Academic literature on the topic 'Car-following'

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Journal articles on the topic "Car-following"

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Salmon, Vincent. "Safe Car Following." SIAM Review 29, no. 3 (September 1987): 470. http://dx.doi.org/10.1137/1029081.

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Ranney, Thomas A. "Psychological factors that influence car-following and car-following model development." Transportation Research Part F: Traffic Psychology and Behaviour 2, no. 4 (December 1999): 213–19. http://dx.doi.org/10.1016/s1369-8478(00)00010-3.

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Mika, Péter. "Adaptive Car Following Model." Strojnícky casopis – Journal of Mechanical Engineering 68, no. 3 (November 1, 2018): 281–88. http://dx.doi.org/10.2478/scjme-2018-0041.

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AbstractThe vehicle dynamics was a very lot developed in the last twenty years. There is a huge gap in the different vehicle models in this field. Researchers need accurate the car following models because of it. There are several mathematical model, which describe the dynamics and the motion of individual vehicles. This models based on a desired velocity, which is kept by the following vehicle and even small gaps will not induce braking reactions. So this behaviour is not realistic.
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Wang, Yanbing, Maria Laura Delle Monache, and Daniel B. Work. "Identifiability of car-following dynamics." Physica D: Nonlinear Phenomena 430 (February 2022): 133090. http://dx.doi.org/10.1016/j.physd.2021.133090.

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Deng, Hui, and H. Michael Zhang. "Driver Anticipation in Car Following." Transportation Research Record: Journal of the Transportation Research Board 2316, no. 1 (January 2012): 31–37. http://dx.doi.org/10.3141/2316-04.

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Panwai, Sakda, and Hussein Dia. "Neural Agent Car-Following Models." IEEE Transactions on Intelligent Transportation Systems 8, no. 1 (March 2007): 60–70. http://dx.doi.org/10.1109/tits.2006.884616.

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Ma, Dongfang, Yueyi Han, and Sheng Jin. "Solid angle car following model." Chinese Physics B 29, no. 6 (June 2020): 060504. http://dx.doi.org/10.1088/1674-1056/ab862c.

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Ossen, Saskia, Serge P. Hoogendoorn, and Ben G. H. Gorte. "Interdriver Differences in Car-Following." Transportation Research Record: Journal of the Transportation Research Board 1965, no. 1 (January 2006): 121–29. http://dx.doi.org/10.1177/0361198106196500113.

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Brackstone, Mark, and Mike McDonald. "Car-following: a historical review." Transportation Research Part F: Traffic Psychology and Behaviour 2, no. 4 (December 1999): 181–96. http://dx.doi.org/10.1016/s1369-8478(00)00005-x.

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Kendziorra, Andreas, Peter Wagner, and Tomer Toledo. "A Stochastic Car Following Model." Transportation Research Procedia 15 (2016): 198–207. http://dx.doi.org/10.1016/j.trpro.2016.06.017.

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Dissertations / Theses on the topic "Car-following"

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Subramanian, Hariharan. "Estimation of car-following models." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10660.

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Wagner, Peter. "Analyzing fluctuations in car-following." Elsevier, 2012. https://publish.fid-move.qucosa.de/id/qucosa%3A33931.

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Many car-following models predict a stable car-following behavior with a very small fluctuation around an equilibrium value g* of the net headway g with zero speed-difference Δv between the following and the lead vehicle. However, it is well-known and additionally demonstrated by data in this paper, that the fluctuations are much larger than these models predict. Typically, the fluctuation in speed difference is around ±2m/s, while the fluctuation in the net time headway T=g/v can be as big as one or even two seconds, which is as large as the mean time headway itself. By analyzing data from loop detectors as well as data from vehicle trajectories, evidence is provided that this randomness is not due to driver heterogeneity, but can be attributed to an internal stochasticity of the driver itself. A final model-based analysis supports the hypothesis, that the preferred headway of the driver is the parameter that is not kept constant but fluctuates strongly, thus causing the even macroscopically observable randomness in traffic flow.
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Nerem, Sebastian. "Vehicle Weight in Gipps' Car-Following Model." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for bygg, anlegg og transport, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-21880.

