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Integrating The Macroscopic And Microscopic Traffic Safety Analysis Using Hierarchical Models
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Book Synopsis Integrating the Macroscopic and Microscopic Traffic Safety Analysis Using Hierarchical Models by : Qing Cai
Download or read book Integrating the Macroscopic and Microscopic Traffic Safety Analysis Using Hierarchical Models written by Qing Cai and published by . This book was released on 2017 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Also, the integrated model provides more valuable insights about the crash occurrence at the two levels by revealing both macro- and micro-level factors. Subsequently, a novel hotspot identification method was suggested, which enables us to detect hotspots for both macro- and micro-levels with comprehensive information from the two levels. It is expected that the proposed integrated model and hotspot identification method can help practitioners implement more reasonable transportation safety plans and more effective engineering treatments to proactively enhance safety.
Book Synopsis Two Level Approach to Safety Planning Incorporating the Highway Safety Manual (HSM) Network Screening by : Mohamed A. Abdel-Aty
Download or read book Two Level Approach to Safety Planning Incorporating the Highway Safety Manual (HSM) Network Screening written by Mohamed A. Abdel-Aty and published by . This book was released on 2014 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compared to microscopic safety studies, macroscopic-focused research is more efficient at integrating zonal-level features into crash prediction models and identifying hot zones. However, macroscopic screening has accuracy limitations. Thus, this study developed a new integrated screening approach to overcome the above-mentioned shortcomings of current screening techniques and to achieve a balance between efforts towards accuracy and efficiency. For conducting macro level safety analyses, the research team faced several challenges. First, using current Traffic Analysis Zones (TAZs) as basic geographic units caused a high percentage of boundary crashes. The research team used regionalization to develop a new study unit: Traffic Safety Analysis Zones (TSAZs) systems. Approximately 10% of boundary crashes have been integrated in new zones after the regionalization but more than 60% of crashes still occur on the boundary of TSAZs. Hence, a nested structure was proposed to estimate safety performance models separately for boundary and interior crashes. This nested structure allows different contributing factors for different crash types, so this model can provide more accurate and predictable results than a single model. In addition, a Bayesian Poisson Lognormal Spatial Error Model (BPLSEM) was adopted for the Safety Performance Function (SPF) analysis. The BPLSEM contains a spatial error term that control for the spatial autocorrelation of crash data. As for the micro level analysis, the research team developed SPFs based on the major function classes of roads in the study area. The research team still used the Full Bayesian Poisson Lognormal models to predict crash frequency but tried four different variable combinations to identify the best model. After identifying hot spot areas at the macro- and microscopic levels, the research team integrated these macroscopic and microscopic screening results. However, this integration task was challenging because of the necessity to (1) combine various SPFs from different scales, areas, and roadway types; (2) determine an appropriate weight for each group; and (3) choose a measurement for the final results. In order to solve the above mentioned problems, this study then developed a new criterion to identify whether a zone has safety issues at the macro- and/or microscopic levels. All TSAZs were classified into twelve categories that included two scale groups (macro or micro) and four safety levels (hot, normal, cold, or no data). Then, the research team defined weights for different scales and roadway types. At the macroscopic level, TSAZs were ranked by their zonal Potential for Safety Improvements (PSIs); at the microscopic level, the calculation of average PSI was more complicated because each TSAZ had several intersections and segments. Both the intersection and segment PSI ranks were averaged. The PSI is used in the Highway Safety Manual (HSM) for network screening but it is the first time that it is used for zonal screening. TSAZs with top 10% PSIs were categorized as “Hot” zones. Finally, the percentile ranks of the PSIs were used in the integration (instead of the original PSIs) because the units of PSI intersections and PSI segments were different. In summary, this study presents an integrated screening method that can be used to overcome the shortcomings of macro- and micro-level approaches. In particular, the results provide a comprehensive perspective on appropriate safety treatments by balancing the accuracy and efficiency of screening. Also, it is recommended that different strategies for each hot zone classification be developed because each category has distinctive traffic safety risks at each of the different levels.
