Communications in Transportation Research最新文献_第10页

State of data platforms for connected vehicles and infrastructures 联网车辆和基础设施的数据平台状况

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100013

Kai Li Lim , Jake Whitehead , Dongyao Jia , Zuduo Zheng

{"title":"State of data platforms for connected vehicles and infrastructures","authors":"Kai Li Lim , Jake Whitehead , Dongyao Jia , Zuduo Zheng","doi":"10.1016/j.commtr.2021.100013","DOIUrl":"10.1016/j.commtr.2021.100013","url":null,"abstract":"<div><p>The continuing expansion of connected and electro-mobility products and services has led to their ability to rapidly generate very large amounts of data, leading to a demand for effective data management solutions. This is further catalysed through the need for society to make informed policies and decisions that can properly support their emerging growth. While data systems and platforms exist, they are often proprietary, being only compatible to the products that they are designed for. Given the products and services generate energy and spatial-temporal data that can often correlate, a lack of interoperability between these systems would impede decision making, as data from each system must be considered independently. By studying currently available data platforms and frameworks, this paper weighs the problems that these products address, and identifies necessary gaps for a more cohesive platform to exist. This is performed through a top-down approach, whereby broader vehicle-to-everything approaches are first studied, before moving to the components that could comprise a data platform to integrate and ingest these various data feeds. Finally, potential design considerations for a data platform is presented, along with examples of application benefits that would enable users to make more informed and holistic decisions about current mobility options.</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/S2772424721000135/pdfft?md5=e387e8afe64d1b4ef18913c2ae35bce1&pid=1-s2.0-S2772424721000135-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86439555","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: 26

Is uncertainty always bad for the performance of transportation systems? 不确定性总是不利于运输系统的性能吗?

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100021

Wei Wang, Yiwei Wu

引用次数: 54

Diverging effects of subjective prospect values of uncertain time and money 时间和金钱不确定的主观前景值的发散效应

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100007

Kun Gao , Ying Yang , Xiaobo Qu

{"title":"Diverging effects of subjective prospect values of uncertain time and money","authors":"Kun Gao , Ying Yang , Xiaobo Qu","doi":"10.1016/j.commtr.2021.100007","DOIUrl":"10.1016/j.commtr.2021.100007","url":null,"abstract":"<div><p>Studies from behavioral economics show that the subjective prospect value of money has diminishing sensitivity to losses/gains, represented by an S-shape, and this has been applied in representing the subjective prospect value of time in many transportation studies such as travel behavior modeling and network equilibrium. In this study, we demonstrate that the prospect value of time has an increasing sensitivity to losses/gains and can be represented by an Ϩ-shape, which contrasts that of money. We further explain the rationality of this surprising finding based on psychological and behavioral theories and discuss extensive practical implications. The correlations between sensitivities to gains and losses in terms of magnitude are revealed as well to shed light on potential underlying correlated behavioral principles. Substantial loss-aversion features are observed in the empirical analysis, supporting endowment effects. Implications of the findings on decision-making and other areas that utilize time as a key indicator have been discussed. The findings may revolutionize many research areas that utilize time as a key indicator such as transportation engineering.</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/S277242472100007X/pdfft?md5=68b22e66dd4b3b5fb639a32257e98480&pid=1-s2.0-S277242472100007X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82862368","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: 25

DeepTSP: Deep traffic state prediction model based on large-scale empirical data DeepTSP:基于大规模经验数据的深度交通状态预测模型

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100012

Yang Liu , Cheng Lyu , Yuan Zhang , Zhiyuan Liu , Wenwu Yu , Xiaobo Qu

{"title":"DeepTSP: Deep traffic state prediction model based on large-scale empirical data","authors":"Yang Liu , Cheng Lyu , Yuan Zhang , Zhiyuan Liu , Wenwu Yu , Xiaobo Qu","doi":"10.1016/j.commtr.2021.100012","DOIUrl":"10.1016/j.commtr.2021.100012","url":null,"abstract":"<div><p>Real-time traffic state (e.g., speed) prediction is an essential component for traffic control and management in an urban road network. How to build an effective large-scale traffic state prediction system is a challenging but highly valuable problem. This study focuses on the construction of an effective solution designed for spatio-temporal data to predict the traffic state of large-scale traffic systems. In this study, we first summarize the three challenges faced by large-scale traffic state prediction, i.e., scale, granularity, and sparsity. Based on the domain knowledge of traffic engineering, the propagation of traffic states along the road network is theoretically analyzed, which are elaborated in aspects of the temporal and spatial propagation of traffic state, traffic state experience replay, and multi-source data fusion. A deep learning architecture, termed as <strong>Deep T</strong>raffic <strong>S</strong>tate <strong>P</strong>rediction (DeepTSP), is therefore proposed to address the current challenges in traffic state prediction. Experiments demonstrate that the proposed DeepTSP model can effectively predict large-scale traffic states.</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/S2772424721000123/pdfft?md5=6af2e05d57e6f9d6bfc6c60dc5783352&pid=1-s2.0-S2772424721000123-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73740391","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: 49

