Relevant bibliographies by topics / Advanced Travel Information System

Academic literature on the topic 'Advanced Travel Information System'

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Published: 14 March 2023

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Journal articles on the topic "Advanced Travel Information System"

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Carrese, Filippo, Stefano Carrese, Sergio Maria Patella, Marco Petrelli, and Simone Sportiello. "A Framework for Dynamic Advanced Traveler Information Systems." Future Transportation 1, no. 3 (November 1, 2021): 590–600. http://dx.doi.org/10.3390/futuretransp1030031.

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This paper presents the framework for a dynamic Advanced Traveler Information System (ATIS). The ATIS currently in use provides users with stereotyped travel options, but the set of available modes in a given place and time is not the same for each traveler, and such a personal choice set varies within the context of daily trip chains. The research presented in this paper addressed these limitations by including dynamic features in the proposed system. The activity chain that the user performs as well as the personal mode availabilities are modelled simultaneously to define the logical architecture of an innovative information system. Such a technology was intended to assist travelers in performing their daily trip chaining. In order to provide some insight regarding the efficacy of the proposed procedure, a pilot test was performed using real travel time information. Results have shown that the ATIS proposed in this study might generate a significant reduction in travel times.
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Brown, Steven. "ROMANSE Public Transport Information Systems." Journal of Navigation 50, no. 1 (January 1997): 14–26. http://dx.doi.org/10.1017/s0373463300023547.

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ROMANSE — Road Management System for Europe — is multi-million pound pilot project based in Southampton. It aims to use Advanced Transport Telematics (ATT) to develop the city as a model for transport management systems across Europe. ROMANSE achieves this by providing realtime traffic and travel information to influence travel behaviour, increase the use of public transport, maximize the efficiency of the transport system and provide high-quality information for use in strategic policy decisions.
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Khan, Ata M. "Bayesian predictive travel time methodology for advanced traveller information system." Journal of Advanced Transportation 46, no. 1 (October 4, 2010): 67–79. http://dx.doi.org/10.1002/atr.147.

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Lu, Jiangang, Xuegang Ban, Zhijun Qiu, Fan Yang, and Bin Ran. "Robust Route Guidance Model Based on Advanced Traveler Information Systems." Transportation Research Record: Journal of the Transportation Research Board 1935, no. 1 (January 2005): 1–7. http://dx.doi.org/10.1177/0361198105193500101.

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In this paper a new robust optimization (RO) model is proposed for route guidance based on the advanced traveler information system. The arc travel time is treated as a random variable, and its distribution is estimated from historical data. Traditional stochastic routing models just minimize the expected travel time between the origin and the destination. Such approaches do not account for the fact that travelers often incorporate travel time variability in their decision making. Recently some RO models were proposed to incorporate more statistical information into the models, but these models still ignore much information available from historical travel time data. The probability measurement, time at risk (TaR), is introduced in this paper, and a multiobjective model is built up that allows a trade-off between the expected travel time and the TaR. Thus, the skewness and kurtosis of the arc travel time distribution are taken into consideration; that is important because the travel time distributions of typical arcs show high asymmetry and long tails on the right side as a result of the impact of random incidents and events. This approach is applied in two examples, one of which is a real traffic network.
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Glina, Elyse Marie, and Byeong-Ho Kang. "Conversation System with State Information." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 6 (September 20, 2010): 741–45. http://dx.doi.org/10.20965/jaciii.2010.p0741.

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Most current approaches to conversation system development invoke a complex set of language parsing rules or development tools difficult for novices to handle and are unable to convincingly simulate advanced natural language features such as topic awareness or conversation thread involvement. This study proposes an alternate approach based on the Ripple Down Rules (RDR) algorithm, presently used to enable more effective maintenance of expert systems. This tree-based algorithm enables a conversation system to travel incrementally deeper into a particular topic, then to switch based on context-dependent information to the correct previously discussed topic – resulting in a highly reusable method of developing conversation systems based around a variety of topics.
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Jayan, Akhilesh, and Sasidharan Premakumari Anusha. "Travel Time Prediction under Mixed Traffic Conditions Using RFID and Bluetooth Sensors." Periodica Polytechnica Transportation Engineering 48, no. 3 (December 16, 2019): 276–89. http://dx.doi.org/10.3311/pptr.13779.

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Travel time information is an integral part in various ITS applications such as Advanced Traveler Information System, Advanced Traffic Management Systems etc. Travel time data can be collected manually or by using advanced sensors. In this study, suitability of Bluetooth and RFID (Radio Frequency Identifier) sensors for data collection under mixed traffic conditions as prevailing in India is explored. Reliability analysis was carried out using Cumulative Frequency Diagrams (CFDs) and buffer time index along with evaluation of penetration rate and match rate of RFID and Bluetooth sensors. Further, travel time of cars for a subsequent week was predicted using the travel time data obtained from RFID sensors for the present week as input in ARIMA modeling method. For predicting the travel time of different vehicle categories, relationships were framed between travel time of different vehicle categories and travel time of cars determined from RFID sensors. The stream travel time was then determined considering the travel time of all vehicle categories. The R-Square and MAPE values were used as performance measure for checking the accuracy of the developed models and were closer to one and lower respectively, indicating the suitability of the RFID sensors for travel time prediction under mixed traffic conditions. The developed estimation schemes can be used as part of travel time information applications in real time Intelligent Transportation System (ITS) implementations.
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Lerner, Neil, Richard Huey, Paul Zador, Jeff Harpster, and Doug Duncan. "User Preferences for Information Types in Advanced Traveler Information System Applications." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 17 (October 1998): 1200–1204. http://dx.doi.org/10.1177/154193129804201705.

