关于深圳至珠海间伶仃洋通道的线路走向方案研究

粤港澳大湾区各城市间互联互通,协同发展是践行重大国家战略的重大举措。深港区域和珠澳区域是湾区空间布局的两个重要发展极,两个区域之间有伶仃洋天堑阻隔,严重制约了湾区一体化发展。充分考虑珠江口伶仃洋区域高等级航道众多,航运繁忙,两岸港口、码头、锚地密集分布的现状,对在深圳至珠海间的伶仃洋上建设新通道进行了仔细研究,统筹分析两个区域间的城市规划、水工设施等因素,对该通道的线路走向从宏观到具体进行了多方面的技术经济分析,从线路走向,到人工岛的设置,再到各方案对海洋资源的适应性等方面进行了系统的比较,提出适应发展的建议走向,为项目的研究提供瞻望性借鉴。     

山西中南部铁路莱芜绕避采空区改线方案研究

山西中南部铁路线路穿越莱芜矿区,由于垂杨铁矿非法向铁路方向开采,导致铁路线路走行在采空区影响区内,存在重大安全隐患。在广泛收集并消化吸收莱芜矿区及区域地表移动规律资料的基础上,结合本地区矿床赋存条件、地质构造和开采方式等因素,按工程地质类比法,采用地面塌陷移动角的方法,找出安全可靠的铁路廊道通过矿区。通过方案比选,推荐满足铁路运营安全,符合城市规划布局,绕避了港里村等重大拆迁工程,工程可实施性较强的沿汇合大道方案。矿区铁路可采用地面塌陷移动角的方法进行铁路选线,可有效缩短铁路安全廊道的距离,大大减少压覆矿藏的数量,对矿区铁路选线有一定指导价值。     

连盐铁路连云港地区线路引入方案研究

主要介绍了连盐铁路线路方案的选线思路及设计原则,并结合路网规划、城市规划、沿线地形地质条件,着重对连云港地区多方案比较研究后,以连云港站西端引入,经云台山站东出的西进东出方案为推荐方案,既便于运输组织,又有利于地方港口开发。     

IS导管血管壁内局部导入c-myc反义寡核苷酸预防PTCA术后再狭窄的实验研究

目的　探讨IS导管局部导入c myc反义寡核苷酸及c myc反义寡核苷酸对血管平滑肌细胞的抑制作用。方法　 2 1只家兔 ,对照组 6只 ,反义寡核苷酸治疗组 15只。用IS导管导入c myc反义寡核苷酸 (1mg)于球囊损伤的髂动脉后 ,动脉血管造影。病理切片 ,图象分析测定新生内膜、中膜、面积和厚度 ,c myc蛋白免疫组化染色。 结果　动脉造影对照组 5 0 %～ 80 %局限狭窄 ,给药组 10 %～ 30 %局限狭窄。光镜观察结果显示 :血管内膜增生面积给药组为 (4.0 4± 1.0 2 )× 10 5μm2 ,对照组为 (7.6 6± 3.7)× 10 5μm ,(P <0 .0 5 ) ;对照组c myc免疫组织化学染色阳性 ,给药组血管c myc免疫组织化学染色显示弱阳性或阴性。结论　IS导管可在体局部导入反义寡核苷酸于动脉损伤靶点 ;c myc反义寡核苷酸可抑制SMCs迁移、增生及新生内膜的形成     

光网络业务恢复算法研究

光网络拓扑结构的变化破坏网络中端到端的连接业务和业务环．根据原有业务路由和结构改变后的网络结构，从原有业务的正向和反向搜索，找出原有业务路由的正向和反向断点；通过回溯法和路由算法搜索出断点之间的路由，连接正向断点之前的路由、断点之间的路由和反向断点之后的路由实现业务恢复。     

低交通量道路路线技术标准的研究

基于低交通量道路概念,通过对低交通量道路路线技术指标的分析研究,制定符合农村实际情况的路线标准,对农村公路建设具有指导意义,值得同行借鉴.     

