中心城区路网优化策略研究 ——以沧州市为例

为解决中心城区道路拥堵问题,分析了城区交通拥堵形成的主要原因,并基于此提出中心城区路网优化策略。以沧州市中心城区为例,详细阐述了其路网优化设计的基本思路和路网布局,最终得出沧州市中心城区路网优化设计方案。     

泡沫轻质土在路桥衔接处路基处理中的应用

泡沫轻质土作为近年来常用的一种新型材料,具有轻质性、整体性、抗压性、耐久性、环保性等良好的工程特性。与传统填料相比,泡沫轻质土的抗压及高强特性,对工后沉降的控制更具优势。特别当采用泡沫轻质土对路桥衔接段路基进行处理时,可大幅降低填土荷重,减少工后沉降及影响深度。现结合工程实例,详细阐述了泡沫轻质土在路桥衔接处路基处理中,采用的主要设计技术指标、设计要点及施工要点,为该材料在工程领域推广应用提供参考。     

基于体能消耗规律的游憩道路规划建设

随着当前社会经济的进步,我国旅游行业发展极为迅速,人们休闲意识的提升,旅游以及游憩活动在人们日常生活中逐步增多,而游憩作为人们旅游的重要组成内容,游憩道路必须结合人们体能消耗规律进行实时规划建设,虽然目前人类交通方式的多元化使得游憩活动空间障碍得以有效减少,但徒步游览仍是大部分观光型景区及游憩区的主要活动方式,这个过程中人们游憩道路过长,体能消耗所带来的疲劳感往往会导致其自身游览满意度降低,甚至对自身健康带来一定安全隐患,且老人和幼儿等特殊人群活动时间及活动方式有限,也使其对游憩道路要求更高。对基于体能消耗规律的游憩道路规划建设,进行分析探讨,并对其做相应整理和总结。     

城市道路网可行性研究中CIVIL 3D应用浅谈

以武汉航空企业总部区域市政配套工程(四期)为例,采用AutoCAD Civil 3D计算道路和场地土石方,并与传统设计软件EICAD进行了比较。对Civil 3D的运用进行了简单的探索。     

宜昌市夜明珠路总体方案研究

结合宜昌BRT(快速公交系统)建设对宜昌市夜明珠路进行改造,受众多因素控制,道路改造难度较高。介绍了工程建设条件及总体设计方案。总体方案结合路线两侧现状地形、控制因素等不同特点,将路线分为沿河线段和合流线段两个典型路段,并进行方案比选,综合各方面因素,得出了推荐方案。     

扎（木）墨（脱）公路病害分析与处治

文章结合扎墨简易公路便道整修工程实践,介绍了扎墨公路沿线地质的工程特性、分类以及该路线上的公路病害情况,提出了相应的病害处治措施及在扎墨公路沿线区域进行公路工程施工应注意的问题。     

旧路加宽路面纵向开裂原因分析与防治

针对公路改建工程中出现的沥青路面纵向开裂这一常见现象,结合省道改建工程的设计特点与施工要点,重点就加宽路基部位与路面各结构层的施工质量控制方面进行分析和阐述,提出施工控制方法及相应的处理措施。     

Developing an enhanced weight-based topological map-matching algorithm for intelligent transport systems

Map-matching (MM) algorithms integrate positioning data from a Global Positioning System (or a number of other positioning sensors) with a spatial road map with the aim of identifying the road segment on which a user (or a vehicle) is travelling and the location on that segment. Amongst the family of MM algorithms consisting of geometric, topological, probabilistic and advanced, topological MM (tMM) algorithms are relatively simple, easy and quick, enabling them to be implemented in real-time. Therefore, a tMM algorithm is used in many navigation devices manufactured by industry. However, existing tMM algorithms have a number of limitations which affect their performance relative to advanced MM algorithms. This paper demonstrates that it is possible by addressing these issues to significantly improve the performance of a tMM algorithm. This paper describes the development of an enhanced weight-based tMM algorithm in which the weights are determined from real-world field data using an optimisation technique. Two new weights for turn-restriction at junctions and link connectivity are introduced to improve the performance of matching, especially at junctions. A new procedure is developed for the initial map-matching process. Two consistency checks are introduced to minimise mismatches. The enhanced map-matching algorithm was tested using field data from dense urban areas and suburban areas. The algorithm identified 96.8% and 95.93% of the links correctly for positioning data collected in urban areas of central London and Washington, DC, respectively. In case of suburban area, in the west of London, the algorithm succeeded with 96.71% correct link identification with a horizontal accuracy of 9.81 m (2σ). This is superior to most existing topological MM algorithms and has the potential to support the navigation modules of many Intelligent Transport System (ITS) services.     

Vulnerability analysis for large-scale and congested road networks with demand uncertainty

To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an “impact area” vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers’ risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers’ risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links.