检索结果-内蒙古大学图书馆

Optimal operating strategy of short turning lines for the battery electric bus system

Communications in transportation Research 2021年第1期1卷 193-204页

作者： Wenwei Zhang Hui Zhao Min Xu Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityHung HomHong KongChina MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport School of Traffic and TransportationBeijing Jiaotong UniversityBeijing100044China

Operating short turning line is an efficient strategy to satisfy the unevenly distributed demand during peak periods while reducing operational ***,for the battery electric bus(BEB)system,the application of the strategy is challenging due to the disadvantages of BEBs,such as limited driving mileage and long charging *** vehicle configuration and charging scheduling may dramatically increase the operational cost and cut the benefits of these *** this work,we propose a general framework to design an effective short turning strategy for the BEB system at a tactical planning ***,the trade-off relationship between the battery capacity and the average trip time is identified by modeling the BEBs ***,a microeconomic model is formulated to jointly optimize the frequencies and charging schedules of the whole bus line and the short turning line,to effectively minimize passengers’waiting time and operational ***,numerical experiments have been carried out for an illustrative linear line to demonstrate the potential benefits of the sub-line operating strategy compared with the normal operation.

关键词： Battery electric bus Short turning line Microeconomic model Charging station

来源：评论

学校读者我要写书评

暂无评论

Research on Equipment Operation and Maintenance Management technology of Large Railway Passenger Station 5th

Research on Equipment Operation and Maintenance Management T...

引用

5th International Conference on Smart Vehicular technology, transportation, Communication and applications, VTCA 2022

作者： Wang, Bozhou Li, Lexi Ni, Shaoquan Chen, Dingjun School of Transportation and Logistics Southwest Jiaotong University Sichuan Chengdu610031 China National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation Southwest Jiaotong University Sichuan Chengdu610031 China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Sichuan Chengdu610031 China

ISBN: (纸本)9789819908479

With the development of informationization and intelligence of railway passenger stations, problems such as inconvenient information interaction, missing operation and maintenance data, and difficulty in accurate positioning of equipment under the existing equipment operation and maintenance management mode have become the focus. In this paper, the operation and maintenance management process of equipment is divided into three stages: fault prediction and warning, fault diagnosis and processing, and fault rule summary. The implementation schemes of key technologies such as data warehouse, data mining, 5G fusion positioning, and electronic fence are given to realize functions such as condition assessment, fault prediction, fault diagnosis, precise positioning, fence warning, and auxiliary decision-making, which can meet the needs of managers and operations people. Research will help to improve the efficiency and safety of equipment operation and maintenance, and have a reference significance for integrated intelligent operation and maintenance technology and the construction of modern passenger stations. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Stability Analysis of Mixed Traffic Flow with Connected and Autonomous Vehicles Based on Simplified DSM Model 23

Stability Analysis of Mixed Traffic Flow with Connected and ...

引用

23rd COTA International Conference of transportation Professionals: Emerging data-Driven Sustainable Technological Innovation in transportation, CICTP 2023

作者： Long, Wenmin Lu, Guangquan Liu, Miaomiao Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang Univ. Beijing China National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology Beihang Univ. Beijing China

ISBN: (数字)9780784485040

ISBN: (纸本)9780784485040

The applications of mobile communication and automatic driving-related technologies in transportation have made a revolution for us in traffic information perception, vehicle cooperative control, and traffic management. Besides, the emergence and development of connected vehicles (CV) and connected and autonomous vehicles (CAV) have gradually changed the traditional traffic flow into a mixed one. In order to investigate their influences and characteristics of mixed traffic flows, this paper constructs an analysis model to derive the linear stability condition of the mixed traffic flow with CV and CAV based on the simplified desired safety margin (SDSM) model. Several numerical experiments are conducted to analyze the string stability of homogeneous and heterogeneous traffic flow, respectively. The results reveal that the presence of CAV could contribute to improving the string stability as well as reducing rear-end crashes. The higher the penetration rate of CAV, the more stable the string. And the time delay in drivers and communications is not conducive to the string stability. Besides, it is also found that controllable vehicles show great potential in preventing shockwave formation and propagation, suggesting a new way in traffic flow management. © ASCE.

