2018 21st International Conference on Intelligent Transportation Systems (ITSC)最新文献_第9页

Identifying Station-Link Correlation for Target Passenger Flow Control in Subway Network 地铁网络目标客流控制的站-线相关性识别

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569533

Zhaocheng He, Yixian Chen, Lijun Sun, Jiaming Zhong, Yiting Zhu

{"title":"Identifying Station-Link Correlation for Target Passenger Flow Control in Subway Network","authors":"Zhaocheng He, Yixian Chen, Lijun Sun, Jiaming Zhong, Yiting Zhu","doi":"10.1109/ITSC.2018.8569533","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569533","url":null,"abstract":"Subway systems of most metropolitan cities worldwide are suffering from the problem of overloaded passenger flow especially during rush-hour of weekday. To address it, passenger flow control strategy is widely adopted by developing subway system in order to improve the operational efficiency and ensure passengers' safety. However, current strategy is usually formulated by the subjective experience of operation staff at each station. Their inability to grasp the correlation between station flow and link flow in the entire subway network can possibly cause reverse effect and passengers' dissatisfaction. In this paper, a new coordinated-based passenger flow control method, using the internal relation of stations and links, is proposed to handle this issue during rush-hour of regular weekday with the aim of minimizing the negative impact on irrelevant travelers. Using this approach, one can determine the target control stations with specific control strength in different period of rush-hour. An experiment is conducted on a realworld subway network in Guangzhou to examine the validity of the method. Result shows that our strategy is more advanced and effective compared to the actual one.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"23 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":"125603256","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

Closed-Loop Planning for Disaster Evacuation with Stochastic Arrivals 随机到达灾害疏散的闭环规划

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569957

Chelsea Sidrane, Mykel J. Kochenderfer

引用次数: 3

You do the talking. Passengers are happy when the automation decides on cooperation 你来说话。当自动化决定合作时，乘客很高兴

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569287

Lorenz Prasch, F. Gebler, Jakob Reinhardt, K. Bengler

{"title":"You do the talking. Passengers are happy when the automation decides on cooperation","authors":"Lorenz Prasch, F. Gebler, Jakob Reinhardt, K. Bengler","doi":"10.1109/ITSC.2018.8569287","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569287","url":null,"abstract":"When driving autonomously, there is huge potential for connected vehicles to improve not only safety and comfort, but also traffic flow or road capacity. Via coordination of the driving maneuvers of several vehicles it is possible to automate cooperative driving behavior and even further increase traffic flow. Humans however do not like to be dominated by automated systems. Hence, the question arises on how an automated system should react if a cooperation would be possible. In order to investigate this, we designed an assistance system that could trigger requests for cooperation in merging scenarios and perform different maneuvers (lane-change or braking) depending on the traffic situation. It provided the participant with sufficient time to either accept or decline incoming requests and when no active choice was made, a default reaction (either cooperative behavior, uncooperative behavior or triggering a take-over request) was shown by the system. Results in terms of cooperation rate and system acceptance indicate that the automation should either behave cooperatively or uncooperatively with a slight favor for cooperative behavior. In general, performing a lane-change in order to enable cooperation was favorable compared to braking.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"131 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":"122698269","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

On-Line Data-Based Load Classification in Narrow-Track Vehicles 基于在线数据的窄轨车辆载荷分类

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569017

D. Isgro, G. Mantegazza, S. Formentin, Giulio Panzani, S. Savaresi

引用次数: 4

An Autonomous Vehicle for Parcel Delivery in Urban Areas 用于城市地区包裹递送的自动驾驶车辆

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569339

Alexander Buchegger, Konstantin Lassnig, Stefan Loigge, Clemens Mühlbacher, Gerald Steinbauer

引用次数: 12

Dynamic strategies optimizing benefits of fully autonomous shared vehicle fleets 动态策略优化全自主共享车队的效益