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Car-following models are mathematical models, which describe the situation where vehicles drive behind each other on a single lane road section with no overtaking possibilities. The purpose of the models is to estimate how a vehicle reacts to the behavior of the vehicle ahead. A weakness in these models is that they do not take the weight of each vehicle into account. It can however be shown that a vehicle?s weight affects its driving behavior.The purpose of this master?s thesis is to investigate the ability of Gipps? car-following model to reproduce differences in driving behavior caused by differences in vehicles? weight. A modified version of the model where weight is included as a parameter is to be estimated and compared to the original model and field data.The method used was to make a Matlab script which simulates vehicle driving on a road section with Gipps? model. The model results were compared to data collected from a point detector equipped with Weigh-in-motion technology. Time-gap distributions were chosen as the measure against which the models were compared.In the estimated modified model the vehicles are assigned a gross weight, which is picked from an inputted weight distribution. The deceleration parameters of the vehicles are then varied according to vehicle weight.The conclusion of the study is that the original Gipps' model can be calibrated to produce accurate results in uncongested flow. However several vehicle types would need to be defined in order for this to hold for all vehicles. A modified version of the model where vehicle weight is included as a parameter rather than separating vehicles according to type, produced accurate time-gap distributions for all vehicles, with a lower number of input parameters than the original model.However there are aspects of the driving behavior and other traffic situation for which the modified model is not compared. The areas of application of this modified model are also limited today because it requires detailed data on the vehicle weight distribution, which is not widely available and of poor quality.
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Jamison, Sharon Linda. "Chaotic behaviour in looped car following models." Thesis, University of Ulster, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442372.

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Holland, Edward N. "Continuum and car-following models of road traffic." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266303.

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Appiah, Joseph. "Modelling and simulation of car following driving behaviour." Thesis, Edinburgh Napier University, 2018. http://researchrepository.napier.ac.uk/Output/1253614.

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Driver behaviour has become an important aspect of transport research and over the years a considerable number of car following models have been developed. However, many of these models do not accurately simulate actual driving behaviour due to a lack of suitable qualitative and quantitative data. Moreover, the inclusion of socioeconomic variables in the existing models to ascertain the effect on car following behaviour is lacking. This research underlines the need to further investigate driving behaviour and car following models and to develop techniques to provide a better understanding of driver-vehicle interactions during car following. It investigates data collection techniques and develop better techniques to enhance and improve the collection of microscopic driver behaviour and traffic flow data. This study developed a novel data collection technique which involved instrumenting a private vehicle with front and rear advanced radar sensors, both forward and rear facing video-audio recorders connected to GPS based time series speed and distance measurement devices, an in-vehicle computer logging vehicle speed and a CAN monitoring interface user program to provide real time monitoring and display of data. This system has been utilised to collect a more enhanced and reliable microscopic driver behaviour data in three consecutive vehicles movements which represents an improvement from previously used systems. Three different versions of the GHR car following model were produced for: car following car, truck following car and car following truck. Further analysis of the GHR model showed that in the case of car following car, car drivers responses to the lead car are more obviously stronger than in the case of truck following a car. A distance-based car following model and distance-based two-leader car following model that predict the safe following distance of following vehicles were developed to provide a better understanding of driver behaviour. An extension of these models to include gender, corridor (road) type and vehicle occupancy showed evidence of statistical significance of these variables on driver behaviour. A bus following model that predicts the “following distance” also has been calibrated to describe the interactions between a bus and a car within urban-rural driving conditions. In addition, data analysis showed that drivers were inconsistent with their driving behaviour and that there was variability in driving behaviour across the drivers observed in keeping a safe or desired following distance. This study provides a platform for a number of future research agendas including data collection techniques for collection of driver behaviour data; evaluation of different ITS technologies; impact assessment of ACC on driver safety and improvement of traffic microscopic simulation tools in order to strengthen their ability to simulate realistic transport problems for efficient and effective transportation systems.
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Mellodge, Patricia. "Feedback Control for a Path Following Robotic Car." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/32100.

