectives to control CAVs in an individualistic manner, we devise a pro-social control algorithm. The latter takes into account the objectives (i.e., driving comfort and traffic efficiency) of both the ego vehicle and surrounding HDVs to improve smoothness of the entire observable traffic. Under a model predictive control (MPC) framework that uses acceleration and lane change sequences of CAVs as optimization variables, the problem of individualistic, altruistic, and pro-social control is formulated as a non-convex mixed-integer nonlinear program (MINLP) and relaxed to a convex quadratic program through converting the piece-wise-linear constraints due to the optimal velocity with relative velocity (OVRV) car-following model into linear constraints by introducing slack variables. Low-fidelity simulations using the OVRV model and high-fidelity simulations using PTV VISSIM simulator show that pro-social and altruistic control can provide significant performance gains over individualistic driving in terms of efficiency and comfort on both single- and multi-lane roads.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000196/pdfft?md5=acbab8cff4ba51aea10b8bbfb61c0406&pid=1-s2.0-S2772424721000196-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137057472","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}
{"title":"Communications in Transportation Research: Vision and scope","authors":"Xiaobo Qu , Shuaian Wang","doi":"10.1016/j.commtr.2021.100001","DOIUrl":"10.1016/j.commtr.2021.100001","url":null,"abstract":"","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.commtr.2021.100001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"108252888","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}
{"title":"Modelling lane-changing execution behaviour in a connected environment: A grouped random parameters with heterogeneity-in-means approach","authors":"Yasir Ali , Zuduo Zheng , Md Mazharul Haque","doi":"10.1016/j.commtr.2021.100009","DOIUrl":"10.1016/j.commtr.2021.100009","url":null,"abstract":"<div><p>Lane-changing is performed either to follow the route to a planned destination (i.e., mandatory lane-changing) or to achieve better driving conditions (i.e., discretionary lane-changing). A connected environment is expected to assist during lane-changing manoeuvres, but it is not known well how driving aids in a connected environment assist lane-changing execution. As such, this study investigates the impact of a connected environment on lane-changing execution time during mandatory and discretionary lane-changing manoeuvres. To this end, this study designed an advanced driving simulator experiment where 78 drivers performed these manoeuvres on a simulated motorway in three randomised driving conditions. The conditions were baseline (without driving aids), a fully functioning connected environment with a perfect supply of driving aids, and an impaired connected environment with delayed driving aids. The lane-changing execution time has been modelled by a random parameters hazard-based duration modelling approach, which accounts for the panel nature of data and captures the unobserved heterogeneity. Results suggest that, compared to the baseline condition (i.e., a non-connected environment), most of the drivers in the connected environment take more time to complete their lane-changing manoeuvres, indicating drivers’ safer lane-changing execution behaviour in the connected environment. The communication delay driving condition has been found to have more deteriorating effects on mandatory lane-changing manoeuvres than discretionary lane-changing manoeuvres. This study concludes that (i) the connected environment increases safety margin during both lane-changing manoeuvres, and (ii) a higher magnitude of safety margin is observed during mandatory lane-changing manoeuvres whereby drivers have a higher need for assistance.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000093/pdfft?md5=892edbfc57a2b5ac32567d999e0958e8&pid=1-s2.0-S2772424721000093-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77252343","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}
{"title":"Data management, communication systems and the edge: Challenges for the future of transportation","authors":"Ahmed Ali-Eldin, Erik Elmroth","doi":"10.1016/j.commtr.2021.100024","DOIUrl":"10.1016/j.commtr.2021.100024","url":null,"abstract":"","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277242472100024X/pdfft?md5=9b44e3d126b8759db85017d89153e8d3&pid=1-s2.0-S277242472100024X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83994811","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}
{"title":"Efficient transport pricing–why, what, and when?","authors":"Jonas Eliasson","doi":"10.1016/j.commtr.2021.100006","DOIUrl":"10.1016/j.commtr.2021.100006","url":null,"abstract":"<div><p>Striking a balance between societal benefits and costs of transportation lies at the heart of transport planning and transport systems analysis. Increased transport and urbanization enable the many benefits of modern socieities through specialization of labour, production and lifestyles – but these trends simultaneously increase the drawbacks of transportation, such as carbon emissions, congestion, noise and air quality problems. Technical developments and improved infrastrastructure can help reduce these drawbacks, but they do not solve the fundamental problem that those reaping the benefits of transport – travellers, firms, customers – do not perceive the full social costs of transportation. To balance transport costs and benefits, efficient pricing is necessary. Despite a wealth of theoretical arguments, technical developments and substantial practical experience, efficient transport pricing is still rare. Focusing on the example of urban congestion pricing, this paper summarizes why transport pricing is needed, lessons learnt from practical experience, and what the main obstacles are. The two most important obstacles seem to be political power struggles between different levels of governments, and that even if total social gains vastly exceed total social losses, the losses tend to be more salient; losers tend to be easy to identify, while winners tend to be more dispersed and perhaps only exist in the future.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.commtr.2021.100006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86556378","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}
