The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The codes for analysis and design of subway station circulation facilities neglect the important factors such as passenger flow randomness, state-dependent service time of circulation facilities, and passengers blocking when demand exceeds capacity. This paper proposes a new Discrete-Event Simulation (DES) method using Phase-Type distribution to analyze the performance of circulation facilities of...
Tunnel moving target detection is subject to the influence of light condition and motion blur, the traditional motion detection method based on pixel points can not be very good at segmenting moving target. To solve this problem, frame difference detection method based on local structure of image and gray level information is proposed. The local mean difference information of the image is calculated...
Car industry is moving fast and design optimization is becoming more and more important for manufacturers to be able to bring out their best products. After a part of the car is designed using 3D Modeling software, it will be delivered to finite element analysis (FEA) software to do simulation in order to understand if the model is ready for mass production or not. This is a persistence job because...
In order to select the appropriate type of inland waterway service area, a decision making methodology is proposed based on fuzzy Bayesian. From the literature review, the influencing factors of inland waterway service area is obtained and the decision attribute is also defined, then, the three-layer decision-making framework is established. The membership function is introduced to fuzzify the influencing...
This paper proposes an efficient hybrid positioning method for land vehicles in urban area. As widely known, any single satellite positioning system suffers from the lack of satellite visibility in urban area. To improve positioning availability in urban area, the proposed method integrates a GPS/BeiDou receiver, an OBD-II (On-Board Diagnostics-II) device, and a MEMS IMU (Micro Electro Mechanical...
To provide a basis to quantitate the navigational risk and evaluate the traffic safety for maritime safety administration to control the traffic as soon as possible to assure the traffic safety, this paper referred to the study on conflict delay time of road traffic and the application of traffic conflict technique used in waterway traffic, we try to analyze the influencing factors of navigational...
The seaplane has the dual characters of both the ship and the aircraft, including the heavy load, fast speed of flight and able to fly in the surface of water. Recently, the seaplane has been developed rapidly. But due to the safety management of seaplane involves two department of maritime and aviation, safety management still lacks clear definition, and the research on this topic is at the beginning,...
The zero-inflated negative binomial regression model is used to study the influencing factors of casualties in water traffic accidents. The Pearson correlation analysis is used to obtain the influencing factors of casualties in water traffic accidents. The ZINB regression model is established to evaluate the influencing factors. According to the analysis results, influencing factors are sorted in...
The estimation of bus travel time and providing accurate information about bus arrival time to passengers are important to make public transport system more user-friendly and thus enhance its competitiveness among various transportation modes. However, for the system to be effective, the information provided to passengers should be highly reliable. The model and technique used for prediction plays...
This research proposes a method to create an objective comfort index for public transportation and suggests the use of low cost technology to acquire the required data. A case study of Montreal showcase the approach for two key indicators: vehicle's vibrations, and noise levels. Cross comparisons to London (U.K.) and Santo Domingo (Dominican Republic) were used to characterize the degree of comfort...
The lack of the historical data of new rail line makes the passenger flow distribution prediction be a challenge. Traditional methods always use simple factors, which can not reflect the complexity of OD distribution. This paper proposes a novel passenger flow distribution prediction method based on multi-factor model. This method obtains quantitative impact factors of OD distribution by analyzing...
In this paper, we propose the dense disparity map-based pedestrian detection method for intelligent vehicle. The dense disparity map is utilized to improve the pedestrian detection performance. Our method consists of several steps namely, obstacle area detection using road feature information and column detection, pedestrian area detection using dense disparity map-based segmentation, and pedestrian...
In this paper, we explore a compression algorithm for long-term continuous data based on fractal interpolation, and apply it to driving behavior data as types of respiration rate, skin conductance and blood volume plus. On basis of affine transform and compression mapping, iteration function system parameters of continuous data regarded as fractal and their data coordinates are acquired and available...
In order to solve the decrease of traffic efficiency of road network, which is caused by overlarge traffic demand of urban regions at peak time, and resource waste of roads due to the heterogeneity of traffic distribution in regions, this paper proposes an active control model for oversaturated area based on border demand control and internal balance control of regional network, builds the bi-level...
Electric vehicle transportation system have gained increasing attention in recent years. Low weight, less volume and high efficiency are the main requirement of electric vehicles. Efficiency analysis of drive of electric vehicles is of major concern to increase its driving range per charge. This paper proposes Interior Permanent Magnet Synchronous Motor (IPMSM) Drive controlled by Field Oriented Control[1]...
The Advanced Driver Assistance Systems (ADAS) continue to grow rapidly in recent years. The ADAS can be divided into two categories: (1) vehicle lateral control assist whose actuation comes from power steering system, and (2) vehicle longitudinal control assist whose actuation comes from powertrain propulsion system and braking system. This paper proposes a two degree-of-freedom (2-DOF) controller...
Driver behavior modeling plays a significant role in the development of Advanced Driver Assistance Systems (ADAS) for assisting drivers in different driving scenarios. One of the scenarios where high numbers of traffic accidents occur is road intersection. It is vital to develop driver behavior models near intersections in order for the ADAS to plan a proper action in avoiding accidents. In this paper,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.