计重收费下主线收费站设计

针对车辆进出收费站速度低、计重收费下货车收费时间长的特性,提出了客货分离收费模式,以绝对交通量为标准,对客货车分别按不同的服务时间计算收费车道数,客货车收费广场前后设置的模式,提高了收费站的通行能力,减少了收费站场的用地。     

Examining the linkages between electronic roadway tolling technologies and road pricing policy objectives

The surge of road pricing projects in the U.S. and around the globe over the past 15 years has been enabled by a variety of new communication and transportation technologies. While all of these technologies increase the efficiency of roadway tolling vis-à-vis manual collection, no “best” configuration has emerged. Rather, optimal configurations depend on the objectives of the tolling effort, such as facility type, geographic scope, desire to price externalities, integration with other operations, and so on. While such policy objectives for road pricing have been examined extensively, little has been written on the explicit links between tolling technology configurations and policy objectives. This paper addresses this gap in the literature through an examination of eight road pricing programs. For each program we evaluate the conduct of the three technical tasks via the nine technology sets in light of six principal policy objectives of road pricing.     

CAN总线智能信号采集模块的设计与实现

介绍了一种基于CAN总线通讯的智能信号采集模块的设计与实现。讨论了系统硬件设计中信号调理模块、通信模块和中心控制模块采用的关键技术。其中双CAN总线结构的冗余设计进一步提高了模块工作的可靠性。最后,介绍了软件设计中CAN通讯及任务调度模块的实现方法。     

Tracking daily travel; Assessing discrepancies between GPS-derived and self-reported travel patterns

Global Positioning Systems (GPS) technologies have been used in conjunction with traditional one- or two-day travel diaries to audit respondent reporting patterns, but we used GPS-based monitoring to conduct the first assessment to our knowledge of travel reporting patterns using a seven-day travel log instrument, which could reduce response burden and provide multiple-day, policy-relevant information for evaluation studies. We found substantial agreement between participant-reported daily travel patterns and GPS-derived patterns among 116 adult residents of a largely low-income and non-white transportation corridor in urbanized Los Angeles in 2011–2013. For all modes, the average difference between daily GPS- and log-derived trip counts was only about 0.39 trips and the average difference between daily GPS- and log-derived walking duration was about −11.8 min. We found that the probability that a day would be associated with agreement or discrepancies between these measurement tools varied by travel mode and participant socio-demographic characteristics. Future research is needed to investigate the potential and limitations of this and other self-report instruments for a larger sample and a wider range of population groups and travel patterns.     

Minimizing CO2e emissions by setting a road toll

The main purpose of this paper is to develop a bi-level pricing model to minimize the CO₂e emissions and the total travel time in a small road network. In the lower level of the model, it is assumed that users of the road network find a dynamic user equilibrium which minimizes the total costs of those in the system. For the higher level of the model, different road toll strategies are applied in order to minimize the CO₂e emissions. The model has been applied to an illustrative example. It shows the effects on traffic flows, revenues, total time and CO₂e emissions for different numbers of servers collecting tolls and different pricing strategies over a morning peak traffic period. The results show that the CO₂e emissions produced can be significantly affected by the number of servers and the type of toll strategy employed. The model is also used to find the best toll strategy when there is a constraint on the revenue that is required to be raised from the toll and how this affects the emissions produced. Further runs compare strategies to minimize the CO₂e emissions with those that minimize total travel time in the road system. In the illustrative example, the results for minimizing CO₂e emissions are shown to be similar to the results obtained from minimizing the total travel time.     

数据挖掘技术在物流决策系统中的应用

介绍了数据挖掘技术的作用、过程 ,针对物流大量的数据 ,提出如何利用数据挖掘技术挖掘出有效的信息帮助做出决策及作用     

多元收费方式下的高速公路收费站车道数优化研究

随着货车比增加和移动支付方式的应用，依据现有《收费公路联网技术要求》计算车道数用到的交通量换算和服务时间已不符合实际，造成车道数计算不准确，易导致车道拥堵或车道资源浪费. 本文围绕车道数优化计算展开研究. 首先分析多元收费方式服务时间及其差异性，提出多元收费方式服务时间计算模型. 考虑车辆跟驰、排队等行为因素，基于 VISSIM 建立收费站通行仿真模型，以车流量、车型比等数据为输入，获取满足设计需求的车道数. 将需求车道数和实际服务时间输入排队模型计算DHV修正值. 利用多项式回归，建立实际DHV值和DHV修正值间的DHV换算模型. 根据实际服务时间和DHV修正值，获得优化车道数. 最后，以典型收费站进行实证分析，表明本文方法可实现车道数的优化计算.     

基于AHP和ANN的不同车型收费系数确定

不同车型收费系数反映了不同车型用户承担收费公路通行费的比价关系,合理的收费系数,应该实现责任和效益的双重公平.在建立影响不同车型收费费率的指标体系前提下,综合考虑定量和定性因素,分别建立了关于道路破坏和级差效益指标的两个BP神经网络,利用层次分析法,构造BP网络的输入和输出样本,通过训练获得稳定的网络结构和权重,然后输入不同车型代表性指标值,确定不同车型的收费系数.实验表明,该方法不仅理论上可行,而且实践上得到了不同车型收费系数的合理取值区间.     

道路交通数据采集技术研究展望

交通数据是交通规划、管理与控制的基础,尤其对智能交通系统的建设和运营具有决定性作用。阐述交通数据采集技术的发展．分析、归类其技术特点,研究和展望新技术在交通数据采集中的应用前景,提出适合我国道路交通特点的交通数据采集技术。     

高速公路动态可拓展收费系统与开发

为提高出口车道通行效率,开发出满足货车计重收费、电子支付等要求,能实现数据实时无线传输、无线网络安全控制、栏杆控制、票据打印等功能的动态可拓展收费系统。该系统可在单车道实现多点动态收费,为今后的高速公路收费模式开辟了全新的思路。