2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)最新文献

PADENet: An Efficient and Robust Panoramic Monocular Depth Estimation Network for Outdoor Scenes PADENet:一种高效鲁棒的室外全景单目深度估计网络

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294206

Keyang Zhou, Kaiwei Wang, Kailun Yang

引用次数: 11

Structural Observability of Traffic Density Dynamics on a Motorway Ring Road 高速公路环形道路交通密度动态的结构可观测性

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294246

S. Mousavi, Anastasios Kouvelas

{"title":"Structural Observability of Traffic Density Dynamics on a Motorway Ring Road","authors":"S. Mousavi, Anastasios Kouvelas","doi":"10.1109/ITSC45102.2020.9294246","DOIUrl":"https://doi.org/10.1109/ITSC45102.2020.9294246","url":null,"abstract":"In order to control and reduce the congestion in motorway traffic networks, it is required to measure important traffic variables, e.g. densities, that can be observed by sensors. However, to reduce the operational costs, one should look for the most efficient methods to place the minimum number of sensors in a given network. In this paper, we discuss the structural observability of a traffic system, namely, the density dynamics defined on a motorway ring road. For this purpose, LWR theory in a spatial discretization form is employed, and the nonlinear dynamics of the traffic density associated with different cells of the network have been derived. Then, by considering a linearization of the ordinary differential equations (ODEs), we derive the minimum number of sensors that are needed to render the network weakly or strongly structurally observable. In this framework, the parameters of the system can have any nonzero value, and the exact value of nonzero elements (weights) is not of interest. In this work, we also discuss optimal locations in the traffic network to place the minimum set of sensors.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115229914","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: 3

Next-generation wireless networks for V2X 面向V2X的下一代无线网络

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294243

Meng Lu, Jaime Ferragut, M. Kutila, Tao Chen

引用次数: 1

Topology-based control design for congested areas in urban networks 基于拓扑的城市网络拥塞区域控制设计

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294280

L. Tumash, C. Canudas-de-Wit, M. D. Monache

引用次数: 1

A Multi-Step Approach to Accelerate the Computation of Reachable Sets for Road Vehicles 一种加速道路车辆可达集计算的多步方法

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294328

Moritz Klischat, M. Althoff

引用次数: 7

The Effects of the “White Phase” on Intersection Performance with Mixed-Autonomy Traffic Stream 混合自治交通流下“白相位”对交叉口性能的影响

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294741

Ramin Niroumand, Mehrdad Tajalli, L. Hajibabai, Ali Hajbabaie

{"title":"The Effects of the “White Phase” on Intersection Performance with Mixed-Autonomy Traffic Stream","authors":"Ramin Niroumand, Mehrdad Tajalli, L. Hajibabai, Ali Hajbabaie","doi":"10.1109/ITSC45102.2020.9294741","DOIUrl":"https://doi.org/10.1109/ITSC45102.2020.9294741","url":null,"abstract":"This study investigates the effects of the “white phase” on the performance of isolated signalized intersections. During the white phase, connected automated vehicles (CAV) control traffic flow through an intersection, and connected human-driven vehicles (CHV) follow their front vehicle (either CAV or CHV). Traffic controller ensures collision-free movement of vehicles through the intersection by determining 1) the sequence and duration of phases (green and white) and 2) trajectory of CAVs during white phases. White phases can be assigned to conflicting movements simultaneously. We have formulated this problem as a mixed-integer non-linear program (MINLP) and solved it using a receding horizon algorithm. Two demand patterns with five different CAV market penetration rates are used to evaluate the effects of the white phase on mobility and safety in an isolated intersection. Each case study is tested with three different control scenarios: 1) No-white-phase, 2) white-phase-only, and 3) optimal-white-phase activation (combination of white, green, and red phases). The results indicate that the white phase yields significant improvement in intersection performance while maintaining the same safety level.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116105936","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

Reinforcement Learning in Railway Timetable Rescheduling 铁路时刻表重新调度中的强化学习

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294188

Yongqiu Zhu, Hongrui Wang, R. Goverde

引用次数: 9

Automation Malfunction: Behavioral Characteristics of Different User Groups under Forced Transfer of Control* 自动化故障:控制权强制转移下不同用户群体的行为特征*

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294344

H. Davis, Paul Kornyoh, O. Osman, Peter R. Bakhit, Divya Kolasani

{"title":"Automation Malfunction: Behavioral Characteristics of Different User Groups under Forced Transfer of Control*","authors":"H. Davis, Paul Kornyoh, O. Osman, Peter R. Bakhit, Divya Kolasani","doi":"10.1109/ITSC45102.2020.9294344","DOIUrl":"https://doi.org/10.1109/ITSC45102.2020.9294344","url":null,"abstract":"This study presents a driving simulator experiment conducted on 47 drivers to investigate how different populations of users respond to automated system failure. On this account, a major takeover scenario of a level 3 automated vehicle malfunctioning at three high-speed critical curves along a freeway was designed. The drivers are notified with an auditory warning that is triggered instantaneously with the malfunctions, thus indicating a demand to takeover. The reaction time, time to regain control, frequency of time to regain control, frequency of unsafe curves, and type of control were used as measures of users’ behavior. The results show that conservative users may be able to learn how to take control of the car safely compared to aggressive users as they experience more malfunctions. However, there is enough evidence that such group of users are more likely to drop their level of trust in automation if they experience unsafe maneuvers or lose control. These findings are promising as they can help auto-makers better design autonomous vehicles and officials better establish educational programs, which can accommodate different groups of users.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377238","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

Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets 高分辨率信号交叉口数据集的无监督总结与变化检测

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294566

D. Mahajan, Yashaswi Karnati, A. Rangarajan, S. Ranka

引用次数: 1

Advance Estimate-based Traffic State Synchronization for Parallel Testing 基于预估的并行测试流量状态同步

2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Pub Date : 2020-09-20 DOI: 10.1109/ITSC45102.2020.9294748

Weizhi Qiu, W. Shangguan, B. Cai, Linguo Chai, Junjie Chen

{"title":"Advance Estimate-based Traffic State Synchronization for Parallel Testing","authors":"Weizhi Qiu, W. Shangguan, B. Cai, Linguo Chai, Junjie Chen","doi":"10.1109/ITSC45102.2020.9294748","DOIUrl":"https://doi.org/10.1109/ITSC45102.2020.9294748","url":null,"abstract":"Digital twins and parallel system have already been regarded as one of the most effective approaches that give a great impetus to the development of transportation system, especially for the testing of vehicle intelligence. State synchronization, as the main influencer of real-time interaction in a parallel system, determines the testing accuracy and computational efficiency. Despite the fact that the synchronization control is already a well-explored field, the traffic state synchronization in the application of the vehicle testing via virtual-real interaction is still a topic for further research. In this paper, to achieve better synchronization, a path generation method based on the Frenet frame is firstly designed to decompose the object’s motion into the longitudinal and lateral directions, and achieves the trajectory tracking based on the near real-time data sent from the physical space. Then to eliminate the stochastic latency, the advance estimate-based path modification method is proposed to generate a stretch of path in advance. Finally, the integrated approach is implemented in a testing platform and the experimental results prove that the proposed method improves the synchronous rate by an average of 78.4% and 63.7% in the scenario of straight driving and lane changing.","PeriodicalId":394538,"journal":{"name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129718415","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