山东省高速公路计重收费系统收费广场改造设计

介绍了山东省高速公路计重收费系统收费广场改造的设计背景、设计原则、具体方案及实施效果.     

内蒙古部分高等级公路计重收费

今年10月起，内蒙古对部分高等级收费公路及一级公路实行计重收费，范围包括省际通道，赤通、赤大高速公路，通鲁一级公路、海牙一级公路、海满一级公路、乌巴一级公路。目前，各公路计重收费车道改造工程已经开始。     

京台高速鲁冀主线收费站复式收费改造

在不增加高速公路占地面积的情况下,对京台高速鲁冀收费站收费车道进行了计重复式收费改造。主要对鲁冀主线收费站复式改造的创新进行了介绍。     

高速公路计重收费发展趋势

为了有效地避免高速公路超载现象的产生,必须对货车进行集中计重收费。鉴于此,介绍了计重收费生的背景和现状以及计重收费的概念,重点阐述了高速公路计重收费的发展趋势。     

高速公路计重收费系统研究

计重收费不仅是高速公路还贷的主要收入,而且是控制高速公路超重超载现象的最有效方式,但目前计重收费主要采用依赖人工的半自动收费方式,效率低下。为此,从传统的计重收费系统的调查研究出发,提出了不停车计重收费(ETC)系统。该系统成功完成动态称重、缴费,实现收费站与车辆之间的无线通信,完成车辆的识别及收费工作,在我国具有广阔的发展前景。     

浅析青海省高速公路计重收费的现状、问题与对策

随着高速公路计重收费车道的不断增加,计重收费设备的大量应用,计重收费在政策、技术、产品、管理等方面也出现了一些问题,制约着计重收费的发展,如何应对这些问题,促进计重收费不断完善和发展,是值得探讨的问题.     

浙江省高速公路收费站计重收费土建改造设计体会

1背景介绍2008年,根据全国高速公路计重收费发展的趋势,浙江省拟在全省高速公路实施计重收费系统,从技术角度出发,计重收费系统的设置涉及到两方面问题:1.1新建收费站的计重收费土建预留根据浙江省交通厅浙交[2007]267号文件要求,在建和     

实行计重收费,促进广西高速公路和谐发展

文章通过目前广西高速公路现行收费模式,提出了实行计重收费,改变车辆由人工判别车型的收费方式,克服空车、重车及超载超限车仍按同一标准收费的弊端,同时对实行计重收费模式应注意的问题提出了相关建议。     

基于联网高速公路计重收费数据的应用分析

随着高速公路基础设施建设的快速发展,需要更新目前的运输量统计以达到优化高速公路运输量计算的目的。本文基于联网计重收费数据的完整、可靠性特点,通过对该数据的挖掘,分析其在高速公路建设与管理中各方面的应用前景,较为全面地阐述了联网计重收费数据在高速公路建设和管理中的应用领域、数据应用方法,可为基于联网计重收费数据的高速公路建设与管理提供依据和借鉴。     

公路建设

3月15日零时30分起,昆石高速公路开始全面实行载货类汽车计重收费。据悉,昆石高速公路计重收费历经三年的研究论证、社会听证后,于今年2月10日才正式得到云南省政府的批复。昆石高速公路实施计重收费后将有效控制超限超载车辆,更好地维护旅游大通道的安全、畅通。     

Trails,lanes, or traffic: Valuing bicycle facilities with an adaptive stated preference survey

This study evaluates individual preferences for five different cycling environments by trading off a better facility with a higher travel time against a less attractive facility at a lower travel time. The tradeoff of travel time to amenities of a particular facility informs our understanding of the value attached to different attributes such as bike-lanes, off-road trails, or side-street parking. The facilities considered here are off-road facilities, in-traffic facilities with bike-lane and no on-street parking, in-traffic facilities with a bike-lane and on-street parking, in-traffic facilities with no bike-lane and no on-street parking and in-traffic facilities with no bike-lane but with parking on the side. We find that respondents are willing to travel up to twenty minutes more to switch from an unmarked on-road facility with side parking to an off-road bicycle trail, with smaller changes associated with less dramatic improvements.     

基于工程经济的公共停车场建设滞后原因分析

文章针对公共停车场建设滞后的实际情况,从工程经济角度定量分析了停车场建设与经营困难的原因,并运用工程经济学理论来推测停车场项目投资经济指标值,提出促进社会公共停车场建设发展的相关建议.     