Investigating the impacts of urban speed limit reduction through microscopic traffic simulation 通过微观交通模拟研究城市限速降低的影响

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100018

Mánuel Gressai, Balázs Varga, Tamás Tettamanti, István Varga

{"title":"Investigating the impacts of urban speed limit reduction through microscopic traffic simulation","authors":"Mánuel Gressai, Balázs Varga, Tamás Tettamanti, István Varga","doi":"10.1016/j.commtr.2021.100018","DOIUrl":"https://doi.org/10.1016/j.commtr.2021.100018","url":null,"abstract":"<div><p>Road traffic congestion has become an everyday phenomenon in today's cities all around the world. The reason is clear: at peak hours, the road network operates at full capacity. In this way, growing traffic demand cannot be satisfied, not even with traffic-responsive signal plans. The external impacts of traffic congestion come with a serious socio-economic cost: air pollution, increased travel times and fuel consumption, stress, as well as higher risk of accidents. To tackle these problems, a number of European cities have implemented reduced speed limit measures. Similarly, a general urban speed limit measure is in preparatory phase in Budapest, Hungary. In this context, a complex preliminary impact assessment is needed using a simulated environment. Two typical network parts of Budapest were analyzed with microscopic traffic simulations. The results revealed that speed limits can affect traffic differently in diverse network types indicating that thorough examination and preparation works are needed prior to the introduction of speed limit reduction.</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/S2772424721000184/pdfft?md5=4a86c383a39acc8ffcafd53c16fed0b2&pid=1-s2.0-S2772424721000184-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137057473","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

Are shared electric scooters energy efficient? 共享电动滑板车节能吗?

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100022

Yuxuan Wang , Jiaming Wu , Kequan Chen , Pan Liu

{"title":"Are shared electric scooters energy efficient?","authors":"Yuxuan Wang , Jiaming Wu , Kequan Chen , Pan Liu","doi":"10.1016/j.commtr.2021.100022","DOIUrl":"10.1016/j.commtr.2021.100022","url":null,"abstract":"<div><p>Shared electric scooters (e-scooter) are booming across the world and widely regarded as a sustainable mobility service. An increasing number of studies have investigated the e-scooter trip patterns, safety risks, and environmental impacts, but few considered the energy efficiency of e-scooters. In this research, we collected the operational data of e-scooters from a major provider in Gothenburg to shed light on the energy efficiency performance of e-scooters in real cases. We first develop a multiple logarithmic regression model to examine the energy consumption of single trips and influencing factors. With the regression model, a Monte Carlo simulation framework is proposed to estimate the fleet energy consumption in various scenarios, taking into account both trip-related energy usage and energy loss in idle status. The results indicate that 40% of e-scooter battery energy was wasted in idle status in the current practice, mainly due to the relatively low usage rate (0.83) of e-scooters. If the average usage rate drops below 0.5, the wasted energy could reach up to 53%. In the end, we present a field example to showcase how to optimally integrate public transport with e-scooters from the perspective of energy efficiency. We hope the findings of this study could help understand and resolve the current and future challenges regarding the ever-growing e-scooter services.</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/S2772424721000226/pdfft?md5=76597315c9402ed26fb7ea0d1c7cb186&pid=1-s2.0-S2772424721000226-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81188576","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: 17

Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM) 基于视频的深度学习高粒度高速公路仿真轨迹提取

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100014

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}

引用次数: 30

The effect of ride experience on changing opinions toward autonomous vehicle safety 乘坐体验对自动驾驶汽车安全性看法变化的影响

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100003

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}

引用次数: 46

Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic 混合自主多车道公路交通中互联自动驾驶车辆的亲社会控制

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100019

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}

引用次数: 0

Communications in Transportation Research: Vision and scope 交通研究中的通讯:视野与范围

Communications in Transportation Research Pub Date : 2021-12-01 DOI: 10.1016/j.commtr.2021.100001

Xiaobo Qu , Shuaian Wang

引用次数: 17