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This thesis describes the current state of development of the Flexible Low-cost Automated Scaled Highway (FLASH) laboratory at the Virginia Tech Transportation Institute (VTTI). The FLASH lab and the scale model cars contained therein provide a testbed for the small scale development stage of intelligent transportation systems (ITS). In addition, the FLASH lab serves as a home to the prototype display being developed for an educational museum exhibit. This thesis also gives details of the path following lateral controller implemented on the FLASH car. The controller was developed using the kinematic model for a wheeled robot. The global model is converted into the path coordinate model so that only local variables are needed. then the path coordinate model is converted into chained form and a controller is given to perform path following. The path coordinate model introduces a new parameter to the system: the curvature of the path. Thus, it is necessary to provide the path's curvature value to the controller. Because of the environment in which the car is operating, the curvature values are known a priori. Several online methods for determining the curvature are developed. A MATLAB simulation environment was created with which to test the above algorithms. The simulation uses the kinematic model to show the car's behavior and implements the sensors and controller as closely as possible to the actual system. The implementation of the lateral controller in hardware is discussed. The vehicle platform is described and the harware and software architecture detailed. The car described is capable of operating manually and autonomously. In autonomous mode, several sensors are utilized including: infrared, magnetic, ultrasound, and image based technology. The operation of each sensor type is described and the information received by the processor from each is discussed.
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Pasumarthy, Venkata Siva Praveen. "Formulations, Issues and Comparison of Car-Following Models." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/41129.

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Microscopic simulation software use car-following models to capture the interaction of a vehicle and the preceding vehicle traveling in the same lane. In the literature, much research has been carried out in the field of car-following and traffic stream modeling. Microscopic car-following models have been characterized by using the relationship between a vehicleâ s desired speed and the distance headway (h) between the lead and follower vehicles. On the other hand, macroscopic traffic stream models describe the motion of a traffic stream by approximating for the flow of a continuous compressible fluid. This research work develops and compares three different formulations of car-following models â speed formulation, molecular acceleration, and fluid acceleration formulation. First, four state-of-the-art car-following models namely, Van Aerde, Greenshields, Greenberg and Pipes models, are selected for developing the three aforementioned formulations. Then a comprehensive car-following behavior encompassing steady-state conditions and two constraints â acceleration and collision avoidance â is presented. Specifically, the variable power vehicle dynamics model proposed by Rakha and Lucic (2002) is utilized for the acceleration constraint. Subsequently, the thesis describes the issues associated with car-following formulations. Recognizing that many different traffic flow conditions exist, three distinct scenarios are selected for comparison purposes. The results demonstrate that the speed formulation ensures that vehicles typically revert to steady-state conditions when vehicles experience a perturbation from steady-state conditions. On the other hand, both acceleration formulations are unable to converge to steady-state conditions when the system experiences a perturbation from a steady-state. The thesis also attempts to address the question of capacity drop associated with vehicles accelerating from congested conditions. Specifically, the capacity drop proposition is analyzed for the case of a backward recovery (typical of a signalized intersection) and stationary shockwave (typical of a capacity drop on a freeway). In the case of the backward recovery shockwave, the acceleration constraint results in a temporally and spatially confined capacity drop as vehicles accelerate to their desired steady-state speed. This temporally and spatially confined capacity drop results in what is typically termed the start loss of a signalized phase. Subsequently, vehicles attain steady-state conditions, in the case of the speed and molecular acceleration formulations, at the traffic signal stop bar after the initial five vehicle departures. The analysis also demonstrates that after attaining steady-state conditions the capacity may drop for the initial vehicle departures as a result of traffic stream dispersion. This traffic dispersion capacity drop increases as vehicles travel further downstream. Alternatively, in the case of a stationary bottleneck the aggressiveness of vehicle accelerations plays a major role in defining the capacity drop downstream of a bottleneck. The study demonstrates that any temporal headways that may be lost while vehicles accelerate to steady-state conditions may not be recuperated and thus result in capacity drops downstream of a bottleneck. A typical example of this scenario is the traffic stream flow rate downstream of a stop sign, which is significantly less than the roadway capacity. The reduction in capacity is caused by losses in temporal headways between successive vehicles which are not recuperated. The study also demonstrates that the ability to model such a capacity drop does not require the use of a dual-regime traffic stream model as is proposed in the Highway Capacity Manual (HCM). Instead, the use of a single-regime model captures the observed capacity with the introduction of an acceleration constraint to the car-following system of equations.
Master of Science
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Sangster, John David. "Naturalistic Driving Data for the Analysis of Car-Following Models." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76925.