隧道口减光设施对照明的影响研究

近年来,伴随着我国基础设施建设的不断推进,隧道里程不断增多,隧道照明系统的重要性日益突出,因此对隧道洞口驾驶员视觉特性、减光设施的特点及减光效果进行研究,具有重要的意义。本文通过对隧道洞口驾驶员的视觉特性进行研究,分别论述各种洞口减光设施的特点,并以南京扬子江路隧道、富贵山隧道、双龙街立交隧道的检测数据为基础,计算减光设施对洞口亮度的影响,以及隧道内加强照明的亮度需求的降低程度,进一步分析得出采用减光设施对照明设施建设的投资影响以及可节约的照明养护成本等。     

高速公路服务区污水处理信息监控系统方案探究

小型污水处理设施是高速公路服务区配套的污水处理环保设施,由于高速公路服务区远离城市,污水处理设施点多、线长、面广,如沿用传统人力运管方法,受制于管理单位层级多、责任主体多,监管流程复杂且缺乏专业人员等因素,难以保障污水处理设施安全稳定运行。本文针对该问题,分析传统人力监管存在的问题,从系统构成、主要功能方面提出一种服务区污水处理信息监控系统方案。     

Optimization-based study of the location of park-and-ride facilities

Park-and-ride facilities are parking lots located on the periphery of cities to intercept car trips coming from the suburbs and diverting them to a transit system, thus playing a potentially important role in reducing traffic congestion and air pollution in urban areas. In this paper, we present a study carried out to shed light on where to install park-and-ride facilities in the city of Coimbra, central Portugal. Its main component is an optimization model which aims to determine the best possible locations for a given number of park-and-ride facilities under the objective of minimizing car use in the urban areas. The main result of the study is that the introduction of only three park-and-ride facilities could reduce car use in Coimbra's urban areas by 19%, an impact that would be very difficult to achieve through measures such as decreasing bus fares, increasing parking fees and/or increasing bus services.     

A comparative analysis of transportation-based accessibility to mental health services

The demand for mental health services has been growing stronger over the last couple of decades. This indicates the need to study and assess the access to these mental health services especially with a focus on the vulnerable populations having the greatest need. As such, this paper presents a Geographical Information Systems (GIS)-based analysis in order to study and evaluate the accessibility of mental health facilities using the information on the spatial distributions of population and facilities, and regional traffic characteristics. For this purpose, different age group segments are utilized including the total population as well as those aged between 18 and 21, 22 and 49, 50 and 64, and those aged over 65 and 85. Focusing on the State of Florida, spatially detailed accessibility metrics are calculated with regard to healthcare facilities using travel times between population block groups and these critical mental health facilities. These estimates are used to calculate the weighted county accessibility scores for each county. Findings clearly delineate those counties that lack access to mental facilities, especially those in Northwest Florida, a demographically diverse and substantially rural region. This type of analysis can help planners and policy makers develop better strategies in order to provide adequate mental health care options needed in targeted locations.     

Locating new passenger facilities on a transportation network

This paper examines the problem of locating additional passenger facilities on a transportation network to supplement ones that already exist. A distinction is made between “supporting” facilities which operate only in concert with already existing ones and “new” facilities which are self-sufficient and operate independently. It is shown that, when the objective is to maximize the utility of travel times to all users, at least one set of optimal locations for the new facilities exist on the nodes of the network if the utility function for travel times is convex. This result is proven under very general conditions including the assumption of a probabilistic transportation network, i.e. a network where travel times on network branches are random variables. A straightforward algorithm for solving a specific simple case is also provided and the results are illustrated by examples.     

Decomposition of general facility disruption correlations via augmentation of virtual supporting stations

Infrastructure facilities may be subject to probabilistic disruptions that compromise individual facility functionality as well as overall system performance. Disruptions of distributed facilities often exhibit complex spatial correlations, and thus it is difficult to describe them with succinct mathematical models. This paper proposes a new methodological framework for analyzing and modeling facility disruptions with general correlations. This framework first proposes pairwise transformations that unify three probabilistic representations (i.e., based on conditional, marginal, and scenario probabilities) of generally correlated disruption profile among multiple distributed facilities. Then facilities with any of these disruption profile representations can be augmented into an equivalent network structure consisting of additional supporting stations that experience only independent failures. This decomposition scheme largely reduces the complexity associated with system evaluation and optimization. We prove analytical properties of the transformations and the decomposition scheme, and illustrate the proposed methodological framework using a set of numerical case studies and sensitivity analyses. Managerial insights are also drawn.     

Capacitated maximum covering location models: Formulations and solution procedures

This paper presents two formulations and two solution procedures for a capacitated maximum covering location problem. In the first formulation, the problem is presented as a mixed-interger linear programming model which maximizes covered demand. In the second model, the objective function maximizes the weighted covered demand while at the same time minimizing the average distance from the uncovered demands to the located facilities. The second formulation attempts to account for the assignment of the demand which is not “covered” to located facilities which have excess capacity. This assignment is very important, especially for locating emergency service facilities. Two heuristic procedures are proposed to solve these models. These are based on greedy adding technique and Lagrangian relaxation. At each iteration, the demands are allocated to the facilities using an out-of-kilter method. The performance of the solution techniques are compared to the optimal solutions in a variety of test problems.     

A multiobjective hierarchical model for locating public facilities on a transportation network: A goal programming approach

This paper introduces a Multiobjective Hierarchical Model (MOHLM) for locating public facilities on a transportation network. The proposed model combines the multiobjective nature of the location-allocation problem with the hierarchical character of some public service systems, such as health care delivery. The model examines both maximum and total weighted travel time, facility utilization, and total travel time from the master facility to the attached subordinate facilities. An iterative goal programing algorithm is used to solve the problem. An example related to the location of health care facilities in a rural area of Greece is used to illustrate the application of the proposed model.