图腾信仰与现代企业标志

图腾信仰发生于文明早期，是人类历史上共有的文化现象．图腾是原始社会部落组织的标志和象征，起着团结群体、维系社会组织和互相区别的职能，后逐渐成为一种教化的力量，号召全体氏族成员共同维护部落群体的安全及繁衍壮大．现代企业标志图形继承了原始图腾的信仰功能、文化意蕴，传达了企业所奉行的价值理念，是现代企业形象系统的灵魂，也是凝聚企业力量、振奋士气的重要法宝，成为新时期的图腾信仰之源．     

加强施工企业工地文化建设的若干思考

工地文化是施工企业长期培育而成的一种价值观念和工地精神。介绍了施工企业工地文化建设的重要性。针对企业存在对工地文化建设的认识盲点，详细论述了工地文化的内涵与外延以及推进工地文化建设的主要途径，最后对工地文化建设需要把握的几个环节作一阐述。     

当前农村两型文化建设的三个着力点

农村两型社会建设需要两型文化支撑。两型文化是一种崭新的文化样态、是一种先进的文化形式，两型文化建设是一项复杂系统工程，在我国经济文化比较落后的农村地区建设两型文化必然是一个长期艰巨的过程。因此，在建设过程中，必须加强领导和管理、加强宣传教育、加强法制。     

汉阳古镇旅游资源整合方案研究

武汉市汉阳区旅游资源丰富，素有武汉“大客厅”之美誉。其旅游资源整合开发的基本思路如下：用以大禹文化为内涵的一颗“中国心”，以知音文化、归元文化为内涵的两道亮色，以龟山公园、武汉动物园、武汉开发区工业园为基点的三园风光，另有四大旅游购物商圈、五项旅游服务保障和六条主题旅游线路设计，共同打造有声有色的汉阳游。     

Application of genetic algorithms for joint optimization of signal setting parameters and dynamic traffic assignment for the real network data

This paper presents the joint optimization of signal setting parameters and dynamic user equilibrium (DUE) traffic assignment for the congested urban road network. The simulation-based approach is employed to obtain the DUE condition for the case of multiple-origin multiple-destination traffic flows. The dynamic traffic assignment simulation program (DTASP), developed in C language is used to assign the traffic dynamically on the road network, whereas method of successive averages (MSA) is modified and used to arrive at the DUE condition. The artificial intelligence technique of genetic algorithms (GAs) is applied to obtain the optimal signal setting parameters and path flow distribution factor for DUE condition. The methodology developed in such a way that joint optimization of signal setting parameters with DUE is obtained. The proposed method is applied to the real network data of Fort Area of Mumbai city comprising of 17 nodes and 56 unidirectional links with 72 Origin–Destination pairs, where all the 17 nodes are signalized intersections. The traffic flow condition for the optimized signal setting parameters is considerably improved compared to the existing signal settings. The results prove that the GA is an effective technique to solve the joint optimization problem for the real network data.     

Intermodal and international freight network modeling

The authors describe the development and application of a single, integrated digital representation of a multimodal and transcontinental freight transportation network. The network was constructed to support the simulation of some five million origin to destination freight shipments reported as part of the 1997 United States Commodity Flow Survey. The paper focuses on the routing of the tens of thousands of intermodal freight movements reported in this survey. Routings involve different combinations of truck, rail and water transportation. Geographic information systems (GIS) technology was invaluable in the cost-effective construction and maintenance of this network and in the subsequent validation of mode sequences and route selections. However, computationally efficient routing of intermodal freight shipments was found to be most efficiently accomplished outside the GIS. Selection of appropriate intermodal routes required procedures for linking freight origins and destinations to the transportation network, procedures for modeling intermodal terminal transfers and inter-carrier interlining practices, and a procedure for generating multimodal impedance functions to reflect the relative costs of alternative, survey reported mode sequences.     

Efficient multiple model particle filtering for joint traffic state estimation and incident detection

This article proposes an efficient multiple model particle filter (EMMPF) to solve the problems of traffic state estimation and incident detection, which requires significantly less computation time compared to existing multiple model nonlinear filters. To incorporate the on ramps and off ramps on the highway, junction solvers for a traffic flow model with incident dynamics are developed. The effectiveness of the proposed EMMPF is assessed using a benchmark hybrid state estimation problem, and using synthetic traffic data generated by a micro-simulation software. Then, the traffic estimation framework is implemented using field data collected on Interstate 880 in California. The results show the EMMPF is capable of estimating the traffic state and detecting incidents and requires an order of magnitude less computation time compared to existing algorithms, especially when the hybrid system has a large number of rare models.     

The impact of road traffic noise on urban protected areas: A landscape modeling approach

We modeled the propagation of traffic noise over the landscape and analyzed its impact on the structure and configuration of protected areas of the Twin Cities Metro Region, Minnesota. Using four noise thresholds, we found that at low and medium noise levels, 19% and 11% of the protected areas are within the road-effect zone. Using mean patch area and patch shape index, we measured the acoustic fragmentation of habitats. We found that at higher levels of noise patch shape index increased, while mean patch size decreased. The acoustic diversity of a patch is also found to be correlated with land cover type, patch area, and patch shape.     

论当代车文化的内涵

按照文化人类学的解释，人类所创造的文化大致可分为物质文化、制度文化和精神文化三个层次。作为陆路交通工具的车，对推动社会经济的发展发挥了不可估量的作用，并直接导致人们生产、生活方式发生改革。本文从这三个层次出发，详细解析了当今车文化在各层次中体现的基本内涵。     

Traffic risk behavior and perceptions of Thai motorcyclists: A case study

This study aimed to investigate Thai motorcyclists' traffic risk behavior and their perceptions of it, information of value in the design and implementation of public health policies and campaigns for the reduction of road injuries. Data was collected by a self-administered questionnaire completed by 399 motorcyclists in Muang Krabi district, Krabi province, Thailand. The questionnaire focused on the respondents' perceptions of general traffic risks and the specific risks at 3 identified hazardous sites. The results of the survey indicated that the correct fastening of helmet straps had a relationship with responsible traffic risk perceptions.