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This experiment addressed the types of ATIS information travelers prefer to acquire, and how the information influenced route choice. Hypothetical trip scenarios provided information such as primary and alternative routes, time of day, current weather, trip purpose, etc. The participant had a set of from 9 to 16 sealed envelopes for each scenario, labeled as to the type of information inside. The participant opened as many envelopes as desired, in any order, to reach a decision as to what route to take. Participants typically only acquired three items of information, even though there were no constraints on information acquisition. “Incident location” was the most frequently selected, and most often opened first, but “delay” was most often cited as the most important item. Estimated travel times on the primary or alternate route were sought by some participants. Cluster analysis revealed three primary groups of individuals in terms of common information strategies. The findings are interpreted in terms of implications for the design of ATIS messages.
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Song, Bing Yue, Jian Ping Wu, and Yi Man Du. "Study of Travel Time Prediction by Using Online ATIS and Probe Vehicle in Beijing." Applied Mechanics and Materials 253-255 (December 2012): 1627–30. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1627.

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With the rapid development of urban traffic, travel time had become the crucial factor for road-user to make decisions on means of transportation, path finding. Besides, emerging information technology, such as Traffic information technology, GIS (Geographic Information System) technology and etc, that have promoted the tendency that people are inclining to plan personal travel through Dynamic Route Guidance System characterized as travel time prediction according to real-time traffic data. In this paper, it first proposed the factors of selecting the test O-D (original-destination), which travel time will be predicted by GoogleMap, BaiduMap, SogouMap and SOSOMap, for comparison, probe vehicle would run along the route provided by those online ATIS (advanced traveler information system) to check the accuracy of travel time predicted. Finally, it analyzes and assesses the service of travel time prediction of such systems.
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Raj Mehndiratta, Shomik, Michael A. Kemp, Jane E. Lappin, and Eric Nierenberg. "Likely Users of Advanced Traveler Information Systems: Evidence from the Seattle Region." Transportation Research Record: Journal of the Transportation Research Board 1739, no. 1 (January 2000): 15–24. http://dx.doi.org/10.3141/1739-03.

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Findings about the claimed use of and interest in traveler information systems among segments of the general population in the Seattle metropolitan region are reported. The research is based on data collected from a 1997 intelligent transportation system supplement to the Puget Sound Regional Council’s transportation panel travel diary study. In general, interest in traffic information was found to be a function of complex travel behavior, demographics, and factors related to attitudinal and technology interest. It was also found that the potential market for advanced traveler information systems (ATIS) includes several market segments with different needs; each is drawn to ATIS for distinct and varying reasons. First, the so-called control seeker segment includes people who desire greater than average control over their environment. In a traffic information context, that translates to better knowledge of their travel times, especially in congested travel environments. The second segment of interest, dubbed webheads, includes individuals who are very comfortable with high technology, and it is possible that they would be drawn to ATIS at least partially through specific high-technology dissemination media. A third segment is made up of individuals who are less comfortable with (or less interested in) technology and are primarily interested in pretrip information, which they use to make departure time and route choice decisions.
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Balakrishna, Ramachandran, Haris N. Koutsopoulos, Moshe Ben-Akiva, Bruno M. Fernandez Ruiz, and Manish Mehta. "Simulation-Based Evaluation of Advanced Traveler Information Systems." Transportation Research Record: Journal of the Transportation Research Board 1910, no. 1 (January 2005): 90–98. http://dx.doi.org/10.1177/0361198105191000111.

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Traveler information has the potential to reduce travel times and improve their reliability. Studies have verified that driver overreaction from the dissemination of information can be eliminated through prediction-based route guidance that uses short-term forecasts of network state. Critical off-line tests of advanced dynamic traffic assignment–based prediction systems have been limited, since the system being evaluated has also been used as the test bed. This paper outlines a detailed simulation-based laboratory for the objective and independent evaluation of advanced traveler information systems, a laboratory with the flexibility to analyze the impacts of various design parameters and modeling errors on the quality of the generated guidance. MITSIMLab, a system for the evaluation of advanced traffic management systems, is integrated with Dynamic Network Assignment for the Management of Information to Travelers (DynaMIT), a simulation-based decision support system designed to generate prediction-based route guidance. Evaluation criteria and requirements for the closed-loop integration of MITSIMLab and DynaMIT are discussed. Detailed case studies demonstrating the evaluation methodology and sensitivity of DynaMIT's guidance are presented.
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Dissertations / Theses on the topic "Advanced Travel Information System"

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Iqbal, Md Shahadat. "Data Support of Advanced Traveler Information System Considering Connected Vehicle Technology." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3495.

