Applied Mechanics and Materials Vols. 475-476

Abstract: To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

Abstract: In order to fill the blank of the conventional bus routes and to provide a door-to-door transportation service, community bus is a new mode to connect the last mile of public transportation. This paper built a cellular automata model of opening boundary conditions based on the community bus route to explore that the running rules of community bus. Through numerical simulations using departure time interval and passenger arrival rate as index, phase diagrams are obtained and characteristics are found.

Abstract: For short-term trafficflow prediction,this paper applies a combination prediction base on RBF-SVM model.At first,it is to use RBF and SVM to get separately two prediction values,then each error can be calculated by each prediction value .Using the two errors to adjust the two weights.At last adding the prediction values multiplied by weights can get a more approximate value to the real value. Simulated values demonstrate that it is an accurate and efficient method.

Abstract: This research studies the problem of scheduling vehicles with simultaneous pickups and deliveries. We propose a three step algorithm combining several classic heuristic and meta-heuristic algorithms, and the results show that this is better than the tradition way. On the other hand, the algorithm can provide not only the best solution, but also the best N ones, which makes the method robust to unexpected minor fluctuations.

Abstract: This study focuses on the major factors influencing the passenger flow assignment in the service network of Urban Rail Transit (URT). A passenger path search method was modeled. It also took full consideration of travelers’ route choice behavior in the service network of URT. Then the figure of service network was built, and assignment indicators of arc segments were set up and quantized. Finally, the traditional K-shortest paths algorithm had been improved based on the case study of calculating and analyzing line A. The results confirm passengers’ traveling behavior can be reflected better by service network.

Abstract: This paper introduces an anti-theft detection system for public bicycles, which can work in ways of both passive RFID and active RFID. The overall systematic framework is analyzed, and the circuits for microcontroller for RFID and RF front-end in the system are focused on. The anti-theft software process in the project implementation is also presented. We have done the design of RFID, including the software and hardware. After debugging, the RFID operates well. The RFID had done well in reducing traffic pressure in Hangzhou, Jiangyin and the other cities.

Abstract: Improving the operation of urban public transport scheduling level is an important way to increase the attractiveness of public transport. In this paper, from the interests of bus passengers and bus companies, A model that maximize the benefit of company based on a certain benefit of passengers is attempted to be developed. Passenger waiting time, bus capacity and other related factors as the main variables were considered in this study. An algorithm based on genetic algorithm was developed to solve the problem efficiently. By utilizing the transit module of the transportation planning software TransCAD, a route system was established based on the bus line 183 in Nanjing. Thus, the bus schedule is created and the optimization results could be dynamically displayed.

Abstract: Through the research of the network flow measurement theory, we designed and implemented F-Monitor which is a network traffic monitoring system based on Linux platform. We use it protect the safety of the campus network. In this paper, we discuss the overall system architecture model, and elaborate the design and implementation of the system composed of packet capture module, data packet analysis module, the database module. In packet capture aspects, by the use of Linux platform in the system independent data packet capture library, based on the multi-mode traffic collection mechanism, we realize the data flow acquisition. In the data packet analysis, we based on the data flow analysis method to realize the data packet analysis. The module supports a variety of flow analysis, including TCP / IP, P2P, NetFlow and sFlow. In this paper, we describe the system database structure.

Abstract: The demand for intelligent surveillance is grown with the popularization of the camera monitoring network. An embedded system used as intelligent node of distributed surveillance is designed in this paper to improve the intelligent level of camera monitoring. Target detection and tracking can be implemented in this node and an anomaly intrusion detection system is designed based on the tracking results. Information sharing is realized via transmitting highly abstract object descriptors via the wireless network. A simple camera monitoring network is built in the labs to test the designed intelligent node and the experimental results indicate its effectiveness and accuracy.

Abstract: This paper tries to figure out the designing requirement of the ontology model based on visual stock information system; it demonstrates the prototype architecture of Ontology domain and ontology languages such as RDF/RDFs and OWL. These ontology languages were then used to identify the stock domain, define the semantic classes, relations, instances of relations and structure the stock vocabulary data into a meaningful domain of information. The proposed ontology model architecture will be able to observe the vocabularies of stock data by categorizing the Domain of classes and build Ontology solutions based on stocks transaction and historical data for the selected companies