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Residence-Workplace Spatial Distribution Characteristics Analysis Based on Mobile Phone Data 18

Residence-Workplace Spatial Distribution Characteristics Ana...

18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Du, Shu-Ying Ran, Bin Zhang, Jian Shi, Xiao-Kai Zhang, Xiao-Li Wang, Qing Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China School of Transportation Southeast Univ. China Collaborative Innovation Center for Technology and Application of Internet of Things China Hohai Univ. China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

The spatial distribution relationship between residence and workplace is essential to urban transportation planning. This paper analyzes residence-workplace spatial distribution in Nanjing by using mobile data. First, the raw data was grouped, positioned, and smoothed. Then, this paper identified residence and workplace locations by selecting possible stations, and calculating cumulative duration. Finally, the indexes including commute indicators, commute space distribution, and commute distance applied to analyze the commute features of three different districts: Xinjiekou, Daishan, and Ruanjiandadao. The results show 87.16% of residents work inside the district and that the commute distance of Xinjiekou residents is only 2.32 km. Up to 41.66% of residents work in the other districts and for Daishan residents the commute distance is 6.49 km. In Ruanjiandaao, 37.14% of workers come from the other districts and the commute distance of workers is 8.36 km. © 2018 American Society of Civil Engineers.

关键词： Spatial distribution

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Floating Population and Resident Population Identification Based on Gaussian Mixture Model Using Origin-Destination Indexes Generated by Cellphone Data 18

Floating Population and Resident Population Identification B...

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18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Hong, Yang Ran, Bin Zhang, Jian Ji, Xinkai Yang, Fan School of Transportation Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Key Laboratory of Urban ITS Southeast Univ. Nanjing China Research Center for Internet of Mobility Southeast Univ. Nanjing China Jiangsu Prov. Collaborative Innovation Center for Technology and Application of Internet of Things Southeast Univ. Nanjing China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Southeast Univ. Nanjing China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

Floating population differs from permanent population in transportation traits in multiple aspects, including points of interests, travel path selection, time of travel, etc. It is difficult for traditional an origin-destination (OD) survey to obtain travel characteristics for floating population effectively, but cellphone data can provide us with an opportunity to investigate floating population. This paper proposes an algorithm for identifying floating population and permanent population from user cellular data. The mobile data are transferred to sparse trajectory data by preprocessing, and OD pairs are extracted. Numerical indexes describing OD are calculated for each individual and input to a Gaussian mixture model for clustering into permanent population and residential population. A case study in Nanjing showed that the proposed algorithm has high accuracy. © 2018 American Society of Civil Engineers.

关键词： Gaussian distribution

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Research on traffic control mode selection of ring-intersection 17

Research on traffic control mode selection of ring-intersect...

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17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Qin, Si Zhang, Shengrui Chen, Xinchao Wu, Jiangling School of Highway Chang'An Univ. South Section of S. 2nd Ring Rd. Xi'an Shaan'xi Province710064 China Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Jiangsu Prov. Collaborative Innovation Center for Technology and Application of Internet of Things Research Center for Internet of Mobility Southeast Univ. Si Pai Lou #2 Nanjing210096 China

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

The two-step left-turn control model of ring-intersection (RI) has been widely applied to many cities in China. It is still unclear which control model is more suitable when the RI must be reformed due to being unsatisfied with the rapid development of traffic demand. This paper presents a method based on the characteristic of traffic flow in RI considering the efficient performance of the vehicles. Next, a more accurate capacity calculation formula of the left-turn lane is proposed using the stop line method. Then, this method is effectively tested in a typical RI, in the Hunan province utilizing VISSIM platform. © ASCE.

关键词： Intersections

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An improved model for short-term traffic forecasting considering weather impacts 17

An improved model for short-term traffic forecasting conside...

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17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Chen, Xinchao Qin, Si Zhang, Jian Tan, Huachun Xu, Yunxia Dai, Guanchen Chen, Xiaoxuan Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Jiangsu China Province Collaborative Innovation Center of Modern Urban Traffic Technologies Jiangsu China Province Collaborative Innovation Center for Technology and Application of Internet of Things China Research Center for Internet of Mobility Southeast Univ. Si Pai Lou #2 Nanjing210096 China School of Highway Chang'an Univ. South Section of S. 2nd Ring Rd. Nanjing China Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Jiangsu China Dept. of Transportation Engineering Beijing Institute of Technology Beijing100081 China Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Jiangsu China Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Jiangsu China TOPS Laboratory Dept. of Civil and Environment Engineering Univ. of Wisconsin-Madison United States

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

Accurate short-term prediction of traffic conditions on freeways has recently become increasingly important because of its vital role in the basic traffic management functions and trip decision making processes. The objective of this research is to utilize traffic and weather data from multiple data sources to develop an integrated model to predict traffic conditions under different rainfall conditions. A set of prediction models are compared and their performances using data from case studies are investigated and reported. The model performance was valuated using prediction errors, which are measured by the relative length of the distance between the predicted state and the observed state. © ASCE.

