This paper studies the conformity of the emission results of a heavy duty diesel truck from different PEMS in an environment room using a chassis dynamometer. Four kinds of PEMS are tested in this paper. The test conditions are: altitude 2400m, 2000m, temperature −7C, and normal temperature & pressure. The test cycle is C-WTVC transient test cycle. Four consecutive cycles are tested. The test results are compared with those from Horiba CVS, to analyse the conformity of the test results of CO2, CO, NOx and PN. It is shown that, for CO2, the conformity of these PEMS are high; for CO, the deviation is large; for PN, in normal condition the conformity is high while in extreme condition it is low. This research is helpful to China VI emission test.
{"title":"The Comparative Study of Various PEMS Instruments Under China's Conditions","authors":"Yu Quanshun, Xiao Kun, Qi Jianyun, Xu Junhui, Guo Yong, Ma Juyu","doi":"10.1109/ICITE.2018.8492559","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492559","url":null,"abstract":"This paper studies the conformity of the emission results of a heavy duty diesel truck from different PEMS in an environment room using a chassis dynamometer. Four kinds of PEMS are tested in this paper. The test conditions are: altitude 2400m, 2000m, temperature −7C, and normal temperature & pressure. The test cycle is C-WTVC transient test cycle. Four consecutive cycles are tested. The test results are compared with those from Horiba CVS, to analyse the conformity of the test results of CO2, CO, NOx and PN. It is shown that, for CO2, the conformity of these PEMS are high; for CO, the deviation is large; for PN, in normal condition the conformity is high while in extreme condition it is low. This research is helpful to China VI emission test.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133419534","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492605
Dongkyu Lee, Jae-Seol Lee, Sinjae Lee, S. Kee
The PLDWS (Parking Line Departure Warning System) is one of the important ADAS (Advanced Driving Assistance System) functions when a driver recognizes the parking situations. We proposed the new real-time PLDWS algorithm and its real-time implementation based on the NVIDIA Jetson TX2, which is an embedded board environment. We showed the processing speed that is applicable to actual production vehicle and the same performance result as PC environment. A wide-angle camera is mounted on the front, rear, left and right sides of the vehicle, AVM (Around View Monitoring) images are obtained by synthesizing one Top-View image using four camera input images that have been calibrated. Considering that the visible range of the AVM system varies depending on the mounting position of the vehicle, the actual distance of the AVM image is measured and designated as ROI (Region of Interest) to the front and rear, right and left 2 meters from the vehicle. The whole ROI was partitioned into 3×3 grid regions, and the algorithm determined whether the parking line is crossed for each partitioned region by trained deep learning classifier, and finally a warning signal generated for the system. We also discussed the issue of porting to NVIDIA Jetson TX2 board to enable implementation of the parking line departure warning system into the vehicle.
PLDWS (Parking Line Departure Warning System)是高级驾驶辅助系统(ADAS)中重要的停车预警系统之一。提出了基于NVIDIA Jetson TX2的实时PLDWS算法及其实时实现。我们展示了适用于实际生产车辆的处理速度和与PC环境相同的性能结果。广角摄像头分别安装在车辆的前、后、左、右四个侧面，AVM (Around View Monitoring，环视监控)图像由四个摄像头输入的经过校准的图像合成一个Top-View图像获得。考虑到AVM系统的可见范围随车辆安装位置的不同而变化，因此测量AVM图像到距离车辆前后、左右2米的实际距离，并将其指定为ROI (Region of Interest)。将整个ROI划分为3×3网格区域，算法通过训练好的深度学习分类器判断每个划分区域是否越过停车线，最后为系统生成一个预警信号。我们还讨论了移植到NVIDIA Jetson TX2主板的问题，以便在车辆中实现停车线偏离警告系统。
{"title":"The Real-time Implementation for the Parking Line Departure Warning System","authors":"Dongkyu Lee, Jae-Seol Lee, Sinjae Lee, S. Kee","doi":"10.1109/ICITE.2018.8492605","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492605","url":null,"abstract":"The PLDWS (Parking Line Departure Warning System) is one of the important ADAS (Advanced Driving Assistance System) functions when a driver recognizes the parking situations. We proposed the new real-time PLDWS algorithm and its real-time implementation based on the NVIDIA Jetson TX2, which is an embedded board environment. We showed the processing speed that is applicable to actual production vehicle and the same performance result as PC environment. A wide-angle camera is mounted on the front, rear, left and right sides of the