济南轨道交通规划中的独特性分析

济南轨道交通规划围绕泉水保护和带形城市两大特点,形成自身鲜明的独特性,主要体现在工程地质研究、快线网、建设时序以及交通一体化等几个方面。济南轨道交通规划以泉水保护研究为先行研究,开创线网规划阶段工程地质研究前置的独特性,划定"保泉敏感区",保证规划方案的可实施性和稳定性;适应带形城市空间形态特点,采用快线穿城的形式,形成双网双模式的线网方案,选择既有胶济铁路走廊作为穿城快线走廊,保证快线在城市中心区能快得起来;济南轨道交通规划的独特性还体现在先易后难、先快后慢、先外后内的建设时序和核心区交通一体化方面。     

复杂地形条件下高铁枢纽片区路网及场地竖向规划设计研究

结合荆门高铁西站片区路网及场地竖向规划实例,分析复杂地形条件下高铁枢纽片区场地竖向规划设计的特点,提出竖向规划设计互反馈流程,从路网及场地竖向规划设计两个方面梳理了竖向控制因素要点、竖向分区、土方填挖要求及土方计算与调配方法.最后总结认为:复杂地形条件下,道路及场地竖向规划应综合考虑铁路、市政道路、地面排水防洪、用地性质、土石方平衡、城市景观和工程建设等方面的要求;道路及场地竖向规划设计应互为交叉反馈,满足土方总体平衡,工程建设经济合理,实现总体竖向规划设计方案的合理可行.     

关于景区规划的总体内容研究与分析

简要介绍景区规划中,关于总体规划内容的研究和分析,主要包括总体布局、功能布局、人口规模控制、道路交通规划、用地布局、公共服务设施规划、商业金融服务设施规划、市政基础设施规划、管线综合工程规划、环卫工程等内容。以响水县云梯关景区为例,对其中比较重要的总体布局、功能布局、用地布局、道路交通规划等内容进行深入研究,可为其他景区的规划编制工作提供参考。     

Automated driving recognition technologies for adverse weather conditions

During automated driving in urban areas, decisions must be made while recognizing the surrounding environment using sensors such as camera, Light Detection and Ranging (LiDAR), millimeter-wave radar (MWR), and the global navigation satellite system (GNSS). The ability to drive under various environmental conditions is an important issue for automated driving on any road. In order to introduce the automated vehicles into the markets, the ability to evaluate various traffic conditions and navigate safely presents serious challenges. Another important challenge is the development of a robust recognition system can account for adverse weather conditions. Sun glare, rain, fog, and snow are adverse weather conditions that can occur in the driving environment. This paper summarizes research focused on automated driving technologies and discuss challenges to identifying adverse weather and other situations that make driving difficult, thus complicating the introduction of automated vehicles to the market.     

不可行集蚁群算法在铁路放射性物质载运中的应用

研究铁路货物运输中放射性物质的载运问题,目的是把安全运输与车辆的合理利用有机结合.以货物的客户要求期限与铁路运到期限之差的数学期望、铁路车辆的载重量利用率、装载货物的轻重搭配合理程度作为研究问题的3个目标;将装载货物运输指数限制、车辆标记载重限制、车辆载货容积限制、装载加固限制作为研究问题的约束条件,建立多目标规划模型.依据目标的重要性确定权向量,根据运输实际情况确定理想点,利用理想点法将多目标规划问题转化为单目标规划问题.运用基于不可行集的蚁群算法求得多目标规划问题的有效解.本文给出铁路放射性物质载运问题的计算实例,编程计算的结果证明蚁群算法具有较高的效率和可靠性.     

新校区网络规划探讨

本文根据新校区校园网的规划和建设历程，探讨了针对当前新校区校园网建设所涉及的具体规划原则和方法，提出了现阶段新校区网络技术的选择标准。     

基于链接图法和遗传算法的航路规划

航迹规划对军用飞行器完成任务具有重要的意义。链接图的特点是简单明了，文章针对链接图法进行航路规划的不足，使用遗传算法进行再次优化，使该航路满足了性能要求。最后给出了仿真，反正结果表明该方法的可行性。     

Public opinion and the environment: Ecology,the coastal zone,and public policy

Abstract

In a public opinion survey conducted in Santa Barbara county, California, respondents were interviewed regarding their feelings on coastal zone development, within a context of broader environmental and political issues.

A high degree of expressed concern for the environment was found, but the data also indicate a widespread reluctance to allocate a greater share of personal income to improve environmental quality.

Among the issues dealt with are citizen views on environmental problems, the effectiveness of government in the environmental field, offshore oil drilling, and coastal zone development.

The results show that on each of the issues analyzed, a person's education, age, and the extent of his political participation are the major factors which determine his concern for the environment. Additional variables appear to have some significance in determining attitudes toward local environmental projects and perceptions of government.

Offered are implications of the findings for the future of organized action on environmental problems.     

Regional fishery management councils: The federal perspective

Abstract

Under the Magnuson Fishery Conservation and Management Act of 1976, the federal government cooperates with states, the fishing industry, and public constituencies to regulate fisheries. This paper notes changes in U.S. fisheries over the last decade, remarks on the effectiveness of the Act, and makes suggestions for an improved fishery management process.     

基于增量搜索的车辆动态路径规划算法研究

D＊Lite算法是一种非常高效的增量搜索算法,适合于动态环境下的路径规划。文章基于D＊Lite算法的原理,对该算法的性能及应用于车辆路径规划的适用性进行改进,提高了算法的稳定性和结果的可靠性,并通过试验和算法评价验证了改进的D＊Lite算法在复杂、动态环境下规划路径的有效性。