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The driver-specific data from a naturalistic driving study provides car-following events in real-world driving situations, while additionally providing a wealth of information about the participating drivers. Reducing a naturalistic database into finite car-following events requires significant data reduction, validation, and calibration, often using manual procedures. The data collection performed herein included: the identification of commuting routes used by multiple drivers, the extraction of data along those routes, the identification of potential car-following events from the dataset, the visual validation of each car-following event, and the extraction of pertinent information from the database during each event identified. This thesis applies the developed process to generate car-following events from the 100-Car Study database, and applies the dataset to analyze four car-following models. The Gipps model was found to perform best for drivers with greater amounts of data in congested driving conditions, while the Rakha-Pasumarthy-Adjerid (RPA) model was best for drivers in uncongested conditions. The Gipps model was found to generate the lowest error value in aggregate, with the RPA model error 21 percent greater, and the Gaxis-Herman-Rothery model (GHR) and the Intelligent Driver Model (IDM) errors 143 percent and 86 percent greater, respectively. Additionally, the RPA model provides the flexibility for a driver to change vehicles without the need to recalibrate parameter values for that driver, and can also capture changes in roadway surface type and condition. With the error values close between the RPA and Gipps models, the additional advantages of the RPA model make it the recommended choice for simulation.
Master of Science
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Flores, Carlos. "Architecture de contrôle pour le car-following adaptatif et coopératif." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEM048/document.

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L'adoption récente et généralisée des systèmes d'automatisation des véhicules, avec l’incorporation de la connectivité entre voitures, a encouragé l’utilisation des techniques comme le Contrôle Croisière Adaptatif Coopératif (CACC) et la conduite en convoi. Ces techniques ont prouvé l’amélioration du flux de trafic et la sécurité de la conduite, tout en réduisant la consommation d’énergie et les émissions CO_2. Néanmoins, la robustesse et la stabilité stricte du convoi, malgré les délais de communication et l’hétérogénéité des convois, restent des sujets de recherche en cours. Cette thèse a pour sujet la conception, l’analyse et validation de systèmes de contrôle pour le car-following automatisé et coopératif, en ciblant l’augmentation de ses avantages et son usage, en se concentrant sur la robustesse et la stabilité du convoi même sur des séries de véhicules hétérogènes avec des retards de communication. Une structure feedforward/feedback est développée, dont sa modularité est fondamentale pour la mise au point des approches avec des objectifs différents mais complémentaires. L’architecture permet non seulement l’adoption d’une stratégie d’espacement pour la range entière de vitesse, mais elle peut aussi être employée dans le cadre d’un CACC basé sur une machine d’état pour la conduite en convoi sur des environnements urbains avec des capacités de freinage d’urgence et de rejoint du convoi. Des différents algorithmes pour la conception de systèmes de contrôle feedback pour la régulation des distances sont présentés, pour quoi le calcul d’ordre fractionnaire démontre fournir des réponses fréquentielles de boucle fermé plus précises et satisfaire des besoins plus exigeantes. La performance est assurée malgré l’hétérogénéité avec la proposition de deux approches feedforward différents. Le premier est basé sur une topologie en considérant que le véhicule précédent dans la boucle, tandis que le deuxième inclut le véhicule leader pour améliorer la performance de suivi. Les algorithmes proposés sont validés avec des études de stabilité dans le domaine du temps et fréquence, ainsi que simulations et expérimentations réelles
Recent widespread adoption of vehicle automation and introduction of vehicle-to-vehicle connectivity has opened the doors for techniques as Cooperative Adaptive Cruise Control (CACC) and platooning, showing promising results in terms of traffic capacity and safety improvement, while reducing fuel consumption and CO_2 emissions. However, robustness and strict string stability, despite communication delays and string heterogeneity is still an on-going research field. This thesis deals with the design, study and validation of control systems for cooperative automated car-following, with the purpose of extending their benefits and encourage their employment, focusing on robustness and string stability, despite possible V2V communication delays and string heterogeneity. A feedforward/feedback hierarchical control structure is developed, which modularity is fundamental for the proposal of approaches that target different but complementary performance objectives. The architecture not only permits the adoption of a full speed range spacing policy that target multiple criteria, but can also be employed in a state machine-based CACC framework for urban environments with emergency braking and platoon re-joining capabilities in case of pedestrian interaction. Different feedback control design algorithms are presented for the gap-regulation, for which the fractional-order calculus is demonstrated to provide more accurate closed loop frequency responses and satisfy more demanding requirements. Desired performance is ensured in spite of string heterogeneity through the proposal of two feedforward methods : one based on predecessor-only topology, while the second includes the leader vehicle information on feedforward to gain tracking capabilities. Proposed control algorithms are validated through time and frequency-domain stability studies, simulation and real platforms experiments
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Books on the topic "Car-following"

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Kirk, Gordon. Car eers action plans: a study of the action taken by yr.11 pupils following their career action plan interview. [Guildford]: [University of Surrey], 1998.