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Traveler information systems play a significant role in most travelers’ daily trips. These systems assist travelers in choosing the best routes to reach their destinations and possibly select suitable departure times and modes for their trips. Connected Vehicle (CV) technologies are now in the pilot program stage. Vehicle-to-Infrastructure (V2I) communications will be an important source of data for traffic agencies. If this data is processed properly, then agencies will be able to better determine traffic conditions, allowing them to take proper countermeasures to remedy transportation system problems under different conditions. This research focuses on developing methods to assess the potential of utilizing CV data to support the traveler information system data collection process. The results from the assessment can be used to establish a timeline indicating when an agency can stop investing, at least partially, in traditional technologies, and instead rely on CV technologies for traveler information system support. This research utilizes real-world vehicle trajectory data collected under the Next Generation Simulation (NGSIM) program and simulation modeling to emulate the use of connected vehicle data to support the traveler information system. NGSIM datasets collected from an arterial segment and a freeway segment are used in this research. Microscopic simulation modeling is also used to generate required trajectory data, allowing further analysis, which is not possible using NGSIM data. The first step is to predict the market penetration of connected vehicles in future years. This estimated market penetration is then used for the evaluation of the effectiveness of CV-based data for travel time and volume estimation, which are two important inputs for the traveler information system. The travel times are estimated at different market penetrations of CV. The quality of the estimation is assessed by investigating the accuracy and reliability with different CV deployment scenarios. The quality of volume estimates is also assessed using the same data with different future scenarios of CV deployment and partial or no detector data. Such assessment supports the identification of a timeline indicating when CV data can be used to support the traveler information system.
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Agafonov, Evgeny. "Fuzzy and multi-resolution data processing for advanced traffic and travel information." Thesis, Nottingham Trent University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271790.

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Xiao, Yan. "Hybrid Approaches to Estimating Freeway Travel Times Using Point Traffic Detector Data." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/356.

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The accurate and reliable estimation of travel time based on point detector data is needed to support Intelligent Transportation System (ITS) applications. It has been found that the quality of travel time estimation is a function of the method used in the estimation and varies for different traffic conditions. In this study, two hybrid on-line travel time estimation models, and their corresponding off-line methods, were developed to achieve better estimation performance under various traffic conditions, including recurrent congestion and incidents. The first model combines the Mid-Point method, which is a speed-based method, with a traffic flow-based method. The second model integrates two speed-based methods: the Mid-Point method and the Minimum Speed method. In both models, the switch between travel time estimation methods is based on the congestion level and queue status automatically identified by clustering analysis. During incident conditions with rapidly changing queue lengths, shock wave analysis-based refinements are applied for on-line estimation to capture the fast queue propagation and recovery. Travel time estimates obtained from existing speed-based methods, traffic flow-based methods, and the models developed were tested using both simulation and real-world data. The results indicate that all tested methods performed at an acceptable level during periods of low congestion. However, their performances vary with an increase in congestion. Comparisons with other estimation methods also show that the developed hybrid models perform well in all cases. Further comparisons between the on-line and off-line travel time estimation methods reveal that off-line methods perform significantly better only during fast-changing congested conditions, such as during incidents. The impacts of major influential factors on the performance of travel time estimation, including data preprocessing procedures, detector errors, detector spacing, frequency of travel time updates to traveler information devices, travel time link length, and posted travel time range, were investigated in this study. The results show that these factors have more significant impacts on the estimation accuracy and reliability under congested conditions than during uncongested conditions. For the incident conditions, the estimation quality improves with the use of a short rolling period for data smoothing, more accurate detector data, and frequent travel time updates.
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Kim, Hoe Kyoung. "Development and evaluation of advanced traveler information system (ATIS) using vehicle-to-vehicle (V2V) communication system." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33828.

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This research develops and evaluates an Advanced Traveler Information System (ATIS) model using a Vehicle-to-Vehicle (V2V) communication system (referred to as the GATIS-V2V model) with the off-the-shelf microscopic simulation model, VISSIM. The GATIS-V2V model is tested on notional small traffic networks (non-signalized and signalized) and a 6X6 typical urban grid network (signalized traffic network). The GATIS-V2V model consists of three key modules: vehicle communication, on-board travel time database management, and a Dynamic Route Guidance System (DRGS). In addition, the system performance has been enhanced by applying three complementary functions: Autonomous Automatic Incident Detection (AAID), a minimum sample size algorithm, and a simple driver behavior model. To select appropriate parameter ranges for the complementary functions a sensitivity analysis has been conducted. The GATIS-V2V performance has been investigated relative to three underlying system parameters: traffic flow, communication radio range, and penetration ratio of participating vehicles. Lastly, the enhanced GATIS-V2V model is compared with the centralized traffic information system. This research found that the enhanced GATIS-V2V model outperforms the basic model in terms of travel time savings and produces more consistent and robust system output under non-recurrent traffic states (i.e., traffic incident) in the simple traffic network. This research also identified that the traffic incident detection time and driver's route choice rule are the most crucial factors influencing the system performance. As expected, as traffic flow and penetration ratio increase, the system becomes more efficient, with non-participating vehicles also benefiting from the re-routing of participating vehicles. The communication radio ranges considered were found not to significantly influence system operations in the studied traffic network. Finally, it is found that the decentralized GATIS-V2V model has similar performance to the centralized model even under low flow, short radio range, and low penetration ratio cases. This implies that a dynamic infrastructure-based traffic information system could replace a fixed infrastructure-based traffic information system, allowing for considerable savings in fixed costs and ready expansion of the system off of the main network corridors.
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Wang, Jinghui. "Multi-modal Energy Consumption Modeling and Eco-routing System Development." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78624.