关键词： Cooperative communication

来源：评论

学校读者我要写书评

暂无评论

Automatic Labeling for Gene-Disease Associations through Distant Supervision 14

Automatic Labeling for Gene-Disease Associations through Dis...

引用

14th IEEE International Conference on Intelligent Systems and Knowledge engineering, ISKE 2019

作者： Teng, Fei Bai, Meng Li, Tianrui Institute of Artificial Intelligence National Engineering Laboratory Integrated Transportation Big Data Application Technology School of Information Science Technology Southwest Jiaotong University Chengdu China

ISBN: (纸本)9781728123486

Associating genes with diseases is a fundamental challenge in human health with applications of understanding disease properties and developing precision medicine. Over the past decades, biomedical articles increase explosively, which contain a great number of gene-disease associations (GDAs). Association extraction requires annotated corpus of high accuracy, but manual labeling is time consuming and labor intensive. This paper proposes a distant supervision-based method, to automatically label corpus for GDAs extraction. Compared with the manually annotated gold corpus, the automatic labeled corpus has much larger scale and better quality. It improves the performance of state-of-the-art extraction models, with AUC of 0.96, and F1 of 90%. To the best of our knowledge, this is the first study of automatic labeling GDAs in the field of precision medicine. We extracted GDAs using new corpora from 115,261 PubMed abstracts about 29 lung cancers, and finally discovered 296 new genes/proteins related to lung cancers. These findings indicate new directions for drug design. © 2019 IEEE.

关键词： Genes

来源：评论

学校读者我要写书评

暂无评论

A Cooperative Truck Platooning Approach on Ramp Merging Area of Highway in Mixed Traffic 7

A Cooperative Truck Platooning Approach on Ramp Merging Area...

引用

7th IEEE International Conference on transportation Information and Safety, ICTIS 2023

作者： Sang, Xiao Bai, Linhan Zhou, Tao Zheng, Fangfang School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China National United Engineering Laboratory of Integrated and Intelligent Transportation Southwest Jiaotong University Chengdu China Jiangsu Railway Group Nanjing China

ISBN: (纸本)9798350308532

Truck platooning has emerged as a promising solution for improving traffic efficiency on highways. This paper proposes an optimization model for connected automated trucks (CATs) that addresses the trajectory optimization problem for CATs as human-driven trucks (HDTs) merge onto highways from on-ramps in a mixed traffic scenario. To maximize the speed of the mixed traffic system, we propose a mixed integer programming (MIP) model based on a rolling horizon algorithm. The algorithm optimizes CATs' trajectories iteratively, taking into account real-time updates on their driving state, and guides HDTs to follow the trajectories of CATs. The numerical experiments demonstrate that the increasing number of HDTs on the on-ramp negatively impacts the overall system performance, leading to higher traffic delay and reduced system stability. Furthermore, accounting for the stochastic behavior of HDTs can lead to increased instability in the system. Finally, we show that the objective function that comprehensively considers the system speed and platooning time effectively minimizes the delay of all vehicles. © 2023 IEEE.

关键词： Trucks

来源：评论

学校读者我要写书评

暂无评论

Exploring the Non-linear Relationship between E-scooter Ridership and the Built Environment 6

Exploring the Non-linear Relationship between E-scooter Ride...

