Dynamic Competition and Cooperation of Road Infrastructure Investment of Multiple Tourism Destinations: A Case Study of Xidi and Hongcun World Cultural Heritage by Jun Li, Wenna Zhang, Honggang Xu, Jie Jiang

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Freeway intelligent transportation oriented wireless access technologies evaluation by Shang-jing LIN, Jin TIAN, Jin-hong LI

“…The popularization of broadband mobile communication technology has paved a way for the development of intelligent transportation industry.At the meantime,the intelligent transportation system (ITS) has also put forward higher requirements for the broadband mobile communication technologies.Based on the summary of the challenges faced by the broadband mobile communication technologies when applied to ITS,two typical expressway communication scenarios are selected in which the performance of wireless access technologies are evaluated and compared.It can provide theoretical reference for the development of ITS.…”
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Comparison of traffic flow prediction based on AR model and BP model by Tingting ZHANG, Wuxiong ZHANG, Dong PEI, Cheng ZHAO, Han YU

“…An accurate traffic flow model is crucial to traffic management of an intelligent transportation system （ITS）and information safety in a VANET. …”
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Key technology of VANET in terminal-management-cloud model by Junhui ZHAO, Yan CHEN, Dechang HUANG, Dacheng HUANG

“…With the increasing of traffic problems，such as traffic congestion，intelligent transportation system（ITS）becomes an effective way to solve the increasing transportation issues of the current traffic.Vehicular Ad Hoc networks（VANET）and vehicles as important parts of ITS have become focus of current research.Firstly，the development history and current situation of VANET both at home and abroad were introduced，and then VANET from the terminal system，management system，cloud system were analyzed respectively.Then，the V2V and V2R communication technologies of terminal system were introduced emphatically.In addition，VANET oriented traffic cloud and big data technology were outlined.Finally，application scenarios and the future development of communication technologies in VANET were discussed.…”
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Integrated sensing and communications for Internet of vehicles：current status and development trend by Xiang CHENG, Haotian ZHANG, Zonghui YANG, Ziwei HUANG, Sijiang LI, Anlan YU

“…The Internet of vehicles, the most important component of intelligent transportation system (ITS) in the future, is one of the most important technologies to achieve smart traffic and convenient travel for the people.With the vigorous development and continuous utilization of sensing and communication functions, the combination of these two functions, that is, integrated sensing and communications (ISAC) technology of vehicular communication networks, has become the current research hotspot and is of great significance to the development of ITS.Firstly, two different models of ISAC system, i.e., functional ISAC and signaling ISAC were defined and differentiated.Then, for the two different ISAC models, the existing works were reviewed and analyzed comprehensively.Finally, the future development directions and technical challenges of ISAC design in vehicular communication networks were proposed.…”
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Vehicle detection based on SqueezeNet convolutional neural network by Zefa WEI, Hua CUI

“…In the intelligent transportation system,aiming at the problem of low portability and speed of detection in vehicle target detection algorithm,a vehicle detection method based on SqueezeNet convolutional neural network was proposed.In order to realize the rapid detection of vehicle targets,improve the portability and shorten the detection time of the single frame,the model was trained on the UA-DETRAC dataset by fusing the SqueezeNet with the single shot multibox detector (SSD) algorithm.The experimental results showed that the time of the single frame detection could reach 22.3 ms and the model size was 16.8 MB.Compared with the original SSD algorithm,the model size was reduced by about 8/9.At the same time,the accuracy of the proposed model was guaranteed.…”
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ST-LSTM: A Deep Learning Approach Combined Spatio-Temporal Features for Short-Term Forecast in Rail Transit by Qicheng Tang, Mengning Yang, Ying Yang

“…The short-term forecast of rail transit is one of the most essential issues in urban intelligent transportation system (ITS). Accurate forecast result can provide support for the forewarning of flow outburst and enables passengers to make an appropriate travel plan. …”
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Non-GPS Data Dissemination for VANET by Kulit Na Nakorn, Kultida Rojviboonchai

“…Fast, reliable, and efficient data dissemination in VANET is a key of success for intelligent transportation system. This requires a broadcasting protocol which has efficient forwarder nodes and an efficient broadcasting mechanism. …”
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Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

“…Vehicle detection and classification are very important for analysis of vehicle behavior in intelligent transportation system, urban computing, etc. In this paper, an approach based on convolutional neural networks (CNNs) has been applied for vehicle classification. …”
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Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis by Lingchao HE, Dong LIN, Xinxin FENG