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A door-to-door trip may involve multiple traffic modes. For example, travelers may drive to a subway station and make a transfer to rail transit; alternatively, people may also start their trips by walking/cycling to a bus/subway station and then take transit in most of the trip. A successful eco-route planning thus should be able to cover multiple traffic modes and offer intermodal routing suggestions. Developing such a system requires to address extensive concerns. The dissertation is a building block of the multi-modal energy-efficient routing system which is being developed and tested in the simulation environment before real applications. Four submodules have been developed in the dissertation as partial fulfillment of the simulation-based system: energy consumption modeling, subway system development, on-road vehicles dynamic eco-routing, and information effect on route choice behavior. Other submodules such as pedestrian/bicycle modeling will be studied in the future. Towards the research goal, the dissertation first develops fuel consumption models for on-road vehicles. Given that gasoline light duty vehicles (LDVs) and electric vehicles were modeled in previous studies, the research effort mainly focuses on heavy duty vehicles (HDVs). Specifically, heavy duty diesel trucks (HDDTs) as well as diesel and hybrid-electric transit buses are modeled. The models are developed based on the Virginia Tech Comprehensive Power-based Fuel consumption Modeling (VT-CPFM) framework. The results demonstrate that the model estimates are highly consistent with field observations as well as the estimates of the Comprehensive Modal Emissions Model (CMEM) and MOtor Vehicle Emissions Simulator (MOVES). It is also found that the optimum fuel economy cruise speed ranges between 32 and 52 km/h for the tested trucks and between 39 and 47 km/h for the tested buses on grades varying from 0% to 8%, which is significantly lower than LDVs (60-80 km/h). The dissertation then models electric train dynamics and energy consumption in support of subway simulation system development and trip energy estimation. The dynamics model varies throttle and brake level with running speed rather than assuming constants as was done by previous studies, and the energy consumption model considers instantaneous energy regeneration. Both models can be easily calibrated using non-engine data and implemented in simulation systems and eco-transit applications. The results of the dynamics modeling demonstrate that the proposed model can adequately capture instantaneous acceleration/deceleration behavior and thus produce realistic train trajectories. The results of the energy consumption modeling demonstrate that the model produces the estimates consistent with the National Transit Database (NTD) results, and is applicable for project-level analysis given its ability in capturing the energy consumption differences associated with train, route and operational characteristics. The most suitable simulation testbed for system development is then identified. The dissertation investigates four state-of-the-art microsimulation models (INTEGRATION, VISSIM, AIMSUM, PARAMICS). Given that the car-following model within a micro-simulator controls longitudinal vehicle motion and thus determines the resulting vehicle trajectories, the research effort mainly focuses on the performance of the built-in car-following models from the energy and environmental perspective. The vehicle specific power (VSP) distributions resulting from each of the car-following models are compared to the field observations. The results demonstrate that the Rakha-Pasumarthy-Adjerid (RPA) model (implemented in the INTEGRATION software) outperforms the Gipps (AIMSUM), Fritzsche (PARAMICS) and Wiedemann (VISSIM) models in generating accurate VSP distributions and fuel consumption and emission estimates. This demonstrates the advantage of the INTEGRATION model over the other three simulation models for energy and environmental analysis. A new eco-routing model, comprehensively considering microscopic characteristics, is then developed, followed by a numerical experiment to test the benefit of the model. With the resulting eco-routing model, an on-road vehicle dynamic eco-routing system is constructed for in-vehicle navigation applications, and tested for different congestion levels. The results of the study demonstrate that the proposed eco-routing model is able to generate reasonable routing suggestions based on real-time information while at the same time differentiate eco-routes between vehicle models. It is also found that the proposed dynamic eco-routing system achieves lower network-wide energy consumption levels compared to the traditional eco-routing and travel time routing at all congestion levels. The results also demonstrate that the conventional fuel savings relative to the travel time routing decrease with the increasing congestion level; however, the electric power savings do not monotonically vary with congestion level. Furthermore, the energy savings relative to the traditional eco-routing are also not monotonically related to congestion level. In addition, network configuration is demonstrated to significantly affect eco-routing benefits. The dissertation finally investigates the potential to influence driver behavior by studying the impact of information on route choice behavior based on a real world experiment. The results of the experiment demonstrate that the effectiveness of information in routing rationality depends upon the traveler's age, preferences, route characteristics, and information type. Specifically, information effect is less evident for elder travelers. Also, the provided information may not be contributing if travelers value other considerations or one route significantly outperforms the others. The results also demonstrate that, when travelers have limited experiences, strict information is more effective than variability information, and that the faster less reliable route is more attractive than the slower more reliable route; yet the difference becomes insignificant with experiences accumulation. The results of the study will be used to enhance system design through considering route choice incentives.
Ph. D.
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Henclewood, Dwayne Anthony. "Real-time estimation of arterial performance measures using a data-driven microscopic traffic simulation technique." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44792.

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Traffic congestion is a one hundred billion dollar problem in the US. The cost of congestion has been trending upward over the last few decades, but has experienced slight decreases in recent years partly due to the impact of congestion reduction strategies. The impact of these strategies is however largely experienced on freeways and not arterials. This discrepancy in impact is partially linked to the lack of real-time, arterial traffic information. Toward this end, this research effort seeks to address the lack of arterial traffic information. To address this dearth of information, this effort developed a methodology to provide accurate estimates of arterial performance measures to transportation facility managers and travelers in real-time. This methodology employs transmitted point sensor data to drive an online, microscopic traffic simulation model. The feasibility of this methodology was examined through a series of experiments that were built upon the successes of the previous, while addressing the necessary limitations. The results from each experiment were encouraging. They successfully demonstrated the method's likely feasibility, and the accuracy with which field estimates of performance measures may be obtained. In addition, the method's results support the viability of a "real-world" implementation of the method. An advanced calibration process was also developed as a means of improving the method's accuracy. This process will in turn serve to inform future calibration efforts as the need for more robust and accurate traffic simulation models are needed. The success of this method provides a template for real-time traffic simulation modeling which is capable of adequately addressing the lack of available arterial traffic information. In providing such information, it is hoped that transportation facility managers and travelers will make more informed decisions regarding more efficient management and usage of the nation's transportation network.
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Roell, Maria. "The use of public participation in the design of effective internet-based advanced traveler information systems." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45954.