{"title":"Bi-level optimization model applications in managing air emissions from ships: A review","authors":"Jingwen Qi , Shuaian Wang , Harilaos Psaraftis","doi":"10.1016/j.commtr.2021.100020","DOIUrl":"10.1016/j.commtr.2021.100020","url":null,"abstract":"<div><p>Ship air emissions are recognized as one of the key concerns of the maritime industry. Competent authorities have issued various regulations to manage air emissions from ships. Although the authorities are policy makers, the effectiveness of policies is up to the shipping industry who operates the vessels and terminals to fulfill maritime transportation works. Given this characteristic, bi-level optimization model has been widely adopted in studies that optimize policy design or evaluate its effectiveness. The framework of a typical bi-level optimization model for ship emission management problem is given to show the basic structure of similar issues. A series of applications of bi-level optimization model in managing ship emissions is reviewed, including cases of Energy Efficiency Design Index, Emissions Control Area, Market Based Measure, Carbon Intensity Indicator, and Vessel Speed Reduction Incentive Program. We hope this paper can enlighten scholars interested in this area and provide help for them.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000202/pdfft?md5=c4ca984e1c2e597a9b9db5c81df20dc2&pid=1-s2.0-S2772424721000202-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73843224","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}
Inon Peled , Kelvin Lee , Yu Jiang , Justin Dauwels , Francisco C. Pereira
{"title":"On the quality requirements of demand prediction for dynamic public transport","authors":"Inon Peled , Kelvin Lee , Yu Jiang , Justin Dauwels , Francisco C. Pereira","doi":"10.1016/j.commtr.2021.100008","DOIUrl":"10.1016/j.commtr.2021.100008","url":null,"abstract":"<div><p>As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effective PT operation? We address this question through an experimental case study of PT trips in Metropolitan Copenhagen, Denmark, which we conduct independently of any specific prediction models. First, we simulate errors in demand prediction through unbiased noise distributions that vary considerably in shape. Using the noisy predictions, we then simulate and optimize demand-responsive PT fleets via a linear programming formulation and measure their performance. Our results suggest that the optimized performance is mainly affected by the skew of the noise distribution and the presence of infrequently large prediction errors. In particular, the optimized performance can improve under non-Gaussian vs. Gaussian noise. We also find that dynamic routing could reduce trip time by at least 23<em>%</em> vs. static routing. This reduction is estimated at 809,000 €/year in terms of Value of Travel Time Savings for the case study.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000081/pdfft?md5=e22663d33f50cc71e516ba43c686f997&pid=1-s2.0-S2772424721000081-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75147547","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}
Ran Yan , Shuaian Wang , Lu Zhen , Gilbert Laporte
{"title":"Emerging approaches applied to maritime transport research: Past and future","authors":"Ran Yan , Shuaian Wang , Lu Zhen , Gilbert Laporte","doi":"10.1016/j.commtr.2021.100011","DOIUrl":"10.1016/j.commtr.2021.100011","url":null,"abstract":"<div><p>Maritime transport is the backbone of international trade and globalization. Maritime transport research can be roughly divided into two categories, namely the shipping side and the port side. Most of the classic approaches adopted to address practical problems in these research topics are based on long-term observations and expert knowledge, while few of them are based on historical data accumulated from practice. In recent years, emerging approaches, which we refer to as machine learning and deep learning techniques in this essay, have been receiving a wider attention to solve practical problems. As a relatively conservative industry, there are some initial trials of applying the emerging approaches to solve practical problems in the maritime sector. The objective of this essay is to review the application of emerging approaches to maritime transport research. The main research topics in maritime transport and classic methods developed to solve them are first presented. The introduction of emerging approaches and their suitability to be applied in maritime transport research is then discussed. Related existing studies are then reviewed according to problem settings, main data sources, and emerging approaches adopted. Challenges and solutions in the process are also discussed from the perspectives of data, model, users, and targets. Finally, promising future research directions are identified. This essay is the first to give a comprehensive review of existing studies on developing machine learning and deep learning models together with popular data sources used to address practical problems in maritime transport.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424721000111/pdfft?md5=a96a551d33c4cecc06c58c5719b17ee8&pid=1-s2.0-S2772424721000111-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84824515","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}