高速公路收费站计重货车、绿色通道车辆防逃费系统

文章针对高速公路车辆收费管理工作中存在的问题,介绍了计重货车、绿色通道车辆防逃费系统的工作原理及作用,探讨了计重货车、绿色通道车辆防逃费系统的使用成效。     

假冒“绿色通道”车辆识别与管理

通过对假冒"绿色通道"车辆系统整理和详细分析,在促进掌握各类假冒"绿色通道"逃费表现形式同时,了解查获逃费车辆的方法和技术。     

高速公路车辆隐性逃费的原因与建议

隐性偷费逃费行为是指车主利用收费管理漏洞在行驶途中交换、倒卖、藏匿通行卡以达到偷逃通行费目的的行为。文章介绍了高速公路车辆隐性偷费逃费行为的几种常见形式,分析了隐性偷费逃费行为发生的主客观原因,并提出了具体的应对措施及建议。     

计重收费模式下车辆逃费的主要方式及治理对策

计重收费是以收费站现场实际测量的车货总重为依据,对载货类机动车辆计重收取通行费的征收方式。文章对计重收费模式下货运车辆偷逃通行费的主要方式及特点进行了分析,阐述了当前车辆逃费治理工作中存在的困难及建议,提出了治理计重收费模式下货运车辆偷逃通行费的对策。     

基于云边端架构及大数据分析的高速公路稽查系统探讨

文章分析了国内高速公路通行费稽查系统建设和应用现状,探讨了应用云边端架构和大数据技术挖掘车辆通行数据识别逃费车辆、开发高速公路稽查系统的思路和设计方案,同时对稽查工作提出了实践建议,为运营单位开发稽查系统、开展稽查工作提供参考.     

鲜活农产品“绿色通道”的建设与管理

鲜活农产品快捷、顺畅的流通，对促进农村经济发展和增加农民收入以及保障和提高城镇居民的生活质量，都有着极其重要的意义。为此，近年来我国政府积极地建设鲜活农产品流通“绿色通道”，制定特殊的运输政策，以促进鲜活农产品快捷顺畅的流通。但是，目前对鲜活农产品流通“绿色通道”的建设与管理，无论是从认识上，还是从实际运行管理上都存在着一些问题，需要认真思考与探讨，并采取相应的治理对策。     

基于RFID技术的高速公路二义性路径识别系统设计

为满足新时代高速公路的信息化发展需求,使通行费拆分有据可依并有效遏制"倒卡逃费"行为,二义性路径识别管理系统了得到了广泛应用。鉴于此,在分析二义性路径识别管理系统的设计组成及工作原理的基础上,结合贵州省思南至剑河高速公路K0+315.872~K73+215段具体工程实例,阐述了基于RFID技术的高速公路二义性路径识别系统设计,以精确地识别车辆路径。     

基于Hadoop的高速公路联网收费稽查系统

随着广西高速公路的大力建设和发展,高速公路车辆通行记录规模逐渐增大,同时各种逃费现象屡禁不止。文章提出创建基于Hadoop分布式平台的高速公路联网收费稽查系统,结合Hive数据仓库和联机处理方式,采用并行技术快速处理大规模数据,改进现有收费稽查系统的不足。通过实验对比分析,验证了该系统可快速实现对海量车辆信息的多维度、深层次的数据挖掘和统计分析。     

高速公路计重收费货车逃费现象分析及对策

货车计重收费,在高速公路实施以来,出现了一些逃费现象,本文进行了分析,并阐述了相应的措施.     

取消省界收费站背景下收费稽查平台研究与设计

文章针对取消省界收费站后,高速公路收费管理工作面临的单车逃费金额增加、跨省逃费稽查难度加大、偷逃通行费行为加剧等一系列问题,提出一种集稽查、追缴、征信为一体的收费稽查平台功能设计,为运营管理提供智能化的辅助手段,便于新型收费模式下收费管理工作的进一步实施和改善,促进高速公路运营有序健康的发展。     

高速公路车辆偷逃通行费的原因及应对措施

文章结合柳州高速公路运营有限公司收费管理实际,阐述了高速公路车辆偷逃通行费的基本情况,并多角度分析了车辆偷逃通行费的原因,提出了完善管理、强化堵漏、技术革新、法律支持的打击高速公路车辆偷逃通行费行为的措施与办法。     