Book Synopsis Modeling Multilevel Data in Traffic Safety by : Hoong Chor Chin
Download or read book Modeling Multilevel Data in Traffic Safety written by Hoong Chor Chin and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Background: In the study of traffic system safety, statistical models have been broadly applied to establish the relationships between the traffic crash occurrence and various risk factors. Most of the existing methods, such as the generalised linear regression models, assume that each observation (e.g. a crash or a vehicle involvement) in the estimation procedure corresponds to an individual situation. Hence, the residuals from the models exhibit independence. Problem: However, this "independence" assumption may often not hold true since multilevel data structures exist extensively because of the data collection and clustering process. Disregarding the possible within-group correlations may lead to production of models with unreliable parameter estimates and statistical inferences. Method: Following a literature review of crash prediction models, this book proposes a 5 T-level hierarchy, viz. (Geographic region level -- Traffic site level -- Traffic crash level -- Driver-vehicle unit level -- Vehicle-occupant level) Time level, to establish a general form of multilevel data structure in traffic safety analysis. To model properly the potential between-group heterogeneity due to the multilevel data structure, a framework of hierarchical models that explicitly specify multilevel structure and correctly yield parameter estimates is employed. Bayesian inference using Markov chain Monte Carlo algorithm is developed to calibrate the proposed hierarchical models. Two Bayesian measures, viz. the Deviance Information Criterion and Cross-Validation Predictive Densities, are adapted to establish the model suitability. Illustrations: The proposed method is illustrated using two case studies in Singapore: 1) a crash-frequency prediction model which takes into account Traffic site level and Time level; 2) a crash-severity prediction model which takes into account Traffic crash level and Driver-vehicle unit level. Conclusion: Comparing the predictive abilities of the proposed models against those of traditional methods, the study demonstrates the importance of accounting for the within-group correlations and illustrates the flexibilities and effectiveness of the Bayesian hierarchical approach in modelling multilevel structure of traffic safety data.
Book Synopsis Integrating Observational and Microscopic Simulation Models for Traffic Safety Analysis by : Usama Elrawy Shahdah
Download or read book Integrating Observational and Microscopic Simulation Models for Traffic Safety Analysis written by Usama Elrawy Shahdah and published by . This book was released on 2014 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: In safety analysis, two questions typically need to be addressed: 1) how to identify unsafe sites for priority intervention? and 2) how to determine the effectiveness of treatments introduced at these and other sites? Two types of approaches have been considered in the literature to provide answers for these questions: (1) observational models based on historical crash data and (2) observed or simulated higher risk vehicle interactions or traffic conflicts. Observational crash-based models are good at predicting higher severity crashes, but they tend to ignore higher risk vehicle interactions that compromise safety, that have not resulted in crashes (e.g. near misses). Proponents of microscopic simulation argue that ignoring these higher risk interactions can severely understate the safety problem at a given site and lead to a misallocation of scarce treatment funds. Another problem with observational crash prediction models is the need for sufficient crash data reported over an extended period of time to provide reliable estimates of “potential” lack of safety. This requirement can be a challenge for certain types of treatment and different sites or locations. Furthermore, observational approaches are not causal in nature, and as such, they fail to provide a sound “behavioural” rationale for “why” certain treatments affect safety. On the other hand, traffic conflicts occur more frequently than crashes and can provide a stronger experimental basis for estimating safety effects on a short-term basis. This is especially important given the rare random nature of crashes for certain traffic conditions. Additionally, they provide a more rational basis for lack of safety than is normally available from crash occurrence data. Basically, through the application of calibrated behavioural simulation, traffic conflicts can be linked to specific driver actions and responses at a given site, more so than conventional reported crashes. As such, they permit a causal underpinning for possible treatment effects and this is important to decision-makers because it underscores why certain treatments act to enhance safety, rather than simply providing an estimate of the treatment effect itself. Notwithstanding the usefulness of conflict-based measures, observed crashes remain the primary verifiable measure for representing failures in the transportation systems. Unfortunately traffic conflicts have not been formally linked to observed crashes, and hence their values as indicators for treatment effect have not been fully explored. This presents a challenge on how best to use both conflicts and observed crashes to better understand where safety is most problematic, where intervention is needed, and how best to resolve specific safety problems? In this thesis, the position is taken that a complete understanding of safety problems at a given site can only emerge from a more inclusive analysis of both observed crashes and traffic conflicts. This is explored by developing two integrated models: (1) An integrated priority ranking model is presented that combines estimates from observational crash prediction with an analysis of simulated traffic conflicts; (2) An integrated treatment model is presented that uses simulated traffic conflicts that are linked statistically to observed crashes to provide estimates of crash modification factor (CMF). The suitability of these integrated models has been evaluated using data for a sample of signalized intersections from Toronto for the period 1999-2006. In the absence of a benchmark (or true) priority ranking outcome, a number of evaluation criteria were considered, and the integrated ranking model was found to yield better results than both conventional observational crash-based models (including empirical Bayesian, potential for safety improvement methods) and conflict-based models (including conflict frequency and rate for different risk thresholds). For treatment effects, the results suggest that CMFs can be estimated reliably from conflicts derived from microsimulation, where the simulation platform has been sufficiently calibrated. The link between crashes and conflicts provides additional inferences concerning treatment effects, in those cases where treatments were not previously implemented (i.e., no after history). Since there is an absence of crash history, the treatment effect is based exclusively on simulated conflicts. Moreover, the integrated model has the added advantage of providing site-specific CMFs instead of applying a constant CMF across all sites considered for a potential treatment.