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This thesis examines three methods of public participation and their potential application to the design of internet-based Advanced Traveler Information Systems (ATISs). ATISs have the ability to reduce congestion by providing their users with real-time traffic information that can affect their travel decisions to avoid areas of high traffic. This study first uses a website evaluation method to determine a baseline of ATIS website quality. It then uses three forms of public participation, a survey, a future's workshop, and a feedback website to determine user preferences for Georgia's traveler information website, NaviGAtor. The results of the participation are then analyzed for their strengths and weaknesses and their applicability to ATIS development. The study concludes that the feedback website is the most applicable form of participation for ATIS design, followed by surveys that should be used periodically, and future's workshops that should be used rarely.
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Sitabkhan, Murtaza Zoher 1971. "Quantitative evaluation of advanced traveler information system benefits." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50017.

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Blanco, Myra. "Effects of In-Vehicle Information Systems (IVIS) Tasks on the Information Processing Demands of a Commercial Vehicle Operations (CVO) Driver." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/36413.

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This study was performed with two main goals in mind. The first goal was to understand and predict "red-lines" and "yellow-lines" in terms of what the CVO driver can process without hindering the primary task of driving. The second goal was to collect conventional secondary task data for CVO driving performance. An on-the-road experiment was performed with the help of 12 truck drivers. Type of task, presentation format, information density, and age were the independent variables used in the experiment. The 22 dependent measures collected were grouped into the following categories: eye glance measures, longitudinal driving performance, lateral driving performance, secondary task performance, and subjective assessment. The findings of this study strongly suggest that paragraphs should not be used under any circumstance to present information to the driver while the vehicle is in motion. On the other hand, the Graphics with Icons represent the most appropriate format in which driving instructions and information should be presented for IVIS/CVO tasks. In order to avoid a high visual attention demand to the driver due to a secondary task, only simple search tasks with the most important information shall be presented. Although the suggested format, type of task, and information density represent a higher visual attention demand than a conventional secondary task, these characteristics seem to bind a task with a moderate attentional demand. Other combinations of format, type of task, and information density will cause an increase in the driver's attentional demand that will consequently deteriorate their driving performance causing unsafe driving situations.
Master of Science
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Doshi, Siddharth. "Designing a multi-modal traveler information platform for urban transportation." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37167.

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Urban transportation networks are inefficient due to sub-optimal use by travelers. One approach to counter the increase in urban transportation demand is to provide better information to travelers, which would allow them to make better use of the network. Existing traveler information systems do this to a certain extent, but are limited by the data available and the scope of their implementation. These systems are vertically integrated and closed so that using any external elements for analysis, user interfacing etc. is difficult. The effects of such traveler information systems are reviewed via a comparative analysis of case studies available in the literature. It is found that information availability has a definite positive effect, but the social and environmental benefits are difficult to quantify. It is also seen that combining data by integrating systems can lead to additional uses for the same data and result on better quality of service and information. In this thesis, a regional platform for multi-modal traveler information is proposed that would support the development of traveler information systems. The architecture incorporates a central processing and storage module, which acts as an information clearinghouse and supports receiving, managing and sending data to and from multiple sources and interfaces. This setup allows sharing of data for analysis or application development, but with access control. The components are loosely coupled to minimize inter-dependencies. Due to this, the source, analysis, user interface and storage components can be developed independently of each other. To better develop the requirements and understand the challenges of the proposed concept, a limited implementation of the system is designed for the midtown Atlanta region, incorporating multiple data sources and user interfaces. The individual elements of the system are described in detail as is the testing and evaluation of the system.
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Books on the topic "Advanced Travel Information System"

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Chu, Lianyu. Evaluation of automated workzone information system (AWIS) CHIPS (Computerized Highway Information Processing System). Berkeley, Calif: California Center for Innovative Transportation, Institute of Transportation Studies, University of California at Berkeley, 2005.

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Guerra, Tomás. ITS traffic data consolidation system. Phoenix, AZ: ADOT, 2005.

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F, Burkhardt Laura, and Langley Research Center, eds. Advanced information processing system: Local system services. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Shin, Kang G. Study on Advanced Information Processing System. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Inmon, William H. Advanced topics in information engineering. Wellesley, Mass: QED Information Sciences, 1989.

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Corporation, Unisys, ed. ARGIS 4GE: Advanced relational geographic information system. Uxbridge: UNISYS, 1990.

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H, Lala Jaynarayan, and Langley Research Center, eds. Advanced information processing system: Avionics architecture synthesis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Bob, Rupert, United States. Federal Highway Administration. Office of International Programs., United States. Federal Highway Administration. Office of Policy., FHWA International Technology Exchange Program., FHWA International Technology Scanning Program., and American Trade Initiatives Inc, eds. Traveler information systems in Europe. Washington, D.C: U.S. Dept. of Transportation, Federal Highway Administration, Office of International Programs, 2003.

