Academic literature on the topic 'Transportation systems infrastructure engineering for autonomous vehicles'
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Journal articles on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Hjalmarsson-Jordanius, Anders, Mikael Edvardsson, Martin Romell, Johan Isacson, Carl-Johan Aldén, and Niklas Sundin. "Autonomous Transport: Transforming Logistics through Driverless Intelligent Transportation." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 7 (September 17, 2018): 24–33. http://dx.doi.org/10.1177/0361198118796968.
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How can autonomous technology be used beyond end-customer autonomous driving features? This position paper addresses this problem by exploring a novel autonomous transport solution applied in the automotive logistics domain. We propose that factory-complete cars can be transformed to become their own autonomous guided vehicles and thus transport themselves when being moved from the factory for shipment. Cars equipped with such a system are driverless and use an onboard autonomous transport solution combined with the advanced driver assistance systems pre-installed in the car for end-customer use. The solution uses factory-equipped sensors as well as the connectivity infrastructure installed in the car. This means that the solution does not require any extra components to enable the car to transport itself autonomously to complete a transport mission in the logistics chain. The solution also includes an intelligent off-board traffic control system that defines the transport mission and manages the interaction between vehicles during systems operation. A prototype of the system has been developed which was tested successfully in live trials at the Volvo Car Group plant in Gothenburg Sweden in 2017. In the paper, autonomous transport is positioned in between autonomous guided vehicles and autonomous driving technology. A review of the literature on autonomous vehicle technology offers contextual background to this positioning. The paper also presents the solution and displays lessons learned from the live trials. Finally, other use areas are introduced for driverless autonomous transport beyond the automotive logistics domain that is the focus of this paper.
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Ding, Zhizhong, Chao Sun, Momiao Zhou, Zhengqiong Liu, and Congzhong Wu. "Intersection Vehicle Turning Control for Fully Autonomous Driving Scenarios." Sensors 21, no. 12 (June 9, 2021): 3995. http://dx.doi.org/10.3390/s21123995.
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Currently the research and development of autonomous driving vehicles (ADVs) mainly consider the situation whereby manual driving vehicles and ADVs run simultaneously on lanes. In order to acquire the information of the vehicle itself and the environment necessary for decision-making and controlling, the ADVs that are under development now are normally equipped with a lot of sensing units, for example, high precision global positioning systems, various types of radar, and video processing systems. Obviously, the current advanced driver assistance systems (ADAS) or ADVs still have some problems concerning high reliability of driving safety, as well as the vehicle’s cost and price. It is certain, however, that in the future there will be some roads, areas or cities where all the vehicles are ADVs, i.e., without any human driving vehicles in traffic. For such scenarios, the methods of environment sensing, traffic instruction indicating, and vehicle controlling should be different from that of the situation mentioned above if the reliability of driving safety and the production cost expectation is to be improved significantly. With the anticipation that a more sophisticated vehicle ad hoc network (VANET) should be an essential transportation infrastructure for future ADV scenarios, the problem of vehicle turning control based on vehicle to everything (V2X) communication at road intersections is studied. The turning control at intersections mainly deals with three basic issues, i.e., target lane selection, trajectory planning and calculation, and vehicle controlling and tracking. In this paper, control strategy, model and algorithms are proposed for the three basic problems. A model predictive control (MPC) paradigm is used as the vehicle upper layer controller. Simulation is conducted on the CarSim-Simulink platform with typical intersection scenes.
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Zeng, Yi, Haofan Yi, Zijie Xia, Shaoshi Wang, Bo Ai, Dan Fei, Weidan Li, and Ke Guan. "Measurement and Simulation for Vehicle-to-Infrastructure Communications at 3.5 GHz for 5G." Wireless Communications and Mobile Computing 2020 (December 5, 2020): 1–13. http://dx.doi.org/10.1155/2020/8851600.
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Intelligent Transportation System (ITS) is more and more crucial in the modern transportation field, such as the applications of autonomous vehicles, dynamic traffic light sequences, and automatic road enforcement. As the upcoming fifth-generation mobile network (5G) is entering the deployment phase, the idea of cellular vehicle-to-everything (C-V2X) is proposed. The same 5G networks, coming to mobile phones, will also allow vehicles to communicate wirelessly with each other. Hence, 3.5 GHz, as the main sub-6 GHz band licensed in 5G, is focused in our study. In this paper, a comprehensive study on the channel characteristics for vehicle-to-infrastructure (V2I) link at 3.5 GHz frequency band is conducted through channel measurements and ray-tracing (RT) simulations. Firstly, the channel parameters of the V2I link are characterized based on the measurements, including power delay profile (PDP), path loss, root-mean-square (RMS) delay spread, and coherence bandwidth. Then, the measurement-validated RT simulator is utilized to conduct the simulations in order to supplement other channel parameters, in terms of the Ricean K-factor, angular spreads, the cross-correlations of abovementioned parameters, and the autocorrelation of each parameter itself. This work is aimed at helping the researchers understand the channel characteristics of the V2I link at 3.5 GHz and support the link-level and system level design for future vehicular communications of 5G.