A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit

Deviated fixed route transit (DFRT) service connecting rural and urban areas is a growing transportation mode in the USA. Little research has been done to develop frameworks for route design. A methodology to explore the most cost‐effective DFRT route is presented in this paper. The inputs include potential DFRT demand distribution and a road network. A heuristic is used to build possible routes by starting at urban cores and extending in all network directions in certain length increments. All the DFRT routes falling in the length range desired by the users are selected. The cost effectiveness of those routes, defined by operating cost per passenger trip, is compared. The most cost‐effective route is selected and presented in a GIS map. A case study illustrates the methodology in several Tennessee metropolitan regions. The most cost‐effective route length is case specific; some routes (e.g. those out of our Nashville case) are most cost effective when short, while others (e.g. those out of Memphis) are most cost effective when long. Government agencies could use the method to identify routes with the lowest operating cost per passenger given a route length or an operating cost budget. Copyright © 2016 John Wiley & Sons, Ltd.     

Development of a driving cycle for Colombo,Sri Lanka: an economical approach for developing countries

Financial constraints and lack of availability of traffic‐related information significantly hinder the development of driving cycles in developing countries. This paper proposes an economical, practical, accurate methodology for the development of driving cycles, including the development of a driving cycle for Colombo, Sri Lanka. The proposed methodology captures regional traffic and road conditions and selects a model that represents the collected data sample with minimum available traffic‐related information. Existing methods were modified for route selection by dividing routes into links using nodes or physical junctions to minimize the number of trips required for data collection. Speed–time data for respective links were used to reconstruct speed–time profiles of identified origin–destination pairs. The on‐board method was used for data collection, and the Markov chain theory was used to develop a transition probability matrix of state changes. An additional matrix was introduced to the existing method to improve model representativeness to the collected data sample. Copyright © 2016 John Wiley & Sons, Ltd.     

Short/medium-term prediction for the aviation emissions in the en route airspace considering the fluctuation in air traffic demand

This paper proposes a novel short/medium-term prediction method for aviation emissions distribution in en route airspace. An en route traffic demand model characterizing both the dynamics and the fluctuation of the actual traffic demand is developed, based on which the variation and the uncertainty of the short/medium-term traffic growth are predicted. Building on the demand forecast the Boeing Fuel Flow Method 2 is applied to estimate the fuel consumption and the resulting aviation emissions in the en route airspace. Based on the traffic demand prediction and the en route emissions estimation, an aviation emissions prediction model is built, which can be used to forecast the generation of en route emissions with uncertainty limits. The developed method is applied to a real data set from Hefei Area Control Center for the en route emission prediction in the next 5 years, with time granularities of both months and years. To validate the uncertainty limits associated with the emission prediction, this paper also presents the prediction results based on future traffic demand derived from the regression model widely adopted by FAA and Eurocontrol. The analysis of the case study shows that the proposed method can characterize well the dynamics and the fluctuation of the en route emissions, thereby providing satisfactory prediction results with appropriate uncertainty limits. The prediction results show a gradual growth at an average annual rate of 7.74%, and the monthly prediction results reveal distinct fluctuation patterns in the growth.     

A self-regulation traffic-condition-based route guidance strategy with realistic considerations: Overlapping routes,stochastic traffic,and signalized intersections

Variable message signs that provide various types of route guidance information have been widely deployed in large cities. To release proper information only using easily collected data, a simple traffic-condition-based (TCB) route guidance strategy was recently proposed. The strategy works based on the estimation of free-flow and congested traffic conditions and is capable of approximating user optimal equilibrium stably. Due to little consideration of the complexity of urban road networks, the TCB strategy is still away from field applications in urban areas. To further push the strategy toward field tests, this article improves the TCB strategy in the following aspects: supplementing the strategy with a self-regulation ability by considering existing traffic conditions; decomposing link capacity to solve the problem of overlapping routes by comparing link capacity on alternative routes; coping with stochastic traffic; and the impact of signalized intersections by utilizing aggregated data. A scenario for an urban road network in Beijing, China, is simulated to test the improved strategy, and the simulation results clearly indicate the effectiveness of the proposed improvements. The improvements extend the TCB strategy on moderately complicated urban road networks, and still have the advantages of simple diversion rules, easily obtained input data, and stable and effective diversion processes.