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Center, Langley Research, ed. Advanced information processing system: Hardware technology survey and projections. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1991.

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Richard, Harper, and Langley Research Center, eds. Advanced information processing system: Authentication protocols for network communication. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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Book chapters on the topic "Advanced Travel Information System"

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Yuan, Chen, and Minoru Uehara. "An Optimal Travel Route Recommendation System for Tourists’ First Visit to Japan." In Advanced Information Networking and Applications, 872–82. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15032-7_73.

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Paprzycki, Marcin, Austin Gilbert, and Minor Gordon. "Knowledge Representation in the Agent-Based Travel Support System." In Advances in Information Systems, 232–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36077-8_23.

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Claes, Rutger, and Tom Holvoet. "Weighing Communication Overhead against Travel Time Reduction in Advanced Traffic Information Systems." In Advances in Intelligent and Soft Computing, 21–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19875-5_3.

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Barauskas, Andrius, Agnė Brilingaitė, Linas Bukauskas, Vaida Čeikutė, Alminas Čivilis, and Simonas Šaltenis. "Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing." In New Trends in Database and Information Systems, 61–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85082-1_6.

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AbstractElectric and autonomous mobility will increasingly rely on advanced route planning algorithms. Robust testing of these algorithms is dependent on the availability of large realistic data sets. Such data sets should capture realistic time-varying traffic patterns and corresponding travel-time and energy-use predictions. Ideally, time-varying availability of charging infrastructure and vehicle-specific charging-power curves should be included in the data to support advanced planning.We contribute with a modular testbed architecture including a semi-synthetic data generator that uses a state-of-the-art traffic simulator, real traffic distribution patterns, EV-specific data, and elevation data to generate time-dependent travel-time and energy-use weights in a road-network graph. The experimental study demonstrates that the testbed can reproduce travel-time and energy-use patterns for long-distance trips similar to commercially available services.
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Miller, Eric J. "Transportation Modeling." In Urban Informatics, 911–31. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_47.

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AbstractInformatics are rapidly and radically transforming urban transportation in ways not seen since the introduction of the automobile over a hundred years ago. Near-ubiquitous smartphone usage, pervasive cellular and Wi-Fi connectivity, powerful and cost-effective computing capabilities, advanced GIS software and databases, advanced platforms for managing and scheduling service operations, etc., are combining to enable the introduction of new mobility services and technologies that are increasingly disrupting conventional trip-making behavior and the “rules of the game” in terms of transportation network operations and the regulation of system performance. The implications of these major informatics-driven changes for transportation modeling are equally disruptive and major. These include changes in: travel behavior; transportation system performance; the data available for model development and application; and modeling methods. Each of these broad areas of impact are discussed in this chapter.
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Lawee, D., and F. P. Scappatura. "Computerized-Assisted Travel Information System (CATIS)." In Travel Medicine, 534. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73772-5_122.

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Walrand, Jean. "Route Planning: A." In Probability in Electrical Engineering and Computer Science, 243–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_13.

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AbstractThis chapter is concerned with making successive decisions in the presence of uncertainty. The decisions affect the cost at each step but also the “state” of the system. We start with a simple example: choosing a route with uncertain travel times. We then examine a more general model: controlling a Markov chain.Section 13.1 presents a model of route section when the travel times are random. Section 13.2 shows one formulation where one plans the trip long in advance. Section 13.3 explains how the problem changes if one is able to adjust the route based on real-time information. That section introduces the main ideas of stochastic dynamic programming. Section 13.4 discusses a generalization of the route planning problem: a Markov decision problem. Section 13.5 solves the problem when the horizon is infinite.
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Akbar, Khandakar Ashrafi, Yigong Wang, Md Shihabul Islam, Anoop Singhal, Latifur Khan, and Bhavani Thuraisingham. "Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces." In Information Systems Security, 3–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92571-0_1.

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Di Francescomarino, Chiara, Chiara Ghidini, Sergio Tessaris, and Itzel Vázquez Sandoval. "Completing Workflow Traces Using Action Languages." In Advanced Information Systems Engineering, 314–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19069-3_20.

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Brzhesovsky, A. V., V. V. Filchakov, and V. I. Zhakov. "An Intelligent System for Distributed System Software Design." In Advanced Information Processing, 60–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-93464-3_6.

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Conference papers on the topic "Advanced Travel Information System"

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Maki, Yusaku, Satoshi Gondo, Tomoo Inoue, and Ken-Ichi Okada. "Travel Agency Desk Support System Using Interest Degree." In 2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2015. http://dx.doi.org/10.1109/aina.2015.283.

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Ishino, Aya, Hidetsugu Nanba, and Toshiyuki Takezawa. "Construction of a System for Providing Travel Information along Hiroden Streetcar Lines." In 2012 IIAI International Conference on Advanced Applied Informatics (IIAIAAI). IEEE, 2012. http://dx.doi.org/10.1109/iiai-aai.2012.30.

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Campbell, Patrick A., John R. Junger, Joseph P. Havlicek, Alan R. Stevenson, and Ronald D. Barnes. "Pathfinder: Oklahoma's advanced traveler information system." In 2011 14th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6083009.

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Ushio, Soichiro, Yuka Ito, Kazunori Okada, Tomoki Kitahara, Hidenori Tsuji, Satoko Moriguchi, Masahiko Narita, and Yuka Kato. "The Digital Travel Diary System Using the Network Service Platform." In 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA). IEEE, 2011. http://dx.doi.org/10.1109/waina.2011.110.