Book Synopsis Macroscopic Traffic Safety Analysis Based on Trip Generation Characteristics by : Chowdhury Kawsar Arefin Siddiqui
Download or read book Macroscopic Traffic Safety Analysis Based on Trip Generation Characteristics written by Chowdhury Kawsar Arefin Siddiqui and published by . This book was released on 2009 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent research has shown that incorporating roadway safety in transportation planning has been considered one of the active approaches to improve safety. Aggregate level analysis for predicting crash frequencies had been contemplated to be an important step in this process. As seen from the previous studies various categories of predictors at macro level (census blocks, traffic analysis zones, census tracts, wards, counties and states) have been exhausted to find appropriate correlation with crashes. This study contributes to this ongoing macro level road safety research by investigating various trip productions and attractions along with roadway characteristics within traffic analysis zones (TAZs) of four counties in the state of Florida. Crashes occurring in one thousand three hundred and forty-nine TAZs in Hillsborough, Citrus, Pasco, and Hernando counties during the years 2005 and 2006 were examined in this study. Selected counties were representative from both urban and rural environments. To understand the prevalence of various trip attraction and production rates per TAZ the Euclidian distances between the centroid of a TAZ containing a particular crash and the centroid of the ZIP area containing the at fault driver's home address for that particular crash was calculated. It was found that almost all crashes in Hernando and Citrus County for the years 2005-2006 took place in about 27 miles radius centering at the at-fault drivers' home. Also about sixty-two percent of crashes occurred approximately at a distance of between 2 and 10 miles from the homes of drivers who were at fault in those crashes. These results gave an indication that home based trips may be more associated with crashes and later trip related model estimates which were found significant at 95% confidence level complied with this hypothesized idea. Previous aggregate level road safety studies widely addressed negative binomial distribution of crashes. Properties like non-negative integer counts, non-normal distribution, over-dispersion in the data have increased suitability of applying the negative binomial technique and has been selected to build crash prediction models in this research. Four response variables which were aggregated at TAZ-level were total number of crashes, severe (fatal and severe injury) crashes, total crashes during peak hours, and pedestrian and bicycle related crashes. For each response separate models were estimated using four different sets of predictors which are i) various trip variables, ii) total trip production and total trip attraction, iii) road characteristics, and iv) finally considering all predictors into the model. It was found that the total crash model and peak hour crash model were best estimated by the total trip productions and total trip attractions. On the basis of log-likelihoods, deviance value/degree of freedom, and Pearson Chi-square value/degree of freedom, the severe crash model was best fit by the trip related variables only and pedestrian and bicycle related crash model was best fit by the road related variables only. The significant trip related variables in the severe crash models were home-based work attractions, home-based shop attractions, light truck productions, heavy truck productions, and external-internal attractions. Only two variables- sum of roadway segment lengths with 35 mph speed limit and number of intersections per TAZ were found significant for pedestrian and bicycle related crash model developed using road characteristics only. The 1349 TAZs were grouped into three different clusters based on the quartile distribution of the trip generations and were termed as less-tripped, moderately-tripped, and highly-tripped TAZs. It was hypothesized that separate models developed for these clusters would provide a better fit as the clustering process increases the homogeneity within a cluster. The cluster models were re-run using the significant predictors attained from the joint models and were compared with the previous sets of models. However, the differences in the model fits (in terms of Alkaike's Information Criterion values) were not significant. This study points to different approaches when predicting crashes at the zonal level. This research is thought to add to the literature on macro level crash modeling research by considering various trip related data into account as previous studies in zone level safety have not explicitly considered trip data as explanatory covariates.
