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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <title>Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method</title>
      <link>https://trid.trb.org/View/1839264</link>
      <description><![CDATA[]]></description>
      <pubDate>Tue, 09 Mar 2021 14:32:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/1839264</guid>
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      <title>Detection and recognition of traffic scene objects with deep learning</title>
      <link>https://trid.trb.org/View/1602619</link>
      <description><![CDATA[Recently, with the development of driver assistance systems and autonomous cars, detection and recognition of traffic scene objects based on computer vision become more and more indispensable. On the other hand, the deep learning methods, in particular convolutional neural networks have achieved excellent performance in a variety of computer vision tasks. This thesis mainly presents the contributions to the computer vision and deep learning methods for traffic scene objects detection and recognition. The first approach develops numbers of methods for traffic sign detection and recognition. For traffic sign detection, template matching is applied with new features extended from chain code. Moreover, the region based convolutional neural networks are applied for detecting traffic signs painted on road surface. For traffic sign recognition, convolutional neural networks with a variety of architectures are trained with different training algorithms. The second approach focuses on the detection related to traffic text. A novel license plate detection framework is developed that is able to improve detection performance by simultaneously completing detection and segmentation. Due to the larger number and complex layout of Chinese characters, Chinese traffic text detection faces more challenges than English text detection. Therefore, Chinese traffic texts are detected by applying convolutional neural networks and directed acyclic graph. The final approach develops a method for pedestrian attribute classification. Generally, there are irrelevant elements included in features of convolutional neural networks. In order to improve classification performance, a novel feature selection algorithm is developed to refine features of convolutional neural networks.]]></description>
      <pubDate>Tue, 30 Apr 2019 09:29:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/1602619</guid>
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      <title>Better management of end-of-life vehicles</title>
      <link>https://trid.trb.org/View/1513251</link>
      <description><![CDATA[The report sets out a rationale for modifying the national vehicle registration framework to enable better end-of-life management of vehicles. It proposes two alternatives to the current arrangements: Open Loop involving a tightening of the current arrangements and Closed Loop which would regulate the whole vehicle lifecycle from manufacture to destruction. Both approaches are currently operating in other countries. While Option 1 will place an additional regulatory burden on registered operators who fail to pay their registration fee on time, Option 2 will place a more significant burden on any registered operator who does not maintain the vehicle’s registration for on-road use. The report creates a framework for a subsequent cost benefit analysis to be prepared.]]></description>
      <pubDate>Mon, 21 May 2018 10:55:09 GMT</pubDate>
      <guid>https://trid.trb.org/View/1513251</guid>
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    <item>
      <title>The economics of sub-optimal policies for traffic congestion</title>
      <link>https://trid.trb.org/View/1498286</link>
      <description><![CDATA[]]></description>
      <pubDate>Wed, 24 Jan 2018 10:26:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/1498286</guid>
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    <item>
      <title>Automatic license plate detection using adaptive neuro fuzzy inference system and wavelet packets</title>
      <link>https://trid.trb.org/View/1492280</link>
      <description><![CDATA[]]></description>
      <pubDate>Tue, 19 Dec 2017 10:34:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/1492280</guid>
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    <item>
      <title>High security registration plates in India: laws and practice</title>
      <link>https://trid.trb.org/View/1480497</link>
      <description><![CDATA[]]></description>
      <pubDate>Mon, 21 Aug 2017 09:28:06 GMT</pubDate>
      <guid>https://trid.trb.org/View/1480497</guid>
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    <item>
      <title>Användning av personbilar ägda av juridiska personer: jämförelse av registrerings- och stationeringskommun</title>
      <link>https://trid.trb.org/View/1426597</link>
      <description><![CDATA[There is a demand among Swedish municipalities for vehicle statistics broken down by municipal level. The statistics can be used for estimates of traffic volume or descriptions of the car fleet. Vehicles can, however, be registered in a municipality due to the Swedish Road Traffic Registry but completely or predominantly be located/stationed in another municipality, here referred as stationing municipality. The statistics can then be misleading. This problem is assumed to be greatest for vehicles owned by juridical persons. This study has examined the proportion of the juridical owned passenger cars' total mileage driven in the municipality they are registered in according to the Road Traffic Registry. A short questionnaire was sent in January 2015 to a sample of 2 000 juridical persons who owned a passenger car. The survey, which also was accessible in a web version, also contained questions about stationing municipality (if the car was stationed anywhere else than in the registration municipality) type of car ownership and its use. The response rate was 52 percent.]]></description>