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Oglander, Susan, ed. I'm Ready to Learn About Following Directions. Toronto, Canada: Kids Stuff: Collins Publishers [Canada], 1986.

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Day I Became A Superhero: A True Story of A Seven-Year-Old Girl Who Experienced A Superhuman Power Following A Fatal Car Crash. Balboa Press, 2011.

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Brachman, Ronald J., and Hector J. Levesque. Machines like Us. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/14299.001.0001.

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How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It's sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what's happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today's AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.
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Beauregard, Eric. The Reasoning Sex Offender. Edited by Wim Bernasco, Jean-Louis van Gelder, and Henk Elffers. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199338801.013.31.

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Although not well supported by empirical evidence, there exists a long tradition of beliefs suggesting that sex offenders suffer from mental disorders and are mainly driven by an uncontrollable impulse to sexually offend. Despite accumulating evidence showing the versatility of sex offenders, researchers have yet to examine their decision making similar to what has been done with other types of criminals (e.g., robbers, burglars, shoplifters, and car thieves). This chapter presents a review of the literature on the decision making involved in sexual crimes, specifically focusing on the decision making involved at the different crime stages—that is, before, during, and following the crime. Therefore, the goal is to take the reader through the different decision points an offender has to go through when committing a sexual crime. By doing so, this chapter aims to show that sex offenders are “reasoning” offenders similar to other types of criminals.
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Rondinone, Troy. The Discovery of New York. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037375.003.0006.

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This chapter details events following Gaspar's arrival in New York. In the summer of 1954, Nick Corby gave Gaspar a one-way Greyhound bus ticket and five dollars and told him they would meet up in New York City. After three long days and nights, Gaspar arrived in Manhattan. What a sight it was! He'd never seen anything even remotely like it. Long, wide corridors of concrete and glass extended out in every direction, thickly channeled with noisy, car-choked avenues. At a time when Tijuana had around 100,000 residents, Manhattan contained almost 2 million people. Gaspar got out between Eighth Avenue and Broadway and wandered around the station for thirty minutes, looking for his local contact and new trainer, Hipolito “Happy” Rodriguez. The next day, Happy took his new charge to Stillman's Gym to start his real education. Here Gaspar received the biggest shock yet. He was already scheduled to fight at what boxing fans called the Center of the Universe. He had a match in Madison Square Garden in just three weeks.
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Grahame, Kenneth. The Wind in the Willows. Edited by Peter Hunt. Oxford University Press, 2010. http://dx.doi.org/10.1093/owc/9780199567560.001.0001.

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‘Believe me, my young friend, there is nothing - absolutely nothing - half so much worth doing as simply messing about in boats. ’ So says Rat to Mole, as he introduces him to the delights of the river and his friends Toad, the spirit of rebellion, and Badger, the spirit of England. But it is a world where the motor-car is about to wreck the gipsy caravan, the revolutionaries in the Wild Wood are threatening the social fabric, the god Pan is abroad, and the warm seductive whispers of the south are drifting into the English lanes. An international children's classic, The Wind in the Willows grew from the author's letters to his young son, yet it is concerned almost exclusively with adult themes: fear of radical changes in political, social, and economic power. Mole's acceptance into the conservative world of the River Bank, and Toad's wild attempts to escape from it, are narrated in virtuoso language ranging from lively parody to elaborate fin-de-siècle mysticism. A profoundly English fiction with a world following, it is a book for adults adopted by children, a timeless masterpiece, and a vital portrait of an age.
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Hamourtziadou, Lily. Body Count. Policy Press, 2020. http://dx.doi.org/10.1332/policypress/9781529206722.001.0001.