Book Synopsis Towards Developing an Integrated Microscopic Traffic Simulation Model for Large Road Networks by : Frank Lehmann
Download or read book Towards Developing an Integrated Microscopic Traffic Simulation Model for Large Road Networks written by Frank Lehmann and published by . This book was released on 2018 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traffic jams have become one of the key topics in the 21st century and cause immense losses in productivity, increase CO2 emissions and affect driver stress, travel time predictability and increased wear and tear on vehicles. To test possible countermeasures, optimise existing infrastructure or develop new Intelligent Transport Systems (ITS), traffic has to be modelled. The inherent complexity which is a result of inter- and intra-driver heterogeneity, macroscopic feedback loops, local interactions, multi-modal transport and many more is tackled with simulations. By representing the (longitudinal) dynamics of individual vehicles (“microsimulation”), high model fidelity can be achieved. By aggregating the resulting trajectories, macroscopic phenomena emerge and can be incorporated to answer a wide range of traffic-related questions. Since human drivers vary in their perception of stimuli, preferences and reaction, randomness is inevitably and circumvents the construction of perfectly accurate models. Which microscopic features are needed and how they should be mathematically represented runs like a central thread through this thesis. First, it develops a systematic classification scheme to identify modelling strategies and evaluate advantages and shortcomings of (partly) discrete microsimulations. Because real-world trajectories are continuous in time and space, representing them discretely leads to artefacts which induces an upper precision boundary for all models operating on this level of discretisation. Such model-independent errors will be measured based on empirical, naturalistic and synthetically generated trajectories. It is also evaluated to which extent driver heterogeneity and randomness may be compensated with discrete components to simplify modelling and increase computational efficiency. Based on the gained insights, a new, integrated microscopic model is developed. The second major theme in this thesis are gridded, discrete road topologies (chequerboards, Manhattan layouts) populated with vehicles “hopping” from one location to the next. An extensive literature review summarise existing approaches and it is discussed how these standardised road networks and extremely simplified dynamics are well-suited as testbed for ITS. Based on identified research gaps a Timed Automata-based particle hopping model is developed. The two main tools to achieve the outlined objectives are literature reviews, data analysis and computer simulations. To construct the classification scheme, existing genealogies and typologies for traffic models and dynamical systems in other scientific disciplines were reviewed. Another approach was taken for conducting the literature review of chequerboard models: starting from the prototypical BML model, the citing sources are surveyed in reverse order, the behaviour of relevant models is synthesized and contradictions and gaps critically analysed. To quantify the model-independent error, datasets are sampled, quantised and discretised over a wide range of step sizes. Making use of naturalistic driving data, synthetically generated trajectories and high-quality experimental observations, the highest achievable errors for (partly) discrete microsimulations is measured. The dataset recorded under experimental conditions with a group of homogeneous drivers is reused to identify to quantify driver heterogeneity and find the maximum achievable correlations between car-following stimuli and reactions. In summary, this thesis shows that randomness and heterogeneity in human drivers is significant and exceeds the model-independent discretisation errors for a wide range of quantisation parameters. This justifies representing trajectory features discretely to increase computational efficiency and improve the modelling process. Based on this proposition two new formulations for simplistic and advanced microsimulations are developed. The former is able to reproduce all macroscopic free-flow to congestion phase transitions while the latter integrates lateral and longitudinal dynamics based on statistical microscopic properties. Both approaches fill gaps identified by a systematic literature review.