高速公路堵漏增收工作的现状及对策

堵漏增收工作是收费管理工作的一项主要内容,是促进收费管理工作规范、有序发展的重要保障。文章阐述了高速公路车辆偷逃通行费的主要形式及特点,并从管理角度着手探讨了车辆通行费的堵漏增收对策。     

高速公路车辆偷逃通行费的主要形式及防制措施

文章阐述了高速公路车辆偷逃通行费的主要形式,探讨了车辆偷逃通行费行为的防制措施及建议,为进一步完善征费软、硬件设施提供参考依据。     

高速公路车辆偷逃通行费的特征及其对策

文章介绍了高速公路车辆偷逃通行费常见形式的特征及相应对策,阐述了打击车辆偷逃通行费行为面临的困难,并提出了应对车辆偷逃通行费行为的建议和设想,为构建安全、畅通、和谐的交通提供参考。     

How will we fund our roads? A case of decreasing revenue from electric vehicles

Annual expenditures for transportation infrastructure have recently surpassed the funding available through tax and fee collection. One large source of revenue generation for transportation infrastructure is use fees that are charged through taxes on gasoline both on a federal and state level. A massive adoption of electric vehicles (EVs) in the United States would result in significantly lower gasoline consumption and thus reduce the revenue collected to maintain the U.S. transportation infrastructure. We investigate how different vehicles will change the annual fee collected on a marginal basis. In addition, we assess the effects of adoption of alternative vehicles on revenues using several projections of alternative vehicles adoption, both on a state-by-state basis and at the national level. We find that baseline midsize and compact vehicles such as the Toyota Camry and Honda Civic generate approximately $2500–$4000 in tax revenue over their lifetime. Under the current funding structure, battery-electric vehicles (BEVs) such as the Nissan Leaf generate substantially less at $400–$1300, while plug-in hybrid electric vehicles (PHEVs) such as the Chevrolet Volt generate $1500–$2700. Even in states with high lifetime fees due to fuel taxes, such as California, revenue generation can be upwards of 50% lower than in states with high registration fees such as Colorado. Total annual revenue generation decreases by about $200 million by 2025 as a result of EV adoption in our base case, but in projections with larger adoption of alternative vehicles could lead to revenue generation reductions as large as $900 million by 2025. Potential schemes that charge user fees on alternative fuel vehicles to overcome the decrease in revenue include a flat annual registration fee at 0.6% of the vehicle’s manufacturer suggested retail price (MSRP) or 2

per mile fee.     

Abatement cost functions for incentive-based policies in the automobile market

This paper compares the outcomes of policies that target vehicle holdings with those that target vehicle usage using data from the US Consumer Expenditure Survey. Results show that a higher price of gasoline shifts vehicle holdings towards more fuel efficient vehicles and reduces the annual demand for miles, whereas imposing a fee on vehicles or a feebate program only shifts vehicle holdings towards more fuel efficient vehicles and has little to no impact on the demand for miles. While it is relatively expensive to reduce CO₂ emission through incentive-based policies, achieving any abatement level is more expensive through imposing fees on vehicles than gasoline taxes. In addition, the maximum amount of abatement attainable by a feebate program is relatively small and the same amount could be achieved by imposing a $0.73 gasoline tax per gallon.     

A framework to evaluate policy options for supporting electric vehicles in urban freight transport

Electric vehicles (EVs) are considered as a feasible alternative to traditional vehicles. Few studies have addressed the impacts of policies supporting EVs in urban freight transport. To cast light on this topic, we established a framework combining an optimization model with economic analysis to determine the optimal behavior of an individual delivery service provider company and social impacts (e.g., externalities and welfare) in response to policies designed to support EVs, such as purchase subsidy, limited access (zone fee) to congestion/low-emission zones with exemptions for EVs, and vehicle taxes with exemptions for EVs. Numerical experiments showed that the zone fee can increase the company’s total logistics costs but improve the social welfare. It greatly reduced the external cost inside the congestion/low-emission zone with a high population, dense pollution, and heavy traffic. The vehicle taxes and subsidy were found to have the same influence on the company and society, although they have different effects with low tax/subsidy rates because their different effects on vehicle routing plans. Finally, we performed a sensitivity analysis. Local factors at the company and city levels (e.g., types of vehicle and transport network) are also important to designing efficient policies for urban logistics that support EVs.