引用

6th International Conference on transportation Information and Safety, ICTIS 2021

作者： Qiu, Zhongquan Yuan, Hongxia Wang, Chao Dai, Shideng Huo, Yamin Wen, Yi Southwest Jiaotong University Hi-Tech Industrial Development Zone School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Chengdu611756 China Southwest Jiaotong University Hi-Tech Industrial Development Zone School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Transportation Chengdu611756 China University of Tennessee Department of Civil and Environmental Engineering KnoxvilleTN37996 United States

ISBN: (纸本)9781665497138

Shared e-scooter has become a popular mode of transportation in the United States. Despite the increasing attention paid to the e-scooter patterns and the influencing factors of e-scooter trips, few studies have explored the relative importance of the built environment and its threshold effect on e-scooters. Using the trip records of all the shared e-scooters in Austin, Texas, USA from August 2018 to March 2021, the origins and destinations of which are recorded by census tract, this study employs gradient boosting decision trees (GBDT) to examine the non-linear effects of the built environment on the e-scooter ridership. The results show that the relative importance of all built environment factors, with a contribution of 70.45%, is higher than that of socio-demographics (29.54%), and the distance from census tract to city center and bike lane density are the two most essential attributes to e-scooter ridership. Besides, all built environment factors have salient non-linear and threshold effects on the e-scooter ridership. For example, distance to the city center has a significant negative impact on e-scooter trips with an effective range of 6.5 kilometers, and the bike lane density is positively associated with the e-scooter ridership in a certain range. By quantifying each built environment factor's relative importance and threshold effect on e-scooters, this paper can provide e-scooter operators with fleet deployment and operation management suggestions and guide planning departments to build an e-scooter-friendly environment. © 2021 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Research on trans-region integrated traffic emergency dispatching technology based on multi-agent

Research on trans-region integrated traffic emergency dispat...

引用

作者： Yang, Tingyu Peng, Xiaoqian Chen, Dingjun Yang, Feiyu Muneeb Abid, Malik School of Transportation and Logistics Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest JiaoTong University Chengdu China National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation Southwest Jiaotong University Chengdu China Department of Civil Engineering College of Engineering and Technology University of Sargodha Sargodha Pakistan

With the increasingly close links between provinces and municipalities, the complexity and social connectivity of emergencies have gradually increased. How to realize the rapid and scientific dispatch of emergency resources based on the comprehensive transportation network has become a realistic need. However, due to barriers in management and communication between different administrative regions and different modes of transportation, emergency resource scheduling can only be carried out in the region, and the utilization of integrated traffic channels is insufficient to form a good multimodal transport system. The multi-agent system has strong self-organization ability, learning ability and reasoning ability, which solves problems in the fields of dynamic decision-making and micro-simulation and provides ideas for solving the problem of comprehensive traffic emergency dispatching across regions. In this paper, the multi-agent system is introduced into the research of the task assignment problem of trans-regional comprehensive traffic emergency materials dispatching, based on the traditional bidding rules, the emergency dispatch task assignment rules are proposed and multi-agent trans-regional comprehensive traffic emergency dispatching model based on improved bidding rules is established. The simulation results show that the proposed method can break the regional barrier and form a multimodal transport scheme for emergency materials from the reserve point to the demand point under the minimum generalized time cost, providing decision support for emergency dispatch. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

Bicycle Crossing Design and Signal Control Optimization for the Symmetric Intersection 6

Bicycle Crossing Design and Signal Control Optimization for ...

引用

6th International Conference on transportation Information and Safety, ICTIS 2021

作者： Lin, Yexin Liu, Yugang Tang, Liying Zheng, Shuai Chen, Bin Yang, Hongtai Southwest Jiaotong University School of Transportation and Logistics National Engineering Laboratory of Integrated Transportation Big Data Application Technology National United Engineering Laboratory of Integrated and Intelligent Transportation Chengdu China Institute of Transportation Development Strategy & Planning of Sichuan Province Chengdu China

