2018 21st International Conference on Intelligent Transportation Systems (ITSC)最新文献_第2页

Spatio-Temporal Partitioning of Large Urban Networks for Travel Time Prediction 基于时空划分的大型城市交通网络出行时间预测

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569648

Matej Cebecauer, E. Jenelius, W. Burghout

引用次数: 1

Real-time Stereo Reconstruction Failure Detection and Correction using Deep Learning 基于深度学习的实时立体重建故障检测与校正

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569928

Vlad-Cristian Miclea, L. Miclea, S. Nedevschi

引用次数: 1

Dual-Mode Vehicle Routing in Mixed Autonomous and Non-Autonomous Zone Networks 混合自治和非自治区域网络中的双模式车辆路由

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569344

B. Beirigo, Frederik Schulte, R. Negenborn

{"title":"Dual-Mode Vehicle Routing in Mixed Autonomous and Non-Autonomous Zone Networks","authors":"B. Beirigo, Frederik Schulte, R. Negenborn","doi":"10.1109/ITSC.2018.8569344","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569344","url":null,"abstract":"Autonomous vehicles (AVs) are expected to widely re-define mobility in the future, transforming many solutions into autonomous services. Nonetheless, this development requires an expected transition phase of several decades in which some regions will provide sufficient infrastructure for AV movements, while others will not support AVs yet. In this work, we propose an operational planning model for mobility services operating in regions with AV-ready and not AV-ready zones. To this end, we model detailed automated driving areas and consider a heterogeneous fleet comprised of three vehicle types: autonomous, conventional, and dual-mode. While autonomous and conventional vehicles can only operate in their designated areas, dual-mode vehicles service zone-crossing demands in which both human and autonomous driving are required. For such a hybrid network, we introduce a new mathematical planning model based on a site-dependent variant of the heterogeneous dial-a-ride problem (HDARP). With a numerical study for the city of Delft, The Netherlands, we provide insights into how operational costs, service levels, and fleet utilization develop under 405 scenarios of multiple infrastructural settings and technology costs.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122627996","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}

引用次数: 8

Estimating Baseline Travel Times for the UK Strategic Road Network 估算英国战略道路网络的基线旅行时间

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569924

Alvaro Cabrejas Egea, Peter De-Ford, C. Connaughton

{"title":"Estimating Baseline Travel Times for the UK Strategic Road Network","authors":"Alvaro Cabrejas Egea, Peter De-Ford, C. Connaughton","doi":"10.1109/ITSC.2018.8569924","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569924","url":null,"abstract":"We present a new method for long-term estimation of the expected travel time for links on highways and their variation with time. The approach is based on a time series analysis of travel time data from the UK's National Traffic Information Service (NTIS). Time series of travel times are characterised by a noisy background variation exhibiting the expected daily and weekly patterns punctuated by large spikes associated with congestion events. Some spikes are caused by peak hour congestion and some are caused by unforeseen events like accidents. Our algorithm uses thresholding to split the data into background and spike signals, each of which is analysed separately. The the background signal is extracted using spectral filtering. The periodic part of the spike signal is extracted using locally weighted regression (LWR). The final estimated travel time is obtained by recombining these two. We assess our method by cross-validating in several UK motorways. We use 8 weeks of training data and calculate the error of the resulting travel time estimates for a week of test data, repeating this process 4 times. We find that the error is significantly reduced compared to estimates obtained by simple segmentation of the data and compared to the estimates published by the NTIS system.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114451189","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}

引用次数: 4

Connections between classical car following models and artificial neural networks 经典汽车跟随模型与人工神经网络之间的联系

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569333

Fangyu Wu, D. Work

引用次数: 16

“Peace of Mind”, An Experiential Safety Framework for Automated Driving Technology Interactions “安心”，自动驾驶技术交互的体验式安全框架

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569686

Marika Strano, Fabricio Novak, Shelly Walbert, B. Palmeiro, Sonia Morales, Ignacio J. Alvarez

{"title":"“Peace of Mind”, An Experiential Safety Framework for Automated Driving Technology Interactions","authors":"Marika Strano, Fabricio Novak, Shelly Walbert, B. Palmeiro, Sonia Morales, Ignacio J. Alvarez","doi":"10.1109/ITSC.2018.8569686","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569686","url":null,"abstract":"Current automated driving systems assume drivers continuously monitor the vehicle. Meanwhile, fully automated vehicles aim at not requiring human intervention for their safely operation. The industry is currently debating how these novel systems can be certified under functional safety standards. In this paper, we argue that the current safety picture is not comprehensive enough, since it alienates users. We propose experiential safety as a complement to existing functional safety and to develop a framework for experiential safety interactions between the user and automation in automated driving environments. To support the experiential safety design model, we provide an overview of the user-centered research on experiential automation safety, which includes results from online surveys, personal interviews, and gamified group workshops. We explore current user behaviors by focusing on what makes them feel safe as drivers and passengers, and how unexpected events and automation responses might impact their perception of safety. Among the highlighted results, we show how mismatched expectations and unexpected behaviors from autonomous vehicles can lead to frustration and compromised trust. We also show how automation feedback to the user can generate stress and anxiety if not properly configured and how a cooperative relationship between automation and the driver leads to more satisfying driving experiences. Finally, we present guidelines for the experiential safety to be applied by automotive engineers and designers in their development of automated driving technologies.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122061628","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}

引用次数: 1

Eco-driving at Signalized Intersections: What is Possible in the Real-World? 信号交叉口的生态驾驶:现实世界中可能的情况?