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Hanzl, Jiří, Patrik Gross, Ladislav Bartuška, and Jan Pečman. "Simulation of Autonomous Mobility of Connected Vehicles in the Context of Real Conditions – a Case Study." LOGI – Scientific Journal on Transport and Logistics 12, no. 1 (January 1, 2021): 226–37. http://dx.doi.org/10.2478/logi-2021-0021.
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Abstract By designing road infrastructure, it is necessary to adapt the real situation to current development trends and respond accordingly to the intensity of traffic on the transport network. The development of the traffic situation is generally very dynamic, difficult to predict and influenced by a number of other factors. Modern technologies enable adaptive traffic flow management based on the sharing and evaluation of traffic information obtained in real time from traffic monitoring systems or even from vehicles as such (e.g. thanks to “Connected Vehicles” technology). The article first carries out a literature review of professional literature and scientific articles dealing with the issue of autonomous mobility and autonomous management of transport processes. That is followed by a description and creation of own algorithm for autonomous control of vehicles at the level crossing, including description of used data, methods and proposed solutions. Finally, the developed method (algorithm) is tested by the Anylogic simulation program in a real environment, as a case study of autonomous vehicle decision-making at the level crossing.
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Khan, Mohammad Zubair, Arindam Sarkar, Hamza Ghandorh, Maha Driss, and Wadii Boulila. "Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization." Sensors 22, no. 4 (February 20, 2022): 1652. http://dx.doi.org/10.3390/s22041652.
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Information fusion in automated vehicle for various datatypes emanating from many resources is the foundation for making choices in intelligent transportation autonomous cars. To facilitate data sharing, a variety of communication methods have been integrated to build a diverse V2X infrastructure. However, information fusion security frameworks are currently intended for specific application instances, that are insufficient to fulfill the overall requirements of Mutual Intelligent Transportation Systems (MITS). In this work, a data fusion security infrastructure has been developed with varying degrees of trust. Furthermore, in the V2X heterogeneous networks, this paper offers an efficient and effective information fusion security mechanism for multiple sources and multiple type data sharing. An area-based PKI architecture with speed provided by a Graphic Processing Unit (GPU) is given in especially for artificial neural synchronization-based quick group key exchange. A parametric test is performed to ensure that the proposed data fusion trust solution meets the stringent delay requirements of V2X systems. The efficiency of the suggested method is tested, and the results show that it surpasses similar strategies already in use.
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Desta, Robel, and Janos Toth. "Macroscopic Experiments on Coexistence of Autonomous Vehicle Behavior on Various Heterogeneous Traffic Conditions." Journal of Advanced Transportation 2022 (October 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/3552167.
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Automated vehicles (AVs) are likely to bring paradigm shift in the future of transportation and in the transformation of urban space as they could reduce traffic accidents, energy consumption, and pollution while also lowering congestion expenses. To provide meaningful insights, there is a substantial need for investigation into the macroscopic evaluation of various evolutions of AVs using several measures of effectiveness. The main focus of this study is to evaluate the macroscopic operational impacts of AVs in terms of their driving logics, automation levels, and roadway type, all of which are adopted based on their passenger car unit (PCU) factors at various penetration rates, in order to assess the coexistence of AVs with heterogeneous traffic. The daily vehicle hours travelled, daily vehicle kilometers travelled, sum of delays on links, speed variation, and sum of vehicle volumes on links are used as measures of effectiveness parameters based on outputs of PTV Visum scenario manager. The results of the various scenario combinations depicted an overall improvement with advancement of driving logics, automation levels, and roadway types for each studied parameter. For instance, for better roadway condition with the motorway scenario and at higher AV penetration, the cautious driving behavior negatively affects the network performance, whereas favorable improvements are observed for the parameters of the normal and aggressive driving behaviors. Decision makers could make use of the insights obtained from the results to further shape the AV deployment aspects and extend the study considering infrastructure AV-readiness along with AV communication systems.
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Algarni, Abdullah, and Vijey Thayananthan. "Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G." Electronics 10, no. 20 (October 13, 2021): 2490. http://dx.doi.org/10.3390/electronics10202490.