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569605

Jennie Lioris, H. Salem, R. Seidowsky, J. Lebacque

{"title":"Dynamic strategies optimizing benefits of fully autonomous shared vehicle fleets","authors":"Jennie Lioris, H. Salem, R. Seidowsky, J. Lebacque","doi":"10.1109/ITSC.2018.8569605","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569605","url":null,"abstract":"A constrained optimization framework of a flexible demand responsive transport system is considered. An intelligently administered scheme consisting of unmanned vehicles, requiring no prior seat reservation is introduced ensuring high quality door-to-door services at reduced costs. A decentralized decision making scheme comprised of various model based adaptive control patterns is developed. At any time optimized use of the available vehicle capacity is achieved while keeping cars as busy as possible. Vehicle itineraries are smartly defined according to their current state, traffic conditions and demand as well customer preferences. Tolerated passenger detours are respected while taking into consideration the related client waiting time. The asynchronous system behavior is modeled based on theory and methodology of discrete event dynamic systems (DEDS). Discrete event simulations permit evaluation of the system performance as well optimal tuning of the involved control algorithms. After identification of the desirable DEDS states the system is guided to controllable events infinitely often. As a case study, the city of Paris is considered. A comparative study is conducted appraising the suggested vehicle fleet versus a scheme consisting of self-service autonomous vehicles (SSAV). Metrics on cars, clients and network are presented such as trip durations, client waiting time and queue lengths at nodes, vehicle occupancy etc.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"75 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":"121736529","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

Urban Road Network Operation Quality Evaluation Method Based on High-Frequency Trajectory Data 基于高频轨迹数据的城市路网运行质量评价方法

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569750

Pengfei Lin, Jian-cheng Weng, Baocai Yin, Xiaoping Zhou

{"title":"Urban Road Network Operation Quality Evaluation Method Based on High-Frequency Trajectory Data","authors":"Pengfei Lin, Jian-cheng Weng, Baocai Yin, Xiaoping Zhou","doi":"10.1109/ITSC.2018.8569750","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569750","url":null,"abstract":"Urban traffic congestion has become a big problem that obstructs sustainable urban development. Enhancing the road network operation quality is an effective way to alleviate congestion. The evaluation of urban road network operation quality is different from the congestion evaluation; it is a method for measuring the controllability of urban road network with increasing traffic demand pressure. Based on the two-fluid model of urban macroscopic traffic flow theory, two indicators including the Traffic Smoothness Index (TSI) and the Network Adaptability Index (NAI) were established to describe the urban road network operation quality. The model of large-scale high-frequency trajectory data processing to calculate the operation quality evaluation indicators was proposed. Then, two China cities of Beijing and Shanghai were taken as examples to analyze the operation quality of urban road network. The results show that the quality of the road network operation in Shanghai is better than that of Beijing. The degree of smoothness of the two cities' road network gradually improves from the downtown area to the border of urban area, but the road network in downtown areas have higher adaptability in both cities. The study is of great significance to improve the operation quality of urban road network and the service level of traffic system.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"12 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":"127591152","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

Tactical Decision Making for Cooperative Vehicles Using Reachable Sets 基于可达集的合作车辆战术决策

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569560

Stefanie Manzinger, M. Althoff

引用次数: 19

Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data 多模态CNN行人分类:激光雷达与相机数据相结合的研究

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569666

Gledson Melotti, C. Premebida, Nuno Gonçalves, U. Nunes, D. Faria

{"title":"Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data","authors":"Gledson Melotti, C. Premebida, Nuno Gonçalves, U. Nunes, D. Faria","doi":"10.1109/ITSC.2018.8569666","DOIUrl":"https://doi.org/10.1109/ITSC.2018.8569666","url":null,"abstract":"This paper presents a study on pedestrian classification based on deep learning using data from a monocular camera and a 3D LIDAR sensor, separately and in combination. Early and late multi-modal sensor fusion approaches are revisited and compared in terms of classification performance. The problem of pedestrian classification finds applications in advanced driver assistance system (ADAS) and autonomous driving, and it has regained particular attention recently because, among other reasons, safety involving self-driving vehicles. Convolutional Neural Networks (CNN) is used in this work as classifier in distinct situations: having a single sensor data as input, and by combining data from both sensors in the CNN input layer. Range (distance) and intensity (reflectance) data from LIDAR are considered as separate channels, where data from the LIDAR sensor is feed to the CNN in the form of dense maps, as the result of sensor coordinate transformation and spatial filtering; this allows a direct implementation of the same CNN-based approach on both sensors data. In terms of late-fusion, the outputs from individual CNNs are combined by means of learning and non-learning approaches. Pedestrian classification is evaluated on a ‘binary classification’ dataset created from the KITTI Vision Benchmark Suite, and results are shown for each sensor-modality individually, and for the fusion strategies.","PeriodicalId":395239,"journal":{"name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","volume":"32 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":"115064718","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: 34

Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking 基于混合模型排序的城市交通拥堵评价

2018 21st International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2018-11-01 DOI: 10.1109/ITSC.2018.8569603

Alexander S. Lee, Wei-Hua Lin

引用次数: 1