Book Synopsis Macroscopic Crash Analysis and Its Implications for Transportation Safety Planning by : Chowdhury Kawsar Arefin Siddiqui
Download or read book Macroscopic Crash Analysis and Its Implications for Transportation Safety Planning written by Chowdhury Kawsar Arefin Siddiqui and published by . This book was released on 2012 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metropolitan planning organizations widely use TAZs in developing their long range transportation plans (LRTPs). Therefore, considering the practical application it was concluded that as a geographical unit, TAZs had a relative ascendancy over block group and census tract. Once TAZs were selected as the base spatial unit of the TSP framework, careful inspections on the TAZ delineations were performed. Traffic analysis zones are often delineated by the existing street network. This may result in considerable number of crashes on or near zonal boundaries. While the traditional macro-level crash modeling approach assigns zonal attributes to all crashes that occur within the zonal boundary, this research acknowledged the inaccuracy resulting from relating crashes on or near the boundary of the zone to merely the attributes of that zone. A novel approach was proposed to account for the spatial influence of the neighboring zones on crashes which specifically occur on or near the zonal boundaries. Predictive model for pedestrian crashes per zone were developed using a hierarchical Bayesian framework and utilized separate predictor sets for boundary and interior (non-boundary) crashes. It was found that these models (that account for boundary and interior crashes separately) had better goodness-of-fit measures compared to the models which had no specific consideration for crashes located at/near the zone boundaries. Additionally, the models were able to capture some unique predictors associated explicitly with interior and boundary-related crashes. For example, the variables- 'total roadway length with 35mph posted speed limit' and 'long term parking cost' were statistically not significantly different from zero in the interior crash model but they were significantly different from zero at the 95% level in the boundary crash model. Although an adjacent traffic analysis zones (a single layer) were defined for pedestrian crashes and boundary pedestrian crashes were modeled based on the characteristic factors of these adjacent zones, this was not considered reasonable for bicycle-related crashes as the average roaming area of bicyclists are usually greater than that of pedestrians. For smaller TAZs sometimes it is possible for a bicyclist to cross the entire TAZ. To account for this greater area of coverage, boundary bicycle crashes were modeled based on two layers of adjacent zones. As observed from the goodness-of-fit measures, performances of model considering single layer variables and model considering two layer variables were superior from the models that did not consider layering at all; but these models were comparable. Motor vehicle crashes (total and severe crashes) were classified as 'on-system' and 'off-system' crashes and two sub-models were fitted in order to calibrate the safety performance function for these crashes. On-system and off-system roads refer to two different roadway hierarchies. On-system or state maintained roads typically possess higher speed limit and carries traffic from distant TAZs. Off-system roads are, however, mostly local roads with relatively low speed limits. Due to these distinct characteristics, on-system crashes were modeled with only population and total employment variables of a zone in addition to the roadway and traffic variables; and all other zonal variables were disregarded. For off-system crashes, on contrary, all zonal variables was considered. It was evident by comparing this on- and off-system sub-model-framework to the other candidate models that it provided superior goodness-of-fit for both total and severe crashes. Based on the safety performance functions developed for pedestrian, bicycle, total and severe crashes, the study proposed a novel and complete framework for assessing safety (of these crash types) simultaneously in parallel with the four-step transportation planning process with no need of any additional data requirements from the practitioners' side.