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The transportation industries forecast that by 2050 more than 50% of vehicles on the road will be autonomous vehicles, and automotive services will dynamically support all vehicles. All of them will be serviced using the latest technology, which includes the Software Defined Network (SDN) and available new generations (5G+ or 6G) at the time. Although many transportation services and rapid facilities are achievable dynamically, transportation services with automation and intelligent actions are still not mature because the legacy of transport services cannot be corporate with the 5G+. These expected problems can be improved through the following possible and manageable approaches: flexible framework of 5G automotive services from the legacy systems, designing energy-efficient and intelligent infrastructures with SDN, and managing security solutions that evolve with the emerging technology. An efficient model (flexible framework) is proposed to secure smart transportation services with a secure and intelligent connected system and security solutions based on the 5G concept. Although 5G is considered in this framework, the method and steps of design and solution phases will be adaptable to the 5G+ framework. Furthermore, the basic properties of SDN allowed us to design a novel approach for measuring data traffic related to transport services and transport management, such as the priority of the transportation services. With the emergence of 5G+ capabilities, transportation services expect more challenges through future user requirements, including dynamic security solutions, minimum latency, maximum energy efficiency (EE), etc. Future automotive services depend on many sensors and their messages received through secure communication systems with 5G+ capabilities. As a result, this theoretical model will prove that 5G capabilities provide security facilities, better latency, and EE within the transportation system. Moreover, this model can be extendable to improve the 5G+ transportation services.
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Algarni, Abdullah, and Vijey Thayananthan. "Improvement of 5G Transportation Services with SDN-Based Security Solutions and beyond 5G." Electronics 10, no. 20 (October 13, 2021): 2490. http://dx.doi.org/10.3390/electronics10202490.
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The transportation industries forecast that by 2050 more than 50% of vehicles on the road will be autonomous vehicles, and automotive services will dynamically support all vehicles. All of them will be serviced using the latest technology, which includes the Software Defined Network (SDN) and available new generations (5G+ or 6G) at the time. Although many transportation services and rapid facilities are achievable dynamically, transportation services with automation and intelligent actions are still not mature because the legacy of transport services cannot be corporate with the 5G+. These expected problems can be improved through the following possible and manageable approaches: flexible framework of 5G automotive services from the legacy systems, designing energy-efficient and intelligent infrastructures with SDN, and managing security solutions that evolve with the emerging technology. An efficient model (flexible framework) is proposed to secure smart transportation services with a secure and intelligent connected system and security solutions based on the 5G concept. Although 5G is considered in this framework, the method and steps of design and solution phases will be adaptable to the 5G+ framework. Furthermore, the basic properties of SDN allowed us to design a novel approach for measuring data traffic related to transport services and transport management, such as the priority of the transportation services. With the emergence of 5G+ capabilities, transportation services expect more challenges through future user requirements, including dynamic security solutions, minimum latency, maximum energy efficiency (EE), etc. Future automotive services depend on many sensors and their messages received through secure communication systems with 5G+ capabilities. As a result, this theoretical model will prove that 5G capabilities provide security facilities, better latency, and EE within the transportation system. Moreover, this model can be extendable to improve the 5G+ transportation services.
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Shan, Mao, Karan Narula, Yung Fei Wong, Stewart Worrall, Malik Khan, Paul Alexander, and Eduardo Nebot. "Demonstrations of Cooperative Perception: Safety and Robustness in Connected and Automated Vehicle Operations." Sensors 21, no. 1 (December 30, 2020): 200. http://dx.doi.org/10.3390/s21010200.
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Cooperative perception, or collective perception (CP), is an emerging and promising technology for intelligent transportation systems (ITS). It enables an ITS station (ITS-S) to share its local perception information with others by means of vehicle-to-X (V2X) communication, thereby achieving improved efficiency and safety in road transportation. In this paper, we present our recent progress on the development of a connected and automated vehicle (CAV) and intelligent roadside unit (IRSU). The main contribution of the work lies in investigating and demonstrating the use of CP service within intelligent infrastructure to improve awareness of vulnerable road users (VRU) and thus safety for CAVs in various traffic scenarios. We demonstrate in experiments that a connected vehicle (CV) can “see” a pedestrian around the corners. More importantly, we demonstrate how CAVs can autonomously and safely interact with walking and running pedestrians, relying only on the CP information from the IRSU through vehicle-to-infrastructure (V2I) communication. This is one of the first demonstrations of urban vehicle automation using only CP information. We also address in the paper the handling of collective perception messages (CPMs) received from the IRSU, and passing them through a pipeline of CP information coordinate transformation with uncertainty, multiple road user tracking, and eventually path planning/decision-making within the CAV. The experimental results were obtained with manually driven CV, fully autonomous CAV, and an IRSU retrofitted with vision and laser sensors and a road user tracking system.
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Thorncharoensri, P., W. Susilo, and Y. Chow. "Secure and Efficient Communication in VANETs Using Level-Based Access Control." Wireless Communications and Mobile Computing 2022 (March 29, 2022): 1–19. http://dx.doi.org/10.1155/2022/8736531.
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In recent years, the development of vehicular ad-hoc networks (VANETs) has received much attention in intelligent transportation systems (ITS