关键词： Decision making

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Expose data as a service in cloud for cooperative intelligent transportation systems-communicating with web application programming interfaces 17

Expose data as a service in cloud for cooperative intelligen...

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17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Qu, Junrong Zhang, Jian Liu, Pei Lu, Jiajian Cheng, Yang Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Key Laboratory of Urban ITS Southeast Univ. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Collaborative Innovation Center for Technology and Application of Internet of Things China Laboratory Dept. of Civil and Environment Engineering Univ. of Wisconsin-Madison 1241 Engineering Hall 1415 Engineering Dr. MadisonWI53706 United States

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

The accessibility of various traffic data archived by advanced data systems in intelligent transportation system (ITS) has been a critical issue to the efficient utilization of those valuable data. The constant growth in users and data systems brings more challenges in maintaining the performance of traditional data portals. This paper presents an approach in using representational state transfer web APIs for communication between data systems. It offers concise interfaces for data requests, efficient mechanisms for data transfers, and better management of data security and access restriction. The integration of transportation data to the cloud also makes it available to more end users and utilization. The components of a web-based traffic simulation platform demonstrated the consumption and production of web APIs. An ideal schema for transportation data services was suggested for transportation research, as well as an alternative schema due to lack of existing web APIs in the ITS community. © ASCE.

关键词： Data transfer

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Analysis of the Trip Characteristics of Urban Residents Based on Mobile Phone Positioning Data in Nanjing 18

Analysis of the Trip Characteristics of Urban Residents Base...

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18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Wang, Qing Zhang, Jian Yang, Fan Du, Shuying Zhang, Han Jiangsu Key Laboratory of Urban ITS Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing Jiangsu210096 China School of Transportation Southeast Univ. China Collaborative Innovation Center for Technology and Application of Internet of Things China School of Electrical Engineering Southeast Univ. Si Pai Lou #2 Nanjing Jiangsu210096 China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

Trip characteristics reflect the travel demand of residents in an urban area. This paper proposes a complete method to obtain OD and OD data based on mobile positioning data from a systematic point of view. Using the mobile phone data of Nanjing as an example, the method of trip characteristic analysis is tested via mobile data, and the results are displayed by using tools such as QGIS and TRANSCAD software, which shows the method is feasible and makes up for the shortage of traditional information about residents' travel. © 2018 American Society of Civil Engineers.

关键词： Data acquisition

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An Investigation of User Satisfaction with Shared Bicycles in Nanjing 18

An Investigation of User Satisfaction with Shared Bicycles i...

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18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Li, Hanchu Zhang, Jian Li, Jing Shi, Zhuangbin Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Nanjing210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing210096 China Jiangsu Prov. Collaborative Innovation Center for Technology and Application of Internet of Things Nanjing210096 China Research Center for Internet of Mobility Southeast Univ. Si Pai Lou #2 Nanjing210096 China Intelligent Transportation System Research Center Southeast Univ. Jinxianghe Rd. #35 Nanjing Jiangsu210008 China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

The construction and use of shared bicycle systems in China is in the stage of development. In order to improve the system so as to better serve the public, this paper was initiated to investigate the status quo of shared bicycle systems and user satisfaction with shared bicycles. The user satisfaction with shared bicycles in Nanjing was quantitatively analyzed using a factor analysis method based on data obtained from questionnaires in Nanjing. Results indicate that 3 common factors (vehicle factor, service factor, and cost factor) can be extracted from 11 original variables, and that among them, vehicle factor has the greatest impact. Because results suggest the vehicle factor is the key to improvement, some improvement measures are put forward from three aspects: the government, bicycle sharing platform, and the users. © 2018 American Society of Civil Engineers.

关键词： Bicycles

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Impact of pulsation frequency and pressure amplitude on the evolution of coal pore structures during gas fracturing

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Fuel 2020年 268卷

作者： Yingke Liu Xiaojiang Wen Mingjun Jiang Zhihong He Jianhong Kang Feng Gao Fubao Zhou Mingyao Wei Xiangzhong Liu Key Laboratory of Gas and Fire Control for Coal Mines (Ministry of Education) China University of Mining & Technology Xuzhou Jiangsu 221116 China Jiangsu Key Laboratory of Fire Safety in Urban Underground Space (China University of Mining and Technology) Xuzhou Jiangsu 221116 China Faculty of Safety Engineering China University of Mining & Technology Xuzhou Jiangsu 221116 China Xishan Coal Electricity Group Co. Ltd Taiyuan Shanxi 030024 China State Key Laboratory for Geomechanics & Deep Underground Engineering China University of Mining & Technology Xuzhou Jiangsu Province 221116 China National and Local Joint Engineering Laboratory of Internet Application Technology on Mine IoT Perception Mine Research Center China University of Mining and Technology Xuzhou Jiangsu 221116 China