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The need to secure civilians and their fundamental rights has led to the moral imperative to track, record and memorialise the killing and the suffering of those who find themselves in the midst of violent conflict. Body Count tracks and explores civilian deaths in Iraq following the 2003 invasion by the US-led coalition. It is a recounting of the conflict through the counting of its victims. The book provides a narrative of the War on Terror by charting its course and its impact, through ‘live’ reports and through reflective analysis by the principal researcher of the NGO Iraq Body Count. It highlights the importance and the challenges of casualty recording, it maps the insurgency in Iraq and the ensuing civilian deaths, the struggle between military power and ideology, the increasing radicalisation, the seeking of security through hegemony, and the cycle of violence. The book narrates state collapse through discussions on the neoliberal system’s effect on Iraq’s security, on military interventions and the Western control paradigm, on individual and community trauma. It raises questions on leadership and hegemony, the vulnerability of weak states, winning and losing, regime and energy security. It tells the daily story of Iraq: a story of fear, of executions and mass graves, of airstrikes and car bombs, of heroism and sacrifice, and of life carrying on.
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Whittle, Ian. Head injury. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198569381.003.0589.

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Head injury or traumatic brain injury is a ubiquitous phenomenon in all societies and affects up to 2 per cent of the population per year (Bullock et al. 2006). Although the causes of head injury and its distribution within populations vary, it can have devastating consequences both for the patient and family (Tagliaferri et al. 2006). In some countries severe traumatic brain injury is the commonest cause of death in people under 40 years (Lee et al. 2006), and it is estimated that the sequelae of head injury cost societies billions of dollars per year. Understanding of the pathophysiology, diagnosis, and management have all improved dramatically in the last few decades (Steudel et al. 2005). However within western society, perhaps one of the greatest benefits has been the reduction in severe craniocerebral injuries following motor vehicle accidents. This has arisen because of increased safety in car design, seat-belt legislation, the introduction of air-bags, enforcement of speed limits, and the societal conformity to drink-driving legislation. For instance, because of these changes, in the last 15 years the number of severe head injuries managed in the Clinical Neuroscience unit in Edinburgh has decreased by around 66 per cent. Unfortunately in some developing countries one legacy of increased traffic, particularly of motor cycles, is an epidemic of head injuries amongst young adults (Lee et al. 2006). With the number of severe head injuries declining in many countries the challenge will be to provide better care for patients with minor head injury, about 10 times more common than severe injury (Steudel et al. 2005).Ageing patients who tend to fall over, falls associated with increased alcohol consumption, and domestic or social assaults probably now contribute to the majority of head injuries (Flanagan et al. 2005; Steudel et al. 2005; Tagliaferri et al. 2006). Sporting injuries are fortunately uncommon as a cause of severe craniocerebral injury, although horse riding accidents can sometimes be devastating particularly in teenage girls. In some countries injuries from hand guns and other missiles are common (Aryan et al. 2005), but in European countries many such injuries are self-inflicted. Prompt management of intracranial haematoma, which occurs in 25–45 per cent of severe head injuries, 3–12 per cent of moderate injuries, and 0.2 per cent of minor injuries, and the rehabilitation of patients with head injury are now important areas in clinical neuroscience (Flanagan et al. 2005; Bullock et al. 2006b, c).
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Book chapters on the topic "Car-following"

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Treiber, Martin, and Arne Kesting. "Elementary Car-Following Models." In Traffic Flow Dynamics, 157–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32460-4_10.

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Kesting, Arne, and Martin Treiber. "Calibration of Car-Following Models Using Floating Car Data." In Traffic and Granular Flow ’07, 117–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77074-9_10.

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Salter, R. J. "Car Following Theory Illustrated by an Example." In Traffic Engineering, 17–20. London: Macmillan Education UK, 1989. http://dx.doi.org/10.1007/978-1-349-10800-8_5.

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Costeseque, G., and Jean-Patrick Lebacque. "Multi-anticipative Car-Following Behaviour: Macroscopic Modeling." In Traffic and Granular Flow '13, 395–405. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10629-8_45.

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Lubashevsky, Ihor, and Kaito Morimura. "Physics of Mind and Car-Following Problem." In Complex Dynamics of Traffic Management, 559–92. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-8763-4_714.

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Lubashevsky, Ihor, and Kaito Morimura. "Physics of Mind and Car-Following Problem." In Encyclopedia of Complexity and Systems Science, 1–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-27737-5_714-1.

