基于城市文化生态下的交通系统规划设计思考

本文主要是通过分析城市不同功能的模块的内在属性,探究城市交通系统如何在适应城市文化生态系统的情况下,通过合理的规划设计,实现自身功能的最大化,其次详细的阐述了为何要将城市的文化生态系统融合于如今城市快速发展建设中融合,最后针对城市不同功能模块提出了相应有效的交通规划设计思路。     

国土空间规划体系下地下空间规划编制研究

理解地下空间的内涵,指出地下空间是城市重要的战略资源。提出转变地下空间发展理念,突出规划的引领作用。以北京市为例,结合北京地下空间规划建设经验,探索构建“全市—分区—特定地区”的地下空间规划编制体系,落实“生态优先、底线约束、专项统筹、刚性管控”的国土空间规划要求,提出各级地下空间规划编制的重点内容和技术方法。指出加强地下空间体制机制建设应从建立地下空间综合管理机制、推进地下空间技术标准整合、健全完善地下空间立法体系、建立国土空间三维信息平台4方面着手,健全地下空间规划实施保障。认为： 地下空间规划作为国土空间规划中的专项规划,应建立与国土空间规划体系相衔接的地下空间规划编制体系;在规划层级上,逐步建立和完善“全市—分区—特定地区”的全域、全要素地下空间规划体系,推动各级地下空间规划编制;在规划内容上,地下空间作为重要的国土空间资源,应立足地下空间资源禀赋和环境承载能力,明确地下空间生态安全底线,科学判断地下空间生态适宜性分区和开发利用重点分区,有效协调各类地下功能设施布局关系;在规划实施方面,应健全地下空间的刚性管控传导机制,加强地下空间的体制机制建设,完善地下空间部门管理、技术标准、权属管理、信息管理等方面的相关法律规范,以科学指导地下空间资源的合理有序利用。     

盐田港总体规划实施的环境影响研究

在对盐田港及附近区域环境质量现状调查、监测与评价的基础上,依据相关的环保法规与标准,集合区域社会、经济发展的规划目标,识别规划环境影响的主要因子,提出盐田港区总体规划开发过程中的主要环境问题,从而提出合理开发利用资源、调整经济发展格局及环保综合治理的措施和建议,用以指导建设生态型现代化的盐田港区。     

综合交通枢纽智慧停车场一体化设计关键技术研究

综合交通枢纽智慧停车场的建设可以实现枢纽客流的快速疏散,提高枢纽运行效率,降低管控压力。目前交通枢纽停车场的建设更注重停车场自身运营管理中智慧系统的建设,但对旅客停车出行链缺乏一体化融合,对周边交通缺乏一体化协同,并出现多主体管理缺乏信息交互的情况。结合智慧停车场功能需求,研究实现功能需求的关键技术,希望为综合交通枢纽智慧停车场建设提供经验借鉴与思考。     

基于改进LSTM-NN的安全性自动驾驶换道轨迹规划模型

为改善现有的自动驾驶换道轨迹规划模型产生的换道轨迹与真实的换道轨迹存在较大偏差的问题,提出了一种改进LSTM-NN的安全敏感性深度学习模型,该模型可以缓解当前自动驾驶轨迹规划存在的不足,输出轨迹既保证了较高的精度又提高了安全性。CarSim仿真软件模拟了本模型产生轨迹的可跟踪性,结果显示轨迹非常平滑,并且自动驾驶车辆可以高效、安全地完成换道。     

关于天津临港产业区总体规划的构想

从规划选址和建设规模、功能定位、平面布局、规划中的重点问题等四个方面,对临港产业区的总体规划构想进行了阐述。     

Developing a Spatially Enabled Inventory of Recreational Boats Using Vessel Registration Data

Effective waterway management requires information on the characteristics and locations of boats. A field-based boat census—a traditional method to obtain spatially accurate information—is relatively expensive, time-consuming, and restrictive in scope. Vessel registration data, maintained by all U.S. states, is potentially a more robust information source. This research evaluated the accuracy and reliability of vessel registration data to supply location and attribute information for boats. The study premise was to use vessel registration data, which includes the mailing address of registered boat owners, to develop a spatially enabled inventory of boats. The study area comprised 12,064 salt-water accessible property parcels in two Florida counties. An on-water census (OWC) provided location and characteristics for 5,023 vessels, which were compared to 8,681 vessel registration records linked to the study area. Discrepancies between the OWC and vessel registration data were explained by a stratified, random sample of 485 telephone survey respondents. Study results show that vessel registration data accurately located and characterized roughly 81% of the boat population; in contrast, the OWC accurately located less than 56%. A conclusion is that state vessel registration data is a better alternative than an OWC for locating and characterizing boats kept along waterways.     

TRIP DISTRIBUTION MODELLING USING FUZZY LOGIC AND A GENETIC ALGORITHM

This article examines possibilities for the application of soft computing techniques for the prediction of travel demand. The model, based on fuzzy logic and a genetic algorithm, successfully solves the trip distribution problem. The possibilities of using the proposed model in solving trip generation, modal split and route choice problems have also been indicated. The model has been tested on a real numerical example. Exceptionally good correspondences between estimated and real values of passenger flows have been obtained.     

A hybrid optimization-simulation approach for robust weekly aircraft routing and retiming

We address the robust weekly aircraft routing and retiming problem, which requires determining weekly schedules for a heterogeneous fleet that maximizes the aircraft on-time performance, minimizes the total delay, and minimizes the number of delayed passengers. The fleet is required to serve a set of flights having known departure time windows while satisfying maintenance constraints. All flights are subject to random delays that may propagate through the network. We propose to solve this problem using a hybrid optimization-simulation approach based on a novel mixed-integer nonlinear programming model for the robust weekly aircraft maintenance routing problem. For this model, we provide an equivalent mixed-integer linear programming formulation that can be solved using a commercial solver. Furthermore, we describe a Monte-Carlo-based procedure for sequentially adjusting the flight departure times. We perform an extensive computational study using instances obtained from a major international airline, having up to 3387 flights and 164 aircraft, which demonstrates the efficacy of the proposed approach. Using the simulation software SimAir to assess the robustness of the solutions produced by our approach in comparison with that for the original solutions implemented by the airline, we found that on-time performance was improved by 9.8–16.0%, cumulative delay was reduced by 25.4–33.1%, and the number of delayed passengers was reduced by 8.2–51.6%.