Book Synopsis International Encyclopedia of Transportation by :
Download or read book International Encyclopedia of Transportation written by and published by Elsevier. This book was released on 2021-05-13 with total page 4418 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an increasingly globalised world, despite reductions in costs and time, transportation has become even more important as a facilitator of economic and human interaction; this is reflected in technical advances in transportation systems, increasing interest in how transportation interacts with society and the need to provide novel approaches to understanding its impacts. This has become particularly acute with the impact that Covid-19 has had on transportation across the world, at local, national and international levels. Encyclopedia of Transportation, Seven Volume Set - containing almost 600 articles - brings a cross-cutting and integrated approach to all aspects of transportation from a variety of interdisciplinary fields including engineering, operations research, economics, geography and sociology in order to understand the changes taking place. Emphasising the interaction between these different aspects of research, it offers new solutions to modern-day problems related to transportation. Each of its nine sections is based around familiar themes, but brings together the views of experts from different disciplinary perspectives. Each section is edited by a subject expert who has commissioned articles from a range of authors representing different disciplines, different parts of the world and different social perspectives. The nine sections are structured around the following themes: Transport Modes; Freight Transport and Logistics; Transport Safety and Security; Transport Economics; Traffic Management; Transport Modelling and Data Management; Transport Policy and Planning; Transport Psychology; Sustainability and Health Issues in Transportation. Some articles provide a technical introduction to a topic whilst others provide a bridge between topics or a more future-oriented view of new research areas or challenges. The end result is a reference work that offers researchers and practitioners new approaches, new ways of thinking and novel solutions to problems. All-encompassing and expertly authored, this outstanding reference work will be essential reading for all students and researchers interested in transportation and its global impact in what is a very uncertain world. Provides a forward looking and integrated approach to transportation Updated with future technological impacts, such as self-driving vehicles, cyber-physical systems and big data analytics Includes comprehensive coverage Presents a worldwide approach, including sets of comparative studies and applications
Author :Hessam S. Sarjoughian Publisher :Springer Science & Business Media ISBN 13 :1475735545 Total Pages :420 pages Book Rating :4.4/5 (757 download)
Book Synopsis Discrete Event Modeling and Simulation Technologies by : Hessam S. Sarjoughian
Download or read book Discrete Event Modeling and Simulation Technologies written by Hessam S. Sarjoughian and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1990s the computing industry has witnessed many advances in mobile and enterprise computing. Many of these advances have been made possible by developments in the areas such as modeling, simulation, and artificial intelligence. Within the different areas of enterprise computing - such as manufacturing, health organisation, and commerce - the need for a disciplined, multifaceted, and unified approach to modeling and simulation has become essential. This new book provides a forum for scientists, academics, and professionals to present their latest research findings from the various fields: artificial intelligence, collaborative/distributed computing, modeling, and simulation.
Book Synopsis Transactions of the Society for Computer Simulation by :
Download or read book Transactions of the Society for Computer Simulation written by and published by . This book was released on 1996 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis International Conference on Innovative Computing and Communications by : Deepak Gupta
Download or read book International Conference on Innovative Computing and Communications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-22 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Book Synopsis Service Science, Management, and Engineering: by : Gang Xiong
Download or read book Service Science, Management, and Engineering: written by Gang Xiong and published by Academic Press. This book was released on 2012-04-12 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Service Science, Management, and Engineering presents the latest issues and development in service science. Both theory and applications issues are covered in this book, which integrates a variety of disciplines, including engineering, management, and information systems. These topics are each related to service science from various perspectives, and the book is supported throughout by applications and case studies that showcase best practice and provide insight and guidelines to assist in building successful service systems. Presents the latest research on service science, management and engineering, from both theory and applications perspectives Includes coverage of applications in high-growth sectors, along with real-world frameworks and design techniques Applications and case studies showcase best practices and provide insights and guidelines to those building and managing service systems
Book Synopsis Adaptive Optimal Control by : Robert R. Bitmead
Download or read book Adaptive Optimal Control written by Robert R. Bitmead and published by . This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring connections between adaptive control theory and practice, this book treats the techniques of linear quadratic optimal control and estimation (Kalman filtering), recursive identification, linear systems theory and robust arguments.
Download or read book Transportation Systems written by Bao Liu and published by . This book was released on 1995 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :European Conference of Ministers of Transport Publisher :OECD Publishing ISBN 13 :9282103781 Total Pages :286 pages Book Rating :4.2/5 (821 download)
Book Synopsis Speed Management by : European Conference of Ministers of Transport
Download or read book Speed Management written by European Conference of Ministers of Transport and published by OECD Publishing. This book was released on 2006-10-13 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speeding is the number one road safety problem in a large number of OECD/ECMT countries. It is responsible for around one third of the current, unacceptably high levels of road fatalities. Speeding has an impact not only on accidents but also on the ...
Book Synopsis Model Predictive Control for Integrating Traffic Control Measures by : András Hegyi
Download or read book Model Predictive Control for Integrating Traffic Control Measures written by András Hegyi and published by . This book was released on 2003 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applied Mechanics Reviews written by and published by . This book was released on 1993 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