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Zhang, Xiaobo, Liangjie Yu, Yong Wang, Guangqing Xue, and Yanbo Xu. "Intelligent travel and parking guidance system based on Internet of vehicle." In 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2017. http://dx.doi.org/10.1109/iaeac.2017.8054500.

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Kumar, Rohit, and David A. Castanon. "Advanced traveler information system with communication constraints." In 2011 American Control Conference. IEEE, 2011. http://dx.doi.org/10.1109/acc.2011.5991547.

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Gao, Gengyong, and Chunqin Zhang. "Influencing Factors of Travel Route Choice in Advanced Transportation Information Service System Using Mixed Logit Model." In 2016 5th International Conference on Civil, Architectural and Hydraulic Engineering (ICCAHE 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iccahe-16.2016.68.

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Xiao, Shan. "Optimal travel path planning and real time forecast system based on ant colony algorithm." In 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2017. http://dx.doi.org/10.1109/iaeac.2017.8054413.

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Pei, Jiaming, Jinhai Li, Han zhang, Bin Zhou, Mingyue Gao, and Quy Dat. "A recommendation algorithm about choosing travel means for urban residents in intelligent traffic system." In 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2021. http://dx.doi.org/10.1109/iaeac50856.2021.9390926.

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Rossit, D. G., S. Nesmachnow, and J. Toutouh. "Multiobjective design of sustainable public transportation systems." In 1st International Workshop on Advanced Information and Computation Technologies and Systems 2020. Crossref, 2021. http://dx.doi.org/10.47350/aicts.2020.18.

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The design of the bus network is a complex problem in modern cities, since different conflicting objectives have to be considered, from both the perspective of bus companies and the citizens. This article presents a multiobjective model for designing a sustainable public transportation network that simultaneously optimizes the covered travel demands by passengers, the total travel time, and the generated pollution. The proposed model is solved using exact weighted sum and a heuristic procedure based on the standard shortest path problem. Preliminary tests were performed in small real-world instances of Montevideo, Uruguay. Experiments allowed obtaining a set of compromising solutions that in turn allow exploring different trade-off among the optimization criteria. The proposed heuristic was competitive, being able to find a good compromising solution in short computing times.
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Reports on the topic "Advanced Travel Information System"

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Guewa, John R., Steven M. Gallo, Jeannette G. Neal, and Matt S. Stringer. Advanced Intelligence Information System Hyper Toolkit. Fort Belvoir, VA: Defense Technical Information Center, February 1998. http://dx.doi.org/10.21236/ada341295.

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Yu, Shu-Ling, and Jon Fricker. A Highway Travel Information System: Forecasting and Publicizing Delays in the Indiana State Highway Network. West Lafayette, IN: Purdue University, 2004. http://dx.doi.org/10.5703/1288284313126.

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Chenzoff, Andrew P., Debra C. Evans, Reid P. Joyce, and J. T. Roth. Man-Machine Interface Concepts for an Advanced Integrated Maintenance Information System. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada172905.

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Madanat, Samer, and Nitin Jain. Modeling Driver's Route Choice Behavior Under the Influence of Advanced Traveler Information Systems (Vol. 2: Vol. 1: 96/10). West Lafayette, IN: Purdue University, 1997. http://dx.doi.org/10.5703/1288284313272.

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Meyer, Ryan M., Jamie B. Coble, Pradeep Ramuhalli, and Leonard J. Bond. Advanced Instrumentation, Information, and Control System Technologies: Nondestructive Examination Technologies - FY11 Report. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1042559.

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Bruce P. Hallbert, J. J. Persensky, Carol Smidts, Tunc Aldemir, and Joseph Naser. Report from the Light Water Reactor Sustainability Workshop on Advanced Instrumentation, Information, and Control Systems and Human-System Interface Technologies. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/974785.

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Kress, Marin, Patricia DiJoseph, Patrick Donohue, and Kenneth Mitchell. Automatic Identification System Analysis Package user guide. Engineer Research and Development Center (U.S.), July 2022. http://dx.doi.org/10.21079/11681/44783.

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The Automatic Identification System Analysis Package (AISAP) enables acquisition, statistical analysis, and visualization of Automatic Identification System (AIS) data from historic vessel position reports. The web-based AISAP software allows the users to choose which data they want to examine for a specific geographic area, time period, and vessel type(s). Built-in features provide vessel characteristics, arrival and departure information within a geofenced area, vessel travel time between two locations, vessel track line plots, and relative density plots of AIS data reports. AISAP accesses the Nationwide Automatic Identification System database hosted by the United States Coast Guard. This user manual provides training exercises for users to follow to familiarize themselves with AISAP procedures and workflows. These training exercises also provide examples of AISAP products.
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Mathew, Sonu, and Srinivas S. Pulugurtha. Effect of Weather Events on Travel Time Reliability and Crash Occurrence. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2035.

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The magnitude of the effect of adverse weather conditions on road operational performance varies with the type of weather condition and the road characteristics of the road links and adjacent links. Therefore, the relationship between weather and traffic is always a concern to traffic engineers and planners, and they have extensively explored ways to integrate weather information into transportation systems. Understanding the influence of weather on operational performance and safety helps traffic engineers and planners to proactively plan and manage transportation systems. The main objective of this research is to evaluate the effect of adverse weather conditions on travel time reliability and crash occurrence, by severity, using weather data, road data, travel time data, and crash data for North Carolina. The methodology and results from this research are useful for transportation system managers and planners to manage the traffic and improve safety under different weather conditions. They also help improve the functionality of weather-responsive management strategies like variable signs to indicate the change in reliability and safety under rainfall and low visibility conditions.
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Phillips, Donald A., Yitzhak Spiegel, and Howard Ferris. Optimizing nematode management by defining natural chemical bases of behavior. United States Department of Agriculture, November 2006. http://dx.doi.org/10.32747/2006.7587234.bard.