Pulse gas fracturing (PGF) is a method of injecting high-pressure gas into coal cyclically to stimulate the coalbed methane reservoir. However, the evolution of coal pore structure during pulse gas fracturing is still unclear, especially when the injection pressure is lower than the breakdown pressure of coal. In this paper, 11 groups of PGF experiments with the injection pressure amplitude no more than 8 MPa were carried out on coal. Furthermore, the pore size distribution and the crack morphology of coal samples before and after PGF were observed. The experimental results show that pulse gas fracturing with relatively lower injection pressure increases the total pore volume and the permeability exponentially. Moreover, with the increase of pulsation frequency or of injection pressure amplitude, the volume of macropores and its proportion in total pore volume rise significantly, and the increasing rate gradually grows. However, the mesopore volume and its proportion in the total pore volume go up with the increase of pulsation frequency, but remain basically unchanged with the rise of injection pressure amplitude. Besides, the volume of micropores and transition pores slightly fluctuates. In addition, PGF hardly generate wide main fractures in the coal body, and instead mainly causes the tip of pores to propagate and induces substantial micro-cracks. The accumulation of irreversible deformation such as plastic deformation of pores and propagation of micro-cracks is the fundamental cause why the total pore volume and the permeability of coal grow continuously. The research results lay a foundation for understanding the fracturing effect of PGF.

关键词： Pulse gas fracturing Pore size distribution Pulsation frequency Injection pressure amplitude Coal

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Analysis of influence factors of electric vehicle on the following characteristics 17

Analysis of influence factors of electric vehicle on the fol...

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17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017

作者： Xu, Linghui Lu, Jia Zhang, Jian Chen, Xiaoxuan Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Nanjing210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing210096 China Jiangsu Prov. Collaborative Innovation Center for Technology and Application of Internet of Things Nanjing210096 China Research Center for Internet of Mobility Southeast Univ. Nanjing210096 China School of Transportation Southeast Univ. Nanjing210096 China TOPS Laboratory Dept. Of Civil and Environment Engineering Univ. Of Wisconsin-Madison 1415 Engineering Dr. MadisonWI53706 United States

ISBN: (数字)9780784480915

ISBN: (纸本)9780784480915

The pure electric vehicle (PEV) is considered as one of the most eco-friendly automobiles, as it takes batteries for its energy source and hardly produces pollution. In this paper, properties of motors and batteries and their influence on the drive process are discussed at first. On the other hand, the regenerative braking system of electric vehicles is introduced. Its ability to increase the battery level is limited by the rotation characteristic of the generator and the charging performance of batteries. To validate the effects of motors (generators) and batteries on the acceleration and deceleration processes, the actual acceleration and electric power with different vehicle speeds, desired acceleration and deceleration, motor, and batteries are tested. Results show that the more mechanical power a motor and batteries can provide, the bigger acceleration will be achieved by the electric vehicle. Besides, the increase of battery level is significantly influenced by the generator and battery charging properties. © ASCE.

关键词： Regenerative braking

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Autonomous and Connected Vehicles: The Capacity of Mixed Traffic Flow at Signalized Intersection with the ACDA-MTD Model 18

Autonomous and Connected Vehicles: The Capacity of Mixed Tra...

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18th COTA International Conference of Transportation Professionals: Intelligence, Connectivity, and Mobility, CICTP 2018

作者： Li, Hanchu Zhang, Jian Zheng, Fangfang Li, Linchao Ran, Bin Jiangsu Key Laboratory of Urban ITS School of Transportation Southeast Univ. Si Pai Lou #2 Nanjing210096 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou #2 Nanjing210096 China Jiangsu Prov. Collaborative Innovation Center for Technology and Application of Internet of Things Si Pai Lou #2 Nanjing210096 China Research Center for Internet of Mobility Southeast Univ. Si Pai Lou #2 Nanjing210096 China Joint Research Institute on Internet of Mobility Southeast Univ. and Univ. of Wisconsin-Madison Nanjing China Southwest Jiaotong Univ. School of Transportation and Logistics Chengdu China

ISBN: (数字)9780784481523

ISBN: (纸本)9780784481523

This paper addresses mixed traffic flow involving autonomous vehicles and human-driven vehicles at signalized intersections. A deterministic discrete-time simulation model, the mixed traffic dynamics model, based on the assured clear distance ahead criterion (the ACDA-MTD model) is proposed. The ACDA-MTD model assumes each vehicle's compliance with an operational strategy that is consistent with the "Assured Clear Distance Ahead" criterion, by which each vehicle adjusts speed and distance from the vehicle ahead to ensure safe traveling distance, regardless of the future behavior of the leading vehicle. Then we explore the impact of 23 different scenarios on intersection traffic capacity. The scenarios cover various proportions and orders that consist of autonomous and human-driven vehicles under different connected vehicle environments. Finally, the simulation analysis shows that the vehicle-to-vehicle (V2V) and the vehicle-to-infrastructure (V2I) technologies can improve the startup efficiency of autonomous vehicles at the intersection, and then enhance the capacity by 4.68%~28.63%. © 2018 American Society of Civil Engineers.

关键词： Autonomous vehicles

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