ISBN: (纸本)9781665497138

The symmetric intersection (SI) is a type of unconventional intersection that could increase capacity of the intersection. Although this type of intersection is promising, the bicycle crossing method has not been designed for SI, which prevents it from implementation. In this study, we propose three bicycle crossing designs for the purpose of eliminating the conflict between bicycles and vehicles, and optimize the corresponding signal timing. The first is to reverse the bicycle lane on the right-hand-traffic arterial, so that left-turning bicycles can pass at any time, which can reduce the flow of bicycles through the conflicting area of the intersection. The second is to use an advanced stop line, which moves the stop line backwards and sets up a bicycle waiting area in the front to reduce the conflict between bicycles and vehicles. The third is to set up an exclusive phase for bicycles to separate vehicles and bicycles. A linear programming model that maximizes the capacity of the intersection for vehicles considering constraints such as signal phase and cycle duration is established to calculate the signal timing. A case study is performed to determine the optimal signal timing of each condition. The results show that the scheme of advanced stop lines could reduce delays and increase capacity of the intersection for bicycles, but the capacity for vehicles is reduced, and thus should be used when the traffic demand of motor vehicles is not high. In the condition of high-throughput vehicles, the exclusive phase for bicycles perform better. © 2021 IEEE.

关键词： Bicycles

来源：评论

学校读者我要写书评

暂无评论

Study on Fine-Grained Traffic Pollution Monitoring in Urban Area 10th

Study on Fine-Grained Traffic Pollution Monitoring in Urban ...

引用

10th International Conference on Environment Pollution and Prevention, ICEPP 2022

作者： Peng, Xin Liu, Runzhe Yang, Feilong Wen, Yi Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China Panzhihua University Panzhihua China

ISBN: (纸本)9789819974474

Fine-grained monitoring methods such as mobile sensing and grid-based network provide an effective approach to describe the traffic pollution distribution in urban areas. However, how to optimize the monitoring performance is still a problem to be solved. Based on the field data, adopting Kennard-Stone (KS) algorithm, Kriging, Natural Neighbor Tessellation (NNT), and Inverse Distance Weighting (IDW), this paper further studies the scientific mobile monitoring sampling frequency and monitoring network placement strategy applied to infer the surrounding traffic pollution. Experimental results illustrated that different pollutants are specific to mobile sampling frequency and estimation method. For PM2.5, NNT performs better than Kriging and IDW. The accurate distribution pattern of PM2.5 can be inferred when the mobile sampling frequency is every 60 m a sample (RMSPE = 9.98%). For CO2, IDW reaches higher inferring quality, which basically gets access to the surrounding distribution pattern at a sampling frequency of every 10.59 m a sample (RMSPE = 14.63%). Meanwhile, the monitoring network placement strategy for different pollutants is consistent. A spatially uniform distribution strategy can preferably infer the surrounding traffic pollution distribution as fewer detectors are planned to be deployed in the region. The conclusions of this paper may provide guidance for fine-grained traffic pollution monitoring and facilitating strategies in preventing and controlling traffic pollution in smart cities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Kriging

来源：评论

学校读者我要写书评

暂无评论

Fine-Grained Traffic Pollution Monitoring and Estimation: A Case Study in Chengdu 13th

Fine-Grained Traffic Pollution Monitoring and Estimation: A ...

引用

13th International Conference on Environmental Science and technology, ICEST 2022

作者： Peng, Xin Sun, Zhanbo Liu, Runzhe Yang, Feilong Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China Panzhihua University Panzhihua China

ISBN: (纸本)9783031274305

Accurate, fine-grained monitoring and estimation of traffic pollution are essential for preventing people from the health issues caused by air pollution. In this paper, we illustrated the concept of conducting fine-grained spatial interpolation of near-road traffic pollution distribution with mobile monitoring data. Different spatial interpolation techniques, including Kriging, Natural Neighbor Tessellation (NNT), and Inverse Distance Weighted (IDW) were compared. Results show NNT outperforms others especially in the cases of sparse data. This conclusion contributes to the monitoring and estimation of traffic pollution in smart cities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Kriging

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：