A field evaluation case study of the environmental and energy impacts of traffic calming

This study quantifies the energy and environmental impact of a selection of traffic calming measures using a combination of second-by-second floating-car global positioning system data and microscopic energy and emission models. It finds that traffic calming may result in negative impacts on vehicle fuel consumption and emission rates if drivers exert aggressive acceleration levels to speed up to their journeys. Consequently by eliminating sharp acceleration maneuvers significant savings in vehicle fuel consumption and emission rates are achievable through driver education. The study also demonstrates that high emitting vehicles produce CO emissions that are up to 25 times higher than normal vehicle emission levels while low emitting vehicles produce emissions that are 15–35% of normal vehicles. The relative increases in vehicle fuel consumption and emission levels associated with the sample traffic calming measures are consistent and similar for normal, low, and high emitting vehicles.     

大型综合交通枢纽指路标志系统设置研究

城市大型综合交通枢纽由于其功能多样,辐射广泛,周边路网复杂,因此对其指路标志系统需要专门设计。文章以上海市虹桥综合交通枢纽指路标志系统为研究对象,从路网结构及交通流特性出发,将指路标志系统按出行者需求层次分为四级,并提出相应的指路标志设置原则及方法,供相关部门参考。     

广西南梧公路苍梧县林水段通行能力研究

文章对南梧公路苍梧县林水段通行能力和服务水平进行了研究和比较,介绍了通行能力计算公式和参数选取过程,论证了该路段的通行能力可以满足2020年前的交通需求,并提出了提高现有公路通行能力的方法和建议。     

桂林市老城区分流交通保护圈规划设计

文章基于桂林市老城区交通现状,分析了老城区交通存在的主要问题,提出了桂林市老城区分流交通保护圈规划的总体思路,并根据这一思路设计出具体的老城区分流交通保护圈规划方案,为桂林市老城区交通系统规划提供决策依据。     

Efficient missing data imputing for traffic flow by considering temporal and spatial dependence

The missing data problem remains as a difficulty in a diverse variety of transportation applications, e.g. traffic flow prediction and traffic pattern recognition. To solve this problem, numerous algorithms had been proposed in the last decade to impute the missed data. However, few existing studies had fully used the traffic flow information of neighboring detecting points to improve imputing performance. In this paper, probabilistic principle component analysis (PPCA) based imputing method, which had been proven to be one of the most effective imputing methods without using temporal or spatial dependence, is extended to utilize the information of multiple points. We systematically examine the potential benefits of multi-point data fusion and study the possible influence of measurement time lags. Tests indicate that the hidden temporal–spatial dependence is nonlinear and could be better retrieved by kernel probabilistic principle component analysis (KPPCA) based method rather than PPCA method. Comparison proves that imputing errors can be notably reduced, if temporal–spatial dependence has been appropriately considered.     

Modeling the Car-Truck Interaction in a System-Optimal Dynamic Traffic Assignment Model

Several transportation problems, such as implementation of truck-only lanes, require understanding the interaction of heterogeneous dynamic traffic flows in order to provide accurate solutions. System-optimal dynamic traffic assignment can be modeled using a network loading procedure based on the cell transmission model, that is, the hydrodynamic wave model, and solved by linear programming. However, this framework cannot handle the asymmetric integration between the flow of trucks and cars. This article presents a novel formulation for network loading in system-optimal dynamic traffic assignment considering car–truck interactions. By using an embedded cell transmission model, this formulation incorporates a set of assumptions related to the kinematic characteristics of the flow of cars, trucks, and their interactions that can be solved using linear programming. We present numerical results supporting our modeling assumptions. Likewise, the observed emergent behavior captures the car–truck interactions accurately and indicates that minimum system-optimal travel time is obtained by encouraging cars to use highways with shorter distances.     

Did California’s hand-held cell phone ban reduce accidents?

On July 1st, 2008, California enacted a ban on hand-held cell phone use while driving. Using California Highway Patrol panel accident data for California freeways from January 1st, 2008 to December 31st, 2008, we examine whether this policy reduced the number of accidents on California highways. To control for unobserved time-varying effects that could be correlated with the ban, we use high-frequency data and a regression discontinuity design. We find no evidence that the ban on hand-held cell phone use led to a reduction in traffic accidents.     

变形车辆自标定三维重建的建模研究

变形车辆测量是道路交通事故再现的重要基础性工作。建立基于普通数码相机的事故变形车辆自标定三维重建模型,可以避免在现场设置标定物,有利于提高变形车辆的勘测效率和三维重建设备的使用方便性。研究了基于基础矩阵估计的事故变形车辆摄影图像自标定三维模型,并分析了其实现过程。实验表明,自标定三维重建能为事故再现提供详细的车辆变形描述。     

山区高速公路隧道典型安全因素分析及其对策研究

文章针对西部多条山区高速公路隧道运营安全情况,分析山区高速公路隧道的典型安全事故及原因,提出了基于车速限制、车道限制、照明控制与交通安全设施的安全对策,为山区高速公路隧道的安全运营提供参考。     

公路诱增交通量预测方法综述

本本文首先讨论了诱增交通量的概念,并按不同的发展阶段对其分类。结合不同类型诱增交通量的特性,分析总结了各种诱增交通量预测方法的适用范围,并用实例验证。