The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

厦门经济特区扩容背景下的城市交通战略规划探讨

在国务院批准厦门经济特区扩大到全市的背景下,结合分析厦门城市近年来交通现状的基础上,紧紧围绕“全城厦门的理念统筹城乡交通战略规划,积极推进岛内岛外交通一体化建设,构筑以公共交通为主体的可持续城市交通发展模式.     

浅析醉酒驾驶行为的刑罚处罚

近年来,各地接连发生由于醉酒驾驶引发的群死群伤交通事故.由于缺少刑罚处罚依据,肇事者往往仅受到行政处罚,群众严惩酒后驾驶的呼声日渐高涨.醉酒驾驶入刑,体现了政府重典治理醉驾,加大对醉驾的执法力度.     

A data-driven operational model for traffic at the Dallas Fort Worth International Airport

Airports are on the front line of significant innovations, allowing the movement of more people and goods faster, cheaper, and with greater convenience. As air travel continues to grow, airports will face challenges in responding to increasing passenger vehicle traffic, which leads to lower operational efficiency, poor air quality, and security concerns. This paper evaluates methods for traffic demand forecasting combined with traffic microsimulation, which will allow airport operations staff to accurately predict traffic and congestion. Using two years of detailed data describing individual vehicle arrivals and departures, aircraft movements, and weather at Dallas-Fort Worth (DFW) International Airport, we evaluate multiple prediction methods including the Auto Regressive Integrated Moving Average (ARIMA) family of models, traditional machine learning models, and DeepAR, a modern recurrent neural network (RNN). We find that these algorithms are able to capture the diurnal trends in the surface traffic, and all do very well when predicting the next 30 minutes of demand. Longer forecast horizons are moderately effective, demonstrating the challenge of this problem and highlighting promising techniques as well as potential areas for improvement.Traffic demand is not the only factor that contributes to terminal congestion, because temporary changes to the road network, such as a lane closure, can make benign traffic demand highly congested. Combining a demand forecast with a traffic microsimulation framework provides a complete picture of traffic and its consequences. The result is an operational intelligence platform for exploring policy changes, as well as infrastructure expansion and disruption scenarios. To demonstrate the value of this approach, we present results from a case study at DFW Airport assessing the impact of a policy change for vehicle routing in high demand scenarios. This framework can assist airports like DFW as they tackle daily operational challenges, as well as explore the integration of emerging technology and expansion of their services into long term plans.     

Considerations in the diffusion of a public traffic app for Metro Manila

The proliferation of apps enabling motorists to access traffic information on the move introduces several intriguing possibilities for transportation authorities. In the expectation that public demand for these apps will increase as both road traffic and smartphone ownership rise, these tools invite consideration alongside other traffic management tools. Traffic app-specific considerations include increased motorist interactivity, consumer technology diffusion, and institutional factors affecting the rollout of e-government initiatives. This article uses the introduction of the MMDA Traffic Navigator—a Manila-based, publicly developed traffic app—to illustrate these considerations. Additionally, app usage among residents of nearby cities constituting Manila’s extended metropolitan region is considered. These considerations are subsequently classified using a 4E framework under economy, effectiveness, efficiency, and equity to inform other authorities’ efforts to either incorporate traffic apps into overall transport planning or even take the initiative in developing them.     

“四阶段法”中运量分配的路网断面剖切技术研究

针对四阶段法的运量分配过程中存在对路网动态变化的适应性反应迟钝、相关径路双向交流产生的大量回流量重复计算、通道交流量缺乏总量控制调节关键环节等问题,提出采用路网断面动态剖切技术,给出具体操作步骤和基本算法,并与传统运量分配方法进行优劣分析。通过宝中线运量预测的实例计算分析,说明断面剖切技术的实际应用。     

Tradable travel credits for congestion management with heterogeneous users

This paper carries on the recent work of Yang and Wang (2011) on tradable credit schemes by considering heterogeneous users with different value of time (VOT). Given a tradable credit scheme, the user equilibrium (UE) and market equilibrium (ME) conditions with heterogeneous users are formulated into a variational inequalities (VI) problem. Sufficient conditions for uniqueness of the aggregate UE link flows and then the ME credit price are established. Appropriate tradable credit schemes are developed to decentralize system optimal and Pareto-improving network flow patterns. Extension is made to the elastic demand case.     

铁路编组站布局的双层规划方法研究

运用双层规划对编组站布局问题进行描述,上层规划表示决策者为了达到车流组织最优而采取的最优投资策略,下层规划为给定编组站布局方案条件下的车流组织优化。通过对上层和下层问题分别剖析,构建了编组站布局的双层规划模型,考虑到模型的复杂性,提出应用遗传算法求解,并给出了求解策略。研究结果表明,双层规划方法适用于实际编组站布局问题决策。     

The distinction between commercial and non-commercial bus services in Germany: Given by nature?

German public transport services by bus are characterized by a regulatory framework that distinguishes between commercial and non-commercial services. Contrary to the apparent views of legislators, this paper shows that costs and revenues are not the only parameters determining whether or not operators are able to provide services in a commercially viable way.Apart from the local characteristics of the specific service, we show that the classification of services as commercial versus non-commercial is determined in large part by the public transport authorities that set minimum quality standards to be provided by operators. Our analysis shows that the authorities awarding the contracts in some cases affect market organization significantly depending on how they make use of this power. Furthermore, market organization differs substantially with respect to the awarding structure and the contractual relationships, thus creating a challenge for operators and authorities in an embryonic market.     

基于价值管理的城市道路交通规划

我国许多大城市道路交通拥挤现象,已给人们的生活带来了极大不便,并严重影响着城市功能的发挥。本文引入价值管理的概念,对城市道路交通方式进行了价值分析和评价,在此基础上提出了切实可行的规划管理措施。