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569588

Geunseob Oh, H. Peng

{"title":"Eco-driving at Signalized Intersections: What is Possible in the Real-World?","authors":"Geunseob Oh, H. Peng","doi":"10.1109/ITSC.2018.8569588","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569588","url":null,"abstract":"A significant amount of fuel is wasted at signalized intersections due to unnecessary braking and idling. Connected Vehicle technologies make future signal phasing and timing (SPaT) information available to drivers. Recent research which utilized SPaT on eco-driving has verified its potential to reduce fuel consumption in simulations and controlled lab tests. In this paper, we propose an eco-driving algorithm and use realworld driving data of 609 human-driven trips undertaken in Ann Arbor, MI. The proposed eco-driving method shows potential fuel savings of 40–50 % while matching human travel time. Results were formulated under the assumption that the vehicle is operating in free-flow traffic, utilizing SPaT of the two consecutive signalized intersections, and equipped with a continuously variable transmission and an internal combustion engine. For each human-driven trip recorded, the proposed method uses Dynamic Programming to determine globally optimal trajectories of three different eco-driving policies: fuel-optimal policy, time-optimal policy, and balanced eco-driving policy. Given the same initial and the final conditions as those of human-driven trips, comparisons are made to demonstrate the real-world benefits of the eco-driving policies. These results can serve as an upper bound of fuel and travel time saving potential of the eco-driving in the vicinity of signalized intersections.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129630499","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}

引用次数: 12

Understanding Tourist Destination Choices from Geo-tagged Tweets 从地理标记推文中了解旅游目的地选择

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569237

M. Hasnat, Samiul Hasan

{"title":"Understanding Tourist Destination Choices from Geo-tagged Tweets","authors":"M. Hasnat, Samiul Hasan","doi":"10.1109/ITSC.2018.8569237","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569237","url":null,"abstract":"Tourism related travels have significant impacts on transportation infrastructures, especially in large tourist attractions such as Florida. It is very expensive to collect individual travel data of a reasonable number of tourists traveling over a large region. Ubiquitous use of social media allows us to collect tourist travel data at a large scale in a cost effective way. This paper presents an analysis of tourist destination choices with longitudinal travel data collected from Twitter. From a collection of geo-tagged tweets, we have filtered out a reliable sample and identified tourists using a data mining approach. Then we find the tourists' destinations inside Florida. We have created a sequence of visited locations and applied a Conditional Random Field (CRF) model to predict the type of a tourists' next destination. The proposed model utilizes the features extracted from tweet posted time and location types. The feature set can be expanded by incorporating content-based features without violating the assumptions of CRF. The data collection steps and results derived from this study will be significantly useful for building an individual-level travel behavior model for tourists using social media data.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128964702","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}

引用次数: 1

Connected Vehicle Enhanced Vehicle Routing with Intersection Turning Cost Estimation 基于交叉口转弯成本估算的互联车辆路径优化

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569246

Hao Yang, K. Oguchi

引用次数: 5

A Two-stage Method to Optimise Driving Strategy and Timetable for High-speed Trains 高速列车行车策略与时刻表优化的两阶段方法

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569734

Sheng Zhao, B. Cai, W. Shangguan

{"title":"A Two-stage Method to Optimise Driving Strategy and Timetable for High-speed Trains","authors":"Sheng Zhao, B. Cai, W. Shangguan","doi":"10.1109/ITSC.2018.8569734","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569734","url":null,"abstract":"Nowadays one of the major priorities for highspeed railways and operators is the reduction of energy consumption, considering the contradiction between limited resources and environmental pollution. Energy-efficient driving strategy and timetable optimization are two effective methods to minimize the energy consumption of high-speed railways. This paper combines driving strategy and timetable integrally to optimise train operation in successive sections. Primarily, the optimization model is established with the crucial objectives of energy consumption and trip time of each section. Then a two-stage approach is designed to solve the problem. First the quantum evolutionary algorithm (QEA) is implemented in order to find the optimal Pareto set of each section quickly and efficiently, and the corresponding Pareto curve can be obtained by fitting. In the second stage, the optimal trip time of each section and optimal operation strategy can be acquired based on internal penalty function (IPF). Finally, the algorithm is implemented in MATLAB with a case study on the regional train operating in four sections from Nanjing South station to Kunshan South station in China to verify the effectiveness of our proposed approaches.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130654851","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}

引用次数: 0