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Treiber, Martin, and Arne Kesting. "Car-Following Models Based on Driving Strategies." In Traffic Flow Dynamics, 181–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32460-4_11.

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Guillen, Pablo, and Urša Komac. "Following America, Not Japan: Car Dependent Emerging Megacities." In SpringerBriefs in Architectural Design and Technology, 65–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5741-5_10.

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Ros, Bernat Goñi, Victor L. Knoop, Wouter J. Schakel, Bart van Arem, and Serge P. Hoogendoorn. "A Model of Car-Following Behavior at Sags." In Traffic and Granular Flow '13, 385–93. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10629-8_44.

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Hamdar, Samer H., and Hani S. Mahmassani. "Colliding Particles: Beyond Accident-Free Car Following Models." In Traffic and Granular Flow ’07, 65–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-77074-9_6.

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Conference papers on the topic "Car-following"

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Jia, Hongfei, Siyuan Gong, Dong Yang, and Yanling Li. "Research of Drivers' Car-Following Behavior with Car-Following Suggestion." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.125.

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Nguyen, John, and Raphael Stern. "Modeling oscillatory car following using deep reinforcement learning based car following models." In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2021. http://dx.doi.org/10.1109/mt-its49943.2021.9529262.

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Sauer, Craig W., George J. Andersen, and Asad Saidpour. "Car Following by Optical Parameters." In Driving Assessment Conference. Iowa City, Iowa: University of Iowa, 2005. http://dx.doi.org/10.17077/drivingassessment.1113.

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Cao, Baogui, and Zhaosheng Yang. "Car-Following Models Study Progress." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.83.

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Lubashevsky, Ihor, Akihito Usui, and Kaito Morimura. "Non-Stationary Car-Following Dynamics." In ICSCA 2020: 2020 9th International Conference on Software and Computer Applications. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3384544.3384559.

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Hinsbergen,, van. "Bayesian Calibration of Car-Following Models." In Control in Transportation Systems, edited by Chassiakos, Anastasios, chair De Schutter, and Ioannou, Petros. Elsevier, 2009. http://dx.doi.org/10.3182/20090902-3-us-2007.00015.

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LAZAR, Hajar. "Comparison of Microscopic Car following Models." In 2019 Fourth International Conference on Systems of Collaboration Big Data, Internet of Things & Security ( SysCoBIoTS). IEEE, 2019. http://dx.doi.org/10.1109/syscobiots48768.2019.9028040.

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Schneiderman, Henry, Marilyn Nashman, and Ronald Lumia. "Model-based vision for car following." In Optical Tools for Manufacturing and Advanced Automation, edited by Paul S. Schenker. SPIE, 1993. http://dx.doi.org/10.1117/12.150245.

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Sun, Xiaoduan, and Xuyong Wang. "Investigating Car-Following Behavior with GPS." In Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT). Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40632(245)79.

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Liu, Lijuan, Ning Zhang, Di Chen, and Jian Liu. "An Improved Car-Following Model Car with Leading Acceleration Considered." In 2010 International Conference on Computational Intelligence and Software Engineering (CiSE). IEEE, 2010. http://dx.doi.org/10.1109/cise.2010.5677132.

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Reports on the topic "Car-following"

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Utsugi, Akio, and Motoyuki Akamatsu. Analysis of Car-Following Behavior Using Dynamic Probabilistic Models~Identification of Driving Mode Transition Using Dynamic Bayesian Networks. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0241.

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Schluckebier, Kai. Intersections in contemporary traffic planning. Goethe-Universität, Institut für Humangeographie, August 2021. http://dx.doi.org/10.21248/gups.58866.