      <pubDate>Mon, 17 Oct 2016 11:59:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/1426597</guid>
    </item>
    <item>
      <title>Evaluation of urban road transport pricing regimes</title>
      <link>https://trid.trb.org/View/1320177</link>
      <description><![CDATA[Congestion is one central problem of inner city traffic as congestion occurs whenever transport demand exceeds road capacity - with congestion costs by time losses, incremental emissions and accidents. As described in literature, road pricing schemes might be efficient if applied properly. However, there are several barriers against urban road pricing, concerning politico-economics, equity, technology and cost. Several pricing schemes are already introduced, i.e. the London Congestion Charge. In large parts of the literature, the scheme is considered a success, as data from London shows that overall city traffic declined by 16% since implementation. However, one of the central limitations of the system is the number plate recognition technology. As the charge does not vary by time-of-day, realized traffic reduction concerns off-peak periods and not peak times. This contribution discusses the London example together with the cases of Stockholm and Milano and uses a data envelopment analysis (DEA) comparative efficiency evaluation scheme.]]></description>
      <pubDate>Thu, 14 Aug 2014 10:16:59 GMT</pubDate>
      <guid>https://trid.trb.org/View/1320177</guid>
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      <title>Point-to-point speed enforcement</title>
      <link>https://trid.trb.org/View/1218564</link>
      <description><![CDATA[This report reviews the use of point-to-point speed enforcement internationally in order to provide principles for better practice for its use in Australia and New Zealand.  The major research activities were undertaken for the preparation of this report included: (1) an extensive review of the international literature; (2) stakeholder consultation with international and domestic organisations.  Evidence from other countries has revealed a number of positive findings including: (i) reductions in average/mean speeds, 85th percentile speeds, the proportion of speeding vehicles and speed variability; (ii) reductions in all crash types, particularly fatal and serious injury crashes; (iii) more homogenised traffic flow and increased traffic capacity resulting from reduced vehicle speed variability and subsequent increased headway; (iv) some evidence of reductions in traffic noise and harmful vehicle emissions; (v) positive attitudes of motorists towards the use of the approach; and (vi) long-term net economic benefits.  While methodological limitations are noted across the majority of the published evaluations, the consistency of positive findings is encouraging.  Stakeholder consultations investigated the extent to which point-to-point speed enforcement has been used throughout the world, the technological characteristics of systems used, operational requirements, as well as legislative and broader speed management issues.  Based on the findings reported from the stakeholder consultations and literature review, a number of recommendations for better practice are suggested in relation to the development and implementation of point-to-point speed enforcement systems in Australia and New Zealand relating to: (i) operational recommendations; (ii) technological recommendations; (iii) legislative recommendations; (iv) public education recommendations; (v) evaluation recommendations; and, (vi) privacy recommendations.]]></description>
      <pubDate>Thu, 01 Nov 2012 14:34:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/1218564</guid>
    </item>
    <item>
      <title>Innovative traffic management solutions: licence plate recognition technology and zone specific parking guidance systems</title>
      <link>https://trid.trb.org/View/1211844</link>
      <description><![CDATA[]]></description>
      <pubDate>Mon, 27 Aug 2012 12:09:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/1211844</guid>
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    <item>
      <title>Transportation data and information technology research</title>
      <link>https://trid.trb.org/View/1211345</link>
      <description><![CDATA[]]></description>
      <pubDate>Sat, 25 Aug 2012 01:27:46 GMT</pubDate>
      <guid>https://trid.trb.org/View/1211345</guid>
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    <item>
      <title>Chipset and match [electronic number plates]</title>
      <link>https://trid.trb.org/View/1211178</link>
      <description><![CDATA[]]></description>
      <pubDate>Sat, 25 Aug 2012 01:15:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/1211178</guid>
    </item>
    <item>
      <title>Success on an e-plate [electronic number plates]</title>
      <link>https://trid.trb.org/View/1211177</link>
      <description><![CDATA[]]></description>
      <pubDate>Sat, 25 Aug 2012 01:15:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/1211177</guid>
    </item>
    <item>
      <title>Automatic license plate recognition (ALPR): emerging trends</title>
      <link>https://trid.trb.org/View/1210868</link>
      <description><![CDATA[]]></description>
      <pubDate>Sat, 25 Aug 2012 01:03:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/1210868</guid>
    </item>
    <item>
      <title>Number plate surveys on urban roads</title>
      <link>https://trid.trb.org/View/1210003</link>
      <description><![CDATA[A number plate survey procedure has been developed as part of a pilot study of travel speed flow relationships on urban roads.  The procedure is described and its accuracy discussed.  The data and experience gained from use of the procedure during the pilot study are formulated into a rational basis for the selection of sampling rates and distances between observer stations (a).]]></description>
      <pubDate>Sat, 25 Aug 2012 00:02:44 GMT</pubDate>
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