International Conference on Vehicle Technology and Intelligent Transport Systems最新文献_第7页

Evaluation of Embedded Camera Systems for Autonomous Wheelchairs 自主轮椅嵌入式摄像系统的评价

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007678700760085

C. Vilar, Benny Thörnberg, Silvia Krug

引用次数: 5

Cross-provider Platoons for Same-day Delivery 跨供应商的同日交货排

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007689601060116

Sînziana-Maria Sebe, Philipp Kraus, J. Müller, Stephan Westphal

{"title":"Cross-provider Platoons for Same-day Delivery","authors":"Sînziana-Maria Sebe, Philipp Kraus, J. Müller, Stephan Westphal","doi":"10.5220/0007689601060116","DOIUrl":"https://doi.org/10.5220/0007689601060116","url":null,"abstract":"Platooning – vehicles travelling close together behaving as a unit – aims to improve network throughput both on highways and in urban traffic. We study the problem of platoon formation in an urban environment using the scenario of logistic service providers equipped with fleets of autonomously driving pods to carry out same-day delivery tasks by creating cross-provider platoons. The novelty of our work is that we investigate the problem of cross-provider platoons, i.e., platoons with members from different self-interested logistic service providers. Our aim is to study platoon formation mechanisms and possible benefits of cross-provider platooning using simulation. We formulate optimal platoon formation as an integer linear optimisation problem (ILP), aiming to find the longest sub-routes to be shared between vehicles by platooning. The proposed method was implemented and tested on a mesoscopic model to simulate platoon formation and operation, on real network data with realistic background traffic models. Comparing our method to a simpler route matching algorithm reveals comparable system level performance; however, our method performs better with respect to local participant utility, i.e.appears more suited to take vehicle/provider preferences into account.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132657252","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

A Heuristic Decision Maker Algorithm for Opportunistic Networking in C-ITS C-ITS中机会网络的启发式决策者算法

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007799005780585

Rodrigo Silva, C. Couturier, J. Bonnin, T. Ernst

引用次数: 4

Prediction of Bike Mobility in Cascais's Sharing System Cascais共享系统中自行车移动性的预测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007724401810192

N. Oliveira, Maricica Nistor, André Dias

{"title":"Prediction of Bike Mobility in Cascais's Sharing System","authors":"N. Oliveira, Maricica Nistor, André Dias","doi":"10.5220/0007724401810192","DOIUrl":"https://doi.org/10.5220/0007724401810192","url":null,"abstract":"Bike sharing systems offer a convenient, ecologic, and economic transport mode that has been increasingly adopted. However, the distribution of bikes is often unbalanced, which decreases user satisfaction and potential revenues. Moreover, bike sharing literature is mostly focused on the prediction of demand on large scale systems and uses simulations for the assessment of relocation operations to increase the number of utilizations. We propose prediction models based on machine learning approaches to improve the bike sharing re-balancing in a small city of Portugal. The algorithm aims to improve three metrics, namely (1) increase the number of utilizations, (2) reduce the number of stations without bikes, (3) reduce the time without available bikes in the stations. The relocation operations are validated using real data. Our findings show that (a) the estimated number of utilizations created by this system is substantially higher than the current system by 223%, (b) our model allows the correct identification of more 70%, 165%, 249% empty stations with the same or substantially higher precision than the existing approach, (c) the total time of bike unavailability reduced by the predictive model is 283% higher than the time reduced by current approach (1,394,454 vs 363,971 minutes).","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124527078","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

Parking Occupancy Detection using Thermal Camera 利用热像仪检测停车场占用情况

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007726804830490

V. Paidi, H. Fleyeh

{"title":"Parking Occupancy Detection using Thermal Camera","authors":"V. Paidi, H. Fleyeh","doi":"10.5220/0007726804830490","DOIUrl":"https://doi.org/10.5220/0007726804830490","url":null,"abstract":"Parking a vehicle is a daunting task during peak hours. The search for a parking space leads to congestion and increased air pollution. Information of a vacant parking space would facilitate to reduce congestion and subsequent air pollution. This paper aims to identify parking occupancy in an open parking lot which consists of free parking spaces using a thermal camera. A thermal camera is capable of detecting vehicles in any weather and light conditions based on emitted heat and it can also be installed in public places with less restrictions. However, a thermal camera is expensive compared to a colour camera. A thermal camera can detect vehicles based on the emitted heat without any illumination. Vehicles appear bright or dark based on heat emitted by the vehicles. In order to identify vehicles, pre-trained vehicle detection algorithms, Histogram of Oriented Gradient detectors, Faster Regional Convolutional Neural Network (FRCNN) and modified Faster RCNN deep learning networks were implemented in this paper. The detection rates of the detectors reduced with diminishing of heat in the vehicles. Modified Faster RCNN deep learning network produced better detection results compared to other detectors. However, the detection rates can further be improved with larger and diverse training dataset.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301351","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: 10

Vehicle Fleet Prediction for V2G System - Based on Left to Right Markov Model 基于从左到右马尔可夫模型的V2G系统车辆预测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-04-28 DOI: 10.5220/0006762604170422