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Abstract:
In Germany, traffic planning still follows the tradition of modernist urban planning theory from the beginning of the 1930s and car-oriented city planning during the post-war period in West Germany. From a methodological perspective, the prevailing narrative is that traffic can be abstracted and modelled under laboratory conditions (in vitro) as a spatial movement process of individual neutral particles. The use of these laboratory experiments in traffic planning cannot be understood as a neutral application of experimental results, assumed to be true, in a variety of spatial contexts. Rather, it is an active practice of staging traffic according to a particular social interactionist paradigm. According to this, traffic is staged through interventions in planning authorities as well as the practices of people on the streets. In order to describe these staging conduits, traffic is ontologically thought of as a social order that is continuously reproduced situationally through interactions, following Erving Goffman and Harold Garfinkel. To investigate the staging conduits empirically, an ethnographic-inspired field study was conducted at Willy-Brandt-Platz in Frankfurt am Main in May and June 2020. Through situational mapping and observation of social interactions (in situ), knowledge about the staging of social orders was generated. These empirical findings are further embedded in debates that discuss traffic not only as a staging but also as an enactment of certain realities. Understanding planning practice as a political enactment, through which realities are not only described but also made, makes it possible for us to think and design alternative realities.
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Jacobsen, Nils. Linjebussens vekst og fall i den voksende byen: en studie av bybussenes geografiske kvalitet Stavanger – Sandnes 1920 – 2010. University of Stavanger, November 2019. http://dx.doi.org/10.31265/usps.244.

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Linear city bus services are facing increased challenges from city growth. Increased number of inhabitants on increasing acres of built-up areas, makes it demanding to maintain adequate bus services within reasonable catchment areas. Number of departures per hour give a partial description of the bus service quality. Number of departures give reference to the time aspect of bus service quality, but say nothing about the geographical aspect. What part of the entire line network is within reach of direct bus service when frequencies are limited? To address the geographical aspect of bus service quality, the term network ratio is introduced. The term Network Ratio (NR) signifies what part of the entire line network is within reach of direct bus service to or from a certain place in the network. Network Ratio is given as a mathematical term whereby direct bus lines are calculated as a percentage of the entire network. The character and development of Network Ratio in a specific city is illustrated through an analysis of the urban growth of line network and built-up areas in the twin cities of Stavanger and Sandnes. The analysis is covering the period 1920 – 2000 in intervals of 20 years from the first bus lines were established in the urban area. Year 2010 is also included due to major changes implemented right after the turn of the millennium. Development show there is a close relation between bus network and built-up areas. When areas are being built, bus lines follow. The initial fase 1920 – 40 with extensive development of bus lines combined with some areal growth, is followed by a fase of consolidation 1940 – 60. The latter period is characterized by moderate areal growth, extended lines reducing network ratios, and increasing frequencies on the best bus lines. Extensive areal growth in the following period 1960 – 80, implies increased number of bus lines. As a consequence network ratios as well as frequencies are falling in the entire network. In 1960 certain lines had developed as much as 6 departures per hour, while maximum bus line frequency in 1980 has diminished to 2. New bus service development is introduced in the following period between 1980 and 2000. Numerous bus companies are united, and a more comprehensive planning of bus services are applied. The number of bus lines is stabilized at about 40, the fall in network ratio is reduced, and certain lines develop 4 departures per hour. Parallell to the bus development, growth of built-up areas is slowing down due to increased urban renewal with higher densities within built-up areas. In the period 2000 – 2010 new efforts are given to the development of bus services. Development of Network Ratio takes a new direction: The length of network links with high NR is increasing, while links with very low NR are diminishing. Number of bus lines is decreasing, and by 2010 almost 50% of the bus lines are served with 4 departures or more. Passenger comfort is improved in buses as well as on bus stops, and low floor buses are introduced to ease accessibility. Bus service quality is further developed after 2010. Digital services are introduced including digital ticketing, bus service information and real-time information on internet. In addition real-time information is presented at high frequency bus stops through visual screen and auditory speaker. Inside the buses name of next stop is given on screen and through loudspeaker. Further development of the bus services, should include improved Network Ratios in the entire network, as well as increased frequencies on major bus corridors. The latter is a task not only for the bus service planners, but just as well for the city planners and politicians in collaboration with the developers implementing urban density and allocation of important destinations. A last, but not least, objective for bus service development will be to improve punctuality and total travel time. Today a considerable proportion of city bus services are delayed in car traffic congestions. This is occurring especially on main streets and during rush hours. A set of different solutions are needed to address this question: 1. Dedicated bus streets (including car access to limited addresses) 2. Bus lines through local streets in concentrated housing, office and shopping areas. 3. Dedicated bus lane on main streets where possible. 4. Car traffic regulations on main streets without space for extra bus lane. As an overall vision, we need to cultivate the word of Flemming Larsen: urban growth as pearls on a string, as shown in fig. 13 and fig. 14.
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