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This project was based on the hypothesis that nematodes interacting with plants as either parasites or beneficial saprophytes are attracted to their host by natural products. This concept was supported by numerous observations that parasitic nematodes are attracted to root exudates. Our overall goal was to identify nematode sensory compounds from root exudates and to use that information for reducing nematicide applications. We applied skills of the investigators to achieve three specific objectives: 1) Identify nematode behavioral cues (e.g., attractants or repellents) in root exudates; 2) Identify new natural nematicidal compounds; and 3) Combine a natural attractant and a nematicide into a nematode trap. Because saprophytic nematodes benefit plants by mineralizing organic matter, we sought compounds attractive primarily to parasitic nematodes. The project was constructed on several complementary foundations. First, data from Dr. Spiegel’s lab showed that under aseptic conditions Ditylenchus dipsaci, a parasite on onion, is attracted to certain fractions of onion root exudates. Second, PI Phillips had a sizeable collection of natural plant products he had identified from previous work on Rhizobium-legume interactions, which could be tested “off the shelf”. Third, Dr. Ferris had access to aseptic and natural populations of various saprophytic and parasitic nematodes. The project focused on five nematode species: D.dipsaci, Heterodera avenae, and Tylenchulussemipenetransat ARO, and Meloidogyne javanicand Caenorhabditis elegans at UCD. Ten pure plant compounds, mostly flavonoids, were tested on the various nematode species using six different assay systems. Results obtained with assorted test systems and by various scientists in the same test systems were essentially irreproducible. Many convincing, Many convincing, i.e. statistically significant, results in one system or with one investigator could not be repeated with other assays or different people. A recent report from others found that these compounds, plus another 30, were inactive as attractants in three additional parasitic nematode species (Wuyts et al. Nematology 8:89- 101, 2006). Assays designed to test the hypothesis that several compounds together are required to attract nematodes have thus far failed to find a reproducibly active combination. In contrast to results using pure plant compounds, complex unfractionated exudates from aseptic onion root reproducibly attracted D. dipsaci in both the ARO and UCD labs. Onion root exudate collection, separation into HPLC fractions, assays using D. dipsaci and MS-MS experiments proceeded collaboratively between ARO and UCD without any definitive identification of an active compound. The final active fraction contained two major molecules and traces of several other compounds. In the end, analytical studies were limited by the amount of onion root exudate and the complexity of the purification process. These tests showed that aseptic plant roots release attractant molecules, but whether nematodes influence that release, as insects trigger release of attractants from plants, is unknown. Related experiments showed that the saprophyte C. elegans stimulates its prey, Pseudomonas bacteria, to increase production of 2, 4-diacetylphloroglucinol (DAPG) a compound that promotes amino acid exudation by plant roots. It is thus possible that saprophytic nematodes are attracted primarily to their bacterial or fungal prey and secondarily to effects of those microorganisms on root exudation. These observations offer promising avenues for understanding root-zone interactions, but no direct routes to controlling nematodes in agriculture were evident. Extracts from two plant sources, Chrysanthemum coronarium and Sequoia sempervirens, showed nematicidal activity at ARO and UCD, respectively. Attempts to purify an active compound from S. sempervirens failed, but preliminary results from C. coronarium are judged to form a potential basis for further work at ARO. These results highlight the problems of studying complex movement patterns in sentient organisms like nematodes and the issues associated with natural product isolation from complex mixtures. Those two difficulties combined with complications now associated with obtaining US visas, slowed and ultimately limited progress on this project. As a result, US investigators expended only 65% of the $207,400 originally planned for this project. The Israeli side of the project advanced more directly toward its scientific goals and lists its expenditures in the customary financial report.
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Kennedy, Alan, Jonathon Brame, Taylor Rycroft, Matthew Wood, Valerie Zemba, Charles Weiss, Matthew Hull, Cary Hill, Charles Geraci, and Igor Linkov. A definition and categorization system for advanced materials : the foundation for risk-informed environmental health and safety testing. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41803.

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Novel materials with unique or enhanced properties relative to conventional materials are being developed at an increasing rate. These materials are often referred to as advanced materials (AdMs) and they enable technological innovations that can benefit society. Despite their benefits, however, the unique characteristics of many AdMs, including many nanomaterials, are poorly understood and may pose environmental safety and occupational health (ESOH) risks that are not readily determined by traditional risk assessment methods. To assess these risks while keeping up with the pace of development, technology developers and risk assessors frequently employ risk-screening methods that depend on a clear definition for the materials that are to be assessed (e.g., engineered nanomaterial) as well as a method for binning materials into categories for ESOH risk prioritization. In this study, we aim to establish a practitioner-driven definition for AdMs and a practitioner-validated framework for categorizing AdMs into conceptual groupings based on material characteristics. The definition and categorization framework established here serve as a first step in determining if and when there is a need for specific ESOH and regulatory screening for an AdM as well as the type and extent of risk-related information that should be collected or generated for AdMs and AdM-enabled technologies.
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