vehicle, AVM (Around View Monitoring) images are obtained by synthesizing one Top-View image using four camera input images that have been calibrated. Considering that the visible range of the AVM system varies depending on the mounting position of the vehicle, the actual distance of the AVM image is measured and designated as ROI (Region of Interest) to the front and rear, right and left 2 meters from the vehicle. The whole ROI was partitioned into 3×3 grid regions, and the algorithm determined whether the parking line is crossed for each partitioned region by trained deep learning classifier, and finally a warning signal generated for the system. We also discussed the issue of porting to NVIDIA Jetson TX2 board to enable implementation of the parking line departure warning system into the vehicle.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123787831","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492701
Pei YiLou, Chen Dejun
The dynamic uncertainty caused by tidal current in river estuary is affected, A method for dynamic identification of main route of river estuary segment based on AIS (Automatic Identification System) is proposed by using the AIS navigation trajectory of the most recent typical ship and the time point of large Ocean currents. Firstly, clustering algorithm is used to analyze the navigation trajectory of typical ships in the estuary recently, and the track of the estuary channel is identified, then, cubic spline interpolation algorithm is used to fit the center trajectory points obtained by DBSCAN (Density-Based Spatial Clustering of Applications with Noise), and get the main route, combined with the current characteristics of large ocean current, the main route is modified appropriately, therefore, the effect of frequent changes on the channel of river estuary is solved, and the validity of this method is verified through the analysis of the measured data.
针对河口潮流对河口段主航道动态不确定性的影响，提出了一种基于AIS(自动识别系统)的河口段主航道动态识别方法，该方法利用最近典型船舶的AIS导航轨迹和大洋流时间点进行动态识别。首先利用聚类算法对河口近期典型船舶的航行轨迹进行分析，识别河口航道的航迹，然后利用三次样条插值算法对DBSCAN (Density-Based Spatial clustering of Applications with Noise)得到的航迹中心点进行拟合，得到主航路，并结合大海流的航路特征，对主航路进行适当的修正，从而得到主航路。解决了频繁变化对河口航道的影响，并通过实测数据分析验证了该方法的有效性。
{"title":"A Research on Dynamic Identification of Main Route of River Estuary Segment Based on AIS","authors":"Pei YiLou, Chen Dejun","doi":"10.1109/ICITE.2018.8492701","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492701","url":null,"abstract":"The dynamic uncertainty caused by tidal current in river estuary is affected, A method for dynamic identification of main route of river estuary segment based on AIS (Automatic Identification System) is proposed by using the AIS navigation trajectory of the most recent typical ship and the time point of large Ocean currents. Firstly, clustering algorithm is used to analyze the navigation trajectory of typical ships in the estuary recently, and the track of the estuary channel is identified, then, cubic spline interpolation algorithm is used to fit the center trajectory points obtained by DBSCAN (Density-Based Spatial Clustering of Applications with Noise), and get the main route, combined with the current characteristics of large ocean current, the main route is modified appropriately, therefore, the effect of frequent changes on the channel of river estuary is solved, and the validity of this method is verified through the analysis of the measured data.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125078642","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}
In this article, the last mile delivery is concisely described. It has become an interested topic among logistics researchers and community because of the increasing of e-commerce and online shopping. The last mile delivery is divided into 5 modes: reception box, collection point, post office, attended home delivery, and unattended home delivery. Each mode is depicted and compared to each other in term of characteristics and efficiencies. The comparison is based on the perspective of stakeholders. Accordingly, they are interested in benefits of the last mile delivery differently. Then, we propose the trends of technologies, such as, internet of things, smart phone and its applications, social network, and drone which impact to the last mile delivery. These technologies could substantially improve the efficiency of last mile delivery. In addition, as the sustainability has become the key factor of today businesses, we also discuss the sustainability of all 5 modes.