O. Shimizu, Akihiko Kawashima, S. Inagaki, Tatsuya Suzuki

{"title":"Vehicle Fleet Prediction for V2G System - Based on Left to Right Markov Model","authors":"O. Shimizu, Akihiko Kawashima, S. Inagaki, Tatsuya Suzuki","doi":"10.5220/0006762604170422","DOIUrl":"https://doi.org/10.5220/0006762604170422","url":null,"abstract":"The regulations for internal combustion vehicles, CO2 or NOx emission or noise and so on, are strengthened. Therefore EV (electric vehicle)'s market is expanding. The amount of EV get more, the amount of electric get more and the impact for grid that are voltage fluctuation and frequency fluctuation is concerned. V2G (Vehicle to Grid) can solve this problem, but it has a constraint that EV’s battery can be used during it parked. So as the basic technology, the prediction the vehicles’ state that is driving or parked is important. In this research, machine learning algorithm for predicting vehicle fleet's states is developed. The data for study and test is obtained by person-trip survey. The algorithm is based on left to right Markovmodel. The states are stay or drive from an area to an area. Future state probability is predicted using the latest observed state and state transition probability. As the result, the prediction error of stay is less than the prediction error of drive. Therefore study data and test data are separated into sunny day and rainy day, the prediction error becomes less.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123913633","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

Automatic Fault Detection using Cause and Effect Rules for In-vehicle Networks 基于因果规则的车载网络故障自动检测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-04-15 DOI: 10.5220/0006792605370544

Alexander Kordes, Sebastian Wurm, Hawzhin Hozhabrpour, Roland Wismüller

{"title":"Automatic Fault Detection using Cause and Effect Rules for In-vehicle Networks","authors":"Alexander Kordes, Sebastian Wurm, Hawzhin Hozhabrpour, Roland Wismüller","doi":"10.5220/0006792605370544","DOIUrl":"https://doi.org/10.5220/0006792605370544","url":null,"abstract":"In-vehicle networks (IVNs) connect Electronic Control Units (ECUs) for automotive applications. Most of the communication on the IVNs directly affect the comfort or even the safety of the driver. Therefore, it is necessary to monitor these systems in order to find the cause and effect of a fault. Current developments use plausibility checks in automotive ECUs to enhance safety and security. Within the LEICAR project in cooperation with INVERS GmbH we focus on all sensors signals recorded directly from CAN bus IVNs for this positional paper. Even without the knowledge of the sensors semantics it is possible to extract cause and effect rules for all recorded sensor signal relationships of the vehicle, map them in a graph and extract certain situations. The proposed solution detects direct and slowly evolving changes even if they propagate across several involved sensor values. For the automatic fault containment we extract features from the cause and effect rules to train a machine learning model in order to make predictions on new data. Besides that it is possible to implement optimized error checking procedures for the involved ECUs.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132450608","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: 2

Context-Aware Travel Support During Unplanned Public Transport Disturbances 意外公共交通干扰时的情景感知旅行支持

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-03-19 DOI: 10.3390/SU11061649

Åse Jevinger, Emil Johansson, J. Persson, Johan Holmberg

{"title":"Context-Aware Travel Support During Unplanned Public Transport Disturbances","authors":"Åse Jevinger, Emil Johansson, J. Persson, Johan Holmberg","doi":"10.3390/SU11061649","DOIUrl":"https://doi.org/10.3390/SU11061649","url":null,"abstract":"Travel support for public transport today usually takes no or little account of the traveler’s personal needs and current context. Thereby, travelers are often suggested irrelevant travel plans, which may force them to search for information from other sources. In particular, this is a problem during unplanned disturbances. By incorporating the traveler’s context information into the travel support, travelers could be provided with individually tailored information. This would especially benefit travelers who find it more difficult than others to navigate the public transport system. Furthermore, it might raise the accessibility and general attractiveness of public transport. This paper contributes with an understanding of how information about the traveler’s context can enhance the support provided by travel planners, in the case of disturbances in public transport. In particular, the paper includes a high-level analysis of how and in which situations context information can be useful. The analysis shows how information about the traveler’s context can improve travel planners, as well as highlights some risks in relation to some identified scenarios. Several technologies for retrieving information about the physical context of the traveler are also identified. The study is based on a literature review, a workshop, and interviews with domain experts.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303735","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: 5

Dynamic Cloud-based Vehicle Apps - Information Logistics in Disaster Response 基于动态云的车辆应用程序——灾害响应中的信息物流

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-03-05 DOI: 10.5220/0006815606260635

O. Gusikhin, Ayush Shah, Omar Makke, A. Smirnov, N. Shilov

{"title":"Dynamic Cloud-based Vehicle Apps - Information Logistics in Disaster Response","authors":"O. Gusikhin, Ayush Shah, Omar Makke, A. Smirnov, N. Shilov","doi":"10.5220/0006815606260635","DOIUrl":"https://doi.org/10.5220/0006815606260635","url":null,"abstract":"The efficient management of transportation networks during disruptions caused by manmade accidents or natural disasters is a major attribute of the Resilient Smart City Transportation. There have been extensive research and development towards intelligent automatic disaster response systems. The majority of the proposed systems provide information logistics to the response team. In general, motorists caught in the disaster area typically tend to “go with the flow” or operate in an unorganized manner that may hamper the emergency response efforts. Connected vehicle technology and interactive vehicle applications enable the possibility to provide personalized information to individual motorists. This paper proposes the concept of dynamic vehicle applications integrated with cloud-based intelligent disaster response command and control system to facilitate evacuation, personalized routing, volunteering, and information gathering. The intelligent back end extends the knowledge based disaster response system for professional responders to automatically generate the guidance for the individual participant. The proposed dynamic vehicle applications leverage open source SmartDeviceLink interface and Node.js.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122296024","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: 2

Bus Schedule Rationalisation - An Analysis of Trip Completion Times 巴士时间表合理化-行程完成时间分析

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2018-09-08 DOI: 10.5220/0006711904030410

Shankar Venkatagiri, Manish Kumar, Munish Kaushik

引用次数: 0