“…Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-term traffic flow prediction method based on the adaptive rank dynamic tensor analysis was proposed.Firstly,a four dimensional tensor consisted of week,day,time and space was constructed,which could excavate the multimodal correlation of traffic flow data.Secondly,tensor flow data with dynamic structure was formed by using sliding window model.The principal component analysis (PCA) algorithm was extended to an offline tensor analysis algorithm that could accept tensor input.Then the adaptive rank and the forgetting factor were introduced to generate an adaptive rank dynamic tensor analysis algorithm.Finally,the tensor stream data was inputted into the adaptive rank dynamic tensor analysis algorithm to realize the short-term traffic flow prediction.The experimental results show that a good prediction can be achieved even with data missing.…”
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Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach by Chengying Hua, Wei (David) Fan

“…The intelligent transportation system (ITS) has been proven capable of effectively addressing traffic congestion issues. …”
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Considering the Characteristics of Traffic Risk Factors and the Method of Establishing a Flexible Traffic System by Lingling Chen, Yuanyuan Zhang

“…It can relieve traffic congestion and provide a smooth and orderly traffic environment using intelligent transportation systems to control and direct traffic flow. …”
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Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication by Zafar Iqbal, Majid Iqbal Khan

“…Recent research trends in intelligent transportation system are focused toward developing automatic incident detection systems to deal with on-road incidents including accidents, traffic congestion, and jamming which cause damage to precious human lives and financial losses. …”
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An Efficient Prediction-Based Data Forwarding Strategy in Vehicular Ad Hoc Network by Wanting Zhu, Deyun Gao, Chuan Heng Foh

“…As an important infrastructure of intelligent transportation system (ITS), vehicular ad hoc networks (VANETs) provide navigation and positioning, information services, driver assistance, in-vehicle entertainment, and other functions for the owners improving the development of the future smart city. …”
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TaxiInt: Predicting the Taxi Flow at Urban Traffic Hotspots Using Graph Convolutional Networks and the Trajectory Data by Jinmao Zhang, Huanchang Chen, Yiming Fang

“…Taxi flow is an important part of the urban intelligent transportation system. The accurate prediction of taxi flow provides an attractive way to find the potential traffic hotspots in the city, which helps to avoid serious traffic congestions by taking effective measures in advance. …”
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Simulation-Based Sensor Location Model for Arterial Street by Qinxiao Yu, Ning Zhu, Geng Li, Shoufeng Ma

“…Traffic sensors serve as an important way to a number of intelligent transportation system applications which rely heavily on real-time data. …”
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A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network by Yang Yu, Qiang Shang, Tian Xie

“…Traffic flow prediction plays an important role in intelligent transportation system (ITS). However, due to the randomness and complex periodicity of traffic flow data, traditional prediction models often fail to achieve good results. …”
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ResNet15: Weather Recognition on Traffic Road with Deep Convolutional Neural Network by Jingming Xia, Dawei Xuan, Ling Tan, Luping Xing

“…Automatic recognition of weather condition has important application value in traffic condition warning, automobile auxiliary driving, intelligent transportation system, and other aspects. With the rapid development of deep learning, deep convolutional neural networks (CNN) are used to recognize weather conditions on traffic road. …”
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A Stable Routing Protocol for Vehicles in Urban Environments by Hyun Yu, Sanghyun Ahn, Joon Yoo

“…The vehicular ad hoc network (VANET) is an essential technology that enables the deployment of the intelligent transportation system (ITS), which improves the traffic safety and efficiency. …”
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WORKING PRINCIPLE AND PERFORMANCE EVOLUTION OF CAMERA-BASED INTELLIGENT SIGNALIZED INTERSECTIONS: SAMSUN CITY, TÜRKIYE EXAMPLE by Metin Mutlu AYDIN, Dimitris POTOGLOU, Liana CIPCIGAN

“…Within the scope of this study, a performance comparison was made for before and after the camera-based intelligent intersection applications at three isolated pilot signalized intersections within the scope of the "Smart City Traffic Safety" project, which is one of the largest Intelligent Transportation System projects in Turkey. After the system was activated, it was observed that the drivers had impatient behaviors in the beginning and had difficulty getting used to these new systems. …”
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