{"title":"Last Mile Delivery: Modes, Efficiencies, Sustainability, and Trends","authors":"Noppakun Tiwapat, Choosak Pomsing, Peerapop Jomthong","doi":"10.1109/ICITE.2018.8492585","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492585","url":null,"abstract":"In this article, the last mile delivery is concisely described. It has become an interested topic among logistics researchers and community because of the increasing of e-commerce and online shopping. The last mile delivery is divided into 5 modes: reception box, collection point, post office, attended home delivery, and unattended home delivery. Each mode is depicted and compared to each other in term of characteristics and efficiencies. The comparison is based on the perspective of stakeholders. Accordingly, they are interested in benefits of the last mile delivery differently. Then, we propose the trends of technologies, such as, internet of things, smart phone and its applications, social network, and drone which impact to the last mile delivery. These technologies could substantially improve the efficiency of last mile delivery. In addition, as the sustainability has become the key factor of today businesses, we also discuss the sustainability of all 5 modes.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125085220","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492538
Kyeong-lok Kim, Taeho Kim
Safety incidents occurring in coastal areas in the course of leisure activities have been a social issue. In order to address such safety issues, there needs to be a way to rapidly respond to safety incidents. The current study aims to develop a vessel that floats on coastal waters with rolling-reduction shape, which can be used to rapidly respond to safety incidents and save human lives. The floating vessel was designed with a completely new shape, considering the efficiency, size, speed, and other design factors. This ship must have rolling reduction structure, as rescue personnel will be persistently present in it. As such, the bottom part of the ship body was designed using CFD analysis method. In addition, the rolling analysis for the ship body was conducted to comparatively analyze the rolling reduction effect of the design models and deduce the final shape of the vessel.
{"title":"Development of Rolling-Reduction Structure Vessel for Maritime Safety","authors":"Kyeong-lok Kim, Taeho Kim","doi":"10.1109/ICITE.2018.8492538","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492538","url":null,"abstract":"Safety incidents occurring in coastal areas in the course of leisure activities have been a social issue. In order to address such safety issues, there needs to be a way to rapidly respond to safety incidents. The current study aims to develop a vessel that floats on coastal waters with rolling-reduction shape, which can be used to rapidly respond to safety incidents and save human lives. The floating vessel was designed with a completely new shape, considering the efficiency, size, speed, and other design factors. This ship must have rolling reduction structure, as rescue personnel will be persistently present in it. As such, the bottom part of the ship body was designed using CFD analysis method. In addition, the rolling analysis for the ship body was conducted to comparatively analyze the rolling reduction effect of the design models and deduce the final shape of the vessel.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480091","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492600
Óscar Sipele, V. Zamora, Agapito Ledezma, A. Sanchis
The incorporation of Advance Driver Assistance Systems (ADAS) is a growing trend in active safety systems. The current outlook of passive ADAS that, exclusively warning the driver, presents a reactive interaction model in which each system acts independently. The increasing of the amount of in-vehicle passive ADASs arises an interoperability issue against conflict situations that could affect driver's decision-making process negatively, diminishing their attention level. This paper proposes an architecture based on the multi-agent paradigm for designing driver-centered ADASs that operates through the data fusion. The principal goal is to design a hierarchical structure which can manage the knowledge acquisition process of all aspects involved in the driving scene such as the environment as well as the driver's behavior and state, providing support for building and testing reasoning models. An experimental method was performed to verify the feasibility of the proposed approach using the deployment of a warning ADAS which involves the interaction of several developed systems. Besides, the staging of one set of specific hazardous driving situations was designed to conduct an experimental assay with ten drivers in a driving simulation system. Regarding evaluation measurements, the analysis of the reaction time performed by the drivers and user questionnaires collected after each experimental session has shown promising results.
