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.     

大庆至广州高速公路河北段路线优化中

大广高速公路河北段路线长,地质条件十分复杂,在工程前期设计中通过对路线的优化,很好地解决了地基处理问题和环境保护问题,值得同行借鉴。     

山区高速公路选线方案评价

针对山区高速公路保护自然环境的选线设计,通过设计调查、专家咨询并结合规范要求,筛选出10项设计评价指标,确定了指标的等级标准;应用物元理论和层次分析法建立评价模型,对待评方案进行分析评价．将建立的指标体系及评价模型应用于工程实例,优选最佳路线设计方案．     

三屯营至抚宁公路唐山段路线优化研究

河北北部山区三抚公路的路线优化过程中提出了在新形势下建设新型公路、和谐公路的新理念,适当加大前期投入,确保公路使用安全,减少了后期养护费用,提高了公路的使用寿命,并为新时期的山区公路建设提出了新的看法和新的设计思路。     

安全性评价指标在高速公路路线设计中的应用与分析

《公路项目安全性评价指南》为行业推荐性标准,公路行业自愿采用。"安全、环保、舒适、和谐"的新设计理念对高速公路的安全性从路线、路基、路面及桥涵构造物等方面提出了新的要求。结合广东省某高速公路自身特点,主要对安全性评价指标在路线设计方面的指导意义做简单论述和分析。     

轨道交通是城市公共交通发展的方向

在分析国外城市公共交通发展历史和哈尔滨市公共交通实际状况的基础上,阐述了轨道交通发展的方向及其优越性,论述了哈尔滨市发展轨道交通的有利条件及其产生的良好效益。     

Overview of intelligent ship route optimization methods北大核心CSCD

智能船舶航线优化在学术界和工业界均受到越来越多的关注。针对智能船舶航线优化问题,从航线设计方法和航线优化算法这2个层面,分别阐述各种设计方法和优化算法的特点。结合近5年来的最新研究成果,在分析国内外智能船舶航线优化技术发展现状的基础上,将航线设计方法归纳为3种,即基于气象数据的航线优化、基于油耗模型的航线优化以及基于航线库或航路点库的航线优化,剖析其技术内涵及应用情况;深入分析改进的等时线法、动态规划法、图形搜索算法、智能算法、人工智能和机器学习算法的特性及不足,总结归纳将各类算法应用于智能船舶航线优化时存在的主要问题。最后,简要展望智能船舶航线优化的发展趋势,为未来在该领域的研究提供一定的思路。     

济南齐鲁黄河大桥总体方案研究

齐鲁黄河大桥是济南北跨携河发展的"三桥一隧"战略通道之一,直接联系南岸组团与北岸桑梓店地区中心,项目建设对济南市实现北跨发展建设黄河新区、建设新旧动能转换先行区有重要意义.基于桥位建设条件和限制因素,综合考虑技术条件、工程造价、环境影响等因素,对齐鲁黄河大桥路线方案、公轨合建模式、跨黄河大桥方案进行比选与设计,相关经验...