基于最早预达时刻的进近排序模型及算法

为解决空中交通流量的高速增长造成了进近冲突，合理安排飞机着陆顺序，充分利用跑道容量，对现有排序模型进行简化．讨论了相邻飞机之间安全间隔的标准．通过分析相邻飞机速度对安全间隔的影响、飞机预计到达时刻、飞机优先权，提出了基于最早预达时刻的排序模型及算法．算例表明，该算法计算量较小，排序结果优于传统排序算法．     

Development of a Secondary Crash Identification Algorithm and occurrence pattern determination in large scale multi-facility transportation network

Secondary crash (SC) occurrences are non-recurrent in nature and lead to significant increase in traffic delay and reduced safety. National, state, and local agencies are investing substantial amount of resources to identify and mitigate secondary crashes in order to reduce congestion, related fatalities, injuries, and property damages. Though a relatively small portion of all crashes are secondary, their identification along with the primary contributing factors is imperative. The objective of this study is to develop a procedure to identify SCs using a static and a dynamic approach in a large-scale multimodal transportation networks. The static approach is based on pre-specified spatiotemporal thresholds while the dynamic approach is based on shockwave principles. A Secondary Crash Identification Algorithm (SCIA) was developed to identify SCs on networks. SCIA was applied on freeways using both the static and the dynamic approach while only static approach was used for arterials due to lack of disaggregated traffic flow data and signal-timing information. SCIA was validated by comparison to observed data with acceptable results from the regression analysis. SCIA was applied in the State of Tennessee and results showed that the dynamic approach can identify SCs with better accuracy and consistency. The methodological framework and processes proposed in this paper can be used by agencies for SC identification on networks with minimal data requirements and acceptable computational time.     

Assessing greenhouse gas emissions from port vessel operations at the Port of Incheon

This paper measures greenhouse gas emissions from port vessel operations by considering the case of Korea’s Port of Incheon. It provides estimates of greenhouse gas emissions based on the type and the movement of a vessel from the moment of its arrival, to its docking, cargo handling, and departure. Taking a bottom-up approach based on individual vessels’ characteristics and using data on vessels processed by the port in 2012 estimate emissions. The results indicate that the level of emissions is five times higher than that estimated through the top-down approach. Among various types of vessels, international car ferries are the heaviest emitters, followed by full container vessels and car carriers. A vessel’s passage through lock gates and maneuver to approach the dock accounts for 96% of its emissions. Docking for cargo handling shows the lowest level of GHG emissions.     

The Application of Communicative Approach in College English Teaching

Ⅰ.Introduction Thanks to the reform and opening- up policies, more and more op- portunities have been created for Chinese to communicate with people from all over the world, especially from the English- speaking countries, and as a result, the demand for oral proficiency of English has been greatly increased. However, our English teaching does not seem to follow this trend well, especially in high schools. Pressured by the College Entrance Ex- amination, high school English teachers still …     

基于高频注入的永磁同步电机参数辨识策略

永磁同步电机高性能控制依赖电机参数和磁极初始位置的准确性,辨识磁极初始位置可以保证无位置传感器矢量控制启动过程的平稳性。传统的参数辨识方法辨识过程较为复杂或者精度不高,本文提出了一种易于实现的高频注入控制算法,通过注入高频电压,提取高频电流,就可以直接快速辨识出永磁同步电机电感,再通过注入两个脉冲电压矢量,就可以辨识磁极初始位置。这种方式辨识精度高,快速性好,工程实现方便,而且不需要转动电机,具有广泛的实用性。     

山区河流船闸引航道布置型式

介绍山区河流的特点及船闸布置存在的问题,提出适应山区河流特点的船闸引航道布置型式。     

Cluster-based correlation of severe driving events with time and location

In this article, a systematic strategy is proposed to identify severe driving events occurrence correlation with time and location. The proposed approach, which is constructed based on batch clustering and real-time clustering techniques, incorporates historical and real-time data to predict the time and location of severe driving events. Batch clustering is implemented with the combination of subtractive clustering and fuzzy c-means clustering to generate clusters representing the initial correlation patterns. Real-time clustering is then developed to create and update real-time correlation patterns on the foundation of the batch clustering using the evolving Gustafson–Kessel like (eGKL) algorithm. In both clustering processes, the correlation of the events within time domain is identified first, and then two different levels of accurate correlations are conducted for the location domain. Real-time data of operating vehicles each equipped with a data acquisition and wireless communication platform are used to validate the proposed strategy. Batch clustering results reveal the severe braking events distribution and concentration at daytime and nighttime. Real-time clustering provides and updates the variation of the correlations/intercorrelation of different regions. Drivers can be notified of the potential severe driving locations through maps showing the driving routes. Through the variation of the correlations, drivers can recognize the events occurrence at different times and locations. The generated time series can be potentially used to develop spatial-time models for regions to model and forecast the events occurrence.     

《公路建设市场信用信息管理办法》在我国招投标行业的应用

《公路建设市场信用信息管理办法》颁布后,全国各省级交通主管部门结合实际情况,制定并完善了本行政区域内的公路建设市场信用信息管理实施细则和管理制度,使中国公路建设市场信用信息管理逐步走向规范化和制度化.     

株洲枢纽船闸下引航道口门区整治措施及效果分析

株洲枢纽船闸下引航道口门区及连接段布置在河道右岸滩地,为保证船闸正常通航,通过动床模型试验研究,优化确定了对该区域综合整治措施及施工方案,较好地解决了下引航道口门区及连接段通航、淤积等问题,工程实施1年多的通航情况表明,工程措施效果明显。     

The optimal dual-pricing policy of mall parking service

In studies of parking policy, the role of parking pricing has been addressed. Most researches have focused on the determination of a proper price for city parking spaces that are open to the public and it is now evident that price is used by authorities as a tool to manage transport demand. However, studies of parking pricing that pertain to privately-owned parking resources are few and in particular, the problem of setting a proper price for physical market parking has rarely been studied, such as a mall’s ‘dual-pricing portfolio’ decision for the simultaneous determination of a parking fee and the consumer spending required for free parking (i.e., the ‘threshold’). This is a common problem for most malls, but the different agents involved (e.g., the visitors, the mall, the marketplace and the parking lot departments) usually have diverse goals, so the decision must take account of a multiplicity of criteria and subtle relationships. In order to systematically support this type of inter-departmental decision process, a decision model that includes an analytical decision-aid process and the relevant programming models is established. A numerical example verifies the proposed model by taking the data for a mall in Taiwan and the implications, in terms of management, are given. This systematic computational model can be generalized to any type of commercial market that requires a (new) parking pricing policy.