{"title":"Advanced Driver's Alarms System through Multi-agent Paradigm","authors":"Óscar Sipele, V. Zamora, Agapito Ledezma, A. Sanchis","doi":"10.1109/ICITE.2018.8492600","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492600","url":null,"abstract":"The incorporation of Advance Driver Assistance Systems (ADAS) is a growing trend in active safety systems. The current outlook of passive ADAS that, exclusively warning the driver, presents a reactive interaction model in which each system acts independently. The increasing of the amount of in-vehicle passive ADASs arises an interoperability issue against conflict situations that could affect driver's decision-making process negatively, diminishing their attention level. This paper proposes an architecture based on the multi-agent paradigm for designing driver-centered ADASs that operates through the data fusion. The principal goal is to design a hierarchical structure which can manage the knowledge acquisition process of all aspects involved in the driving scene such as the environment as well as the driver's behavior and state, providing support for building and testing reasoning models. An experimental method was performed to verify the feasibility of the proposed approach using the deployment of a warning ADAS which involves the interaction of several developed systems. Besides, the staging of one set of specific hazardous driving situations was designed to conduct an experimental assay with ten drivers in a driving simulation system. Regarding evaluation measurements, the analysis of the reaction time performed by the drivers and user questionnaires collected after each experimental session has shown promising results.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798975","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492706
A. Srinivasan
In the recent years, smart sensing approach is creating a vibrant impact in shaping our future. The growth of technology can be incorporated with the rising events triggering a need for a better lifestyle. Recent technological advancement which has influenced a change in lifestyle, is the field of IoT (Internet of Things). The applications of IoT are vast and innumerable. One such application can be implied for the Automobile industry to improve the quality and safety of the vehicles. With the increase in number of accidents and the deteriorating performance of the cars, there is a need for a pragmatic real time monitoring system and a self-learning algorithm for smart predictions. We use the Raspberry Pi as our GPU running Machine Learning algorithm [K-Nearest neighbor (KNN) and Naïve Bayesian algorithm] predicting the vehicle condition and life prediction of Engine, Coolant, etc. We are planning to implement such a system which will be user friendly and user interactive. We propose two methods for data handling, 1] Develop Bluetooth low energy technology as the communication module for data transmission to the cloud database. 2] Alternatively, 4G Dongle can be used for transmitting data directly to the cloud and the mobile application from the Raspberry pi. The cutting edge feature of BLE is its low power consumption and can also be integrated to many sensors at any point in time (scalable technology). Our prototype is using the BLE Communication for OBD-II (On board Diagnostics) - Raspberry pi communication and Wi-Fi for cloud interfacing. We have integrated OBD-II in a FORD Manufactured car to extract the following data: Speed, air pressure, temperature, CO2 emission, GPS Coordinates, Fuel Level indicator sensor. The Raspberry Pi will run the Machine Learning (ML) algorithm and output the results and live prediction of vehicle condition to the mobile application.
{"title":"IoT Cloud Based Real Time Automobile Monitoring System","authors":"A. Srinivasan","doi":"10.1109/ICITE.2018.8492706","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492706","url":null,"abstract":"In the recent years, smart sensing approach is creating a vibrant impact in shaping our future. The growth of technology can be incorporated with the rising events triggering a need for a better lifestyle. Recent technological advancement which has influenced a change in lifestyle, is the field of IoT (Internet of Things). The applications of IoT are vast and innumerable. One such application can be implied for the Automobile industry to improve the quality and safety of the vehicles. With the increase in number of accidents and the deteriorating performance of the cars, there is a need for a pragmatic real time monitoring system and a self-learning algorithm for smart predictions. We use the Raspberry Pi as our GPU running Machine Learning algorithm [K-Nearest neighbor (KNN) and Naïve Bayesian algorithm] predicting the vehicle condition and life prediction of Engine, Coolant, etc. We are planning to implement such a system which will be user friendly and user interactive. We propose two methods for data handling, 1] Develop Bluetooth low energy technology as the communication module for data transmission to the cloud database. 2] Alternatively, 4G Dongle can be used for transmitting data directly to the cloud and the mobile application from the Raspberry pi. The cutting edge feature of BLE is its low power consumption and can also be integrated to many sensors at any point in time (scalable technology). Our prototype is using the BLE Communication for OBD-II (On board Diagnostics) - Raspberry pi communication and Wi-Fi for cloud interfacing. We have integrated OBD-II in a FORD Manufactured car to extract the following data: Speed, air pressure, temperature, CO2 emission, GPS Coordinates, Fuel Level indicator sensor. The Raspberry Pi will run the Machine Learning (ML) algorithm and output the results and live prediction of vehicle condition to the mobile application.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122147","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492598
Jun Wang, Shanglin Song, Mei Guo, Jingyi Shao
Based on the snowmelt mechanism and corrosion mechanism, considering the economic, performance and environmental indicators, taking the traditional chloride as the breakthrough point, we studied the synergistic effect of different chlorides and the role of auxiliaries, and made an efficient, environmentally friendly and economical new snow melting agent. The test results show that the melting ability, freezing point, corrosion rate and corrosion degree of the snow melting agent are better than those of the commonly used snowmelt agents, and all indicators are in line with or better than the national standard requirements. Therefore, it is suitable for a large number of popularization and application.
{"title":"Study on the Preparation and Performance Evaluation of a New High Efficiency and Environmental Protection Economic Snow Melting Agent","authors":"Jun Wang, Shanglin Song, Mei Guo, Jingyi Shao","doi":"10.1109/ICITE.2018.8492598","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492598","url":null,"abstract":"Based on the snowmelt mechanism and corrosion mechanism, considering the economic, performance and environmental indicators, taking the traditional chloride as the breakthrough point, we studied the synergistic effect of different chlorides and the role of auxiliaries, and made an efficient, environmentally friendly and economical new snow melting agent. The test results show that the melting ability, freezing point, corrosion rate and corrosion degree of the snow melting agent are better than those of the commonly used snowmelt agents, and all indicators are in line with or better than the national standard requirements. Therefore, it is suitable for a large number of popularization and application.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835782","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492669
Yanling Liu, Zhenhua Liu
With the rapid development of the market economy, the volume of road freight is growing rapidly. At the same time, the overloading of trucks has become more and more serious. It is necessary to accurately monitor loading capacity in real time. Although the truck weighing technology has achieved a breakthrough in theoretical field, it made high financing costs and low accuracy. This paper presents an optimized method for dynamic measurement of truck loading capacity, which is mainly applied to accurately calibrate the load sensor, analyze the real-time dynamic data collected from trucks, and significantly improve the measurement accuracy of the truck load.
{"title":"An Optimized Method for Dynamic Measurement of Truck Loading Capacity","authors":"Yanling Liu, Zhenhua Liu","doi":"10.1109/ICITE.2018.8492669","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492669","url":null,"abstract":"With the rapid development of the market economy, the volume of road freight is growing rapidly. At the same time, the overloading of trucks has become more and more serious. It is necessary to accurately monitor loading capacity in real time. Although the truck weighing technology has achieved a breakthrough in theoretical field, it made high financing costs and low accuracy. This paper presents an optimized method for dynamic measurement of truck loading capacity, which is mainly applied to accurately calibrate the load sensor, analyze the real-time dynamic data collected from trucks, and significantly improve the measurement accuracy of the truck load.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"421 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211743","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}
Pub Date : 2018-09-01DOI: 10.1109/ICITE.2018.8492557
Meng Ran, Mao Baohua, Xu Qi, Zhang Tong, Wang Min
Studying the generalized costs of the Sunset-departure and Sunrise-arrival Trains (SST) on High-speed Rails (HSR) is crucial to enhance the attraction of SST on HSR. The paper selects the SST on HSR as the survey object and establishes a generalized cost model. A questionnaire survey of passenger's age and income is conducted. The correlation between age and fatigue recovery time is analyzed and the generalized cost model parameters are calibrated based on the survey results. Finally, using the Beijing-Shanghai passenger transport corridor as an example, the paper analyzes the competitiveness of SST on HSR, train of daytime on HSR and airplane. According to the calculation results, the paper analyzes the relationship between passengers' age, income, travel distance and the influence range of passenger flow of SST on HSR. Based on the analysis result, the paper proposes to set up old tickets, implement time-slot, minute-divided discount tickets and increase the number of stops on the way.
{"title":"Analysis of Demand for Sunset-departure and Sunrise-arrival Trains on High-speed Rails Based on Generalized Cost","authors":"Meng Ran, Mao Baohua, Xu Qi, Zhang Tong, Wang Min","doi":"10.1109/ICITE.2018.8492557","DOIUrl":"https://doi.org/10.1109/ICITE.2018.8492557","url":null,"abstract":"Studying the generalized costs of the Sunset-departure and Sunrise-arrival Trains (SST) on High-speed Rails (HSR) is crucial to enhance the attraction of SST on HSR. The paper selects the SST on HSR as the survey object and establishes a generalized cost model. A questionnaire survey of passenger's age and income is conducted. The correlation between age and fatigue recovery time is analyzed and the generalized cost model parameters are calibrated based on the survey results. Finally, using the Beijing-Shanghai passenger transport corridor as an example, the paper analyzes the competitiveness of SST on HSR, train of daytime on HSR and airplane. According to the calculation results, the paper analyzes the relationship between passengers' age, income, travel distance and the influence range of passenger flow of SST on HSR. Based on the analysis result, the paper proposes to set up old tickets, implement time-slot, minute-divided discount tickets and increase the number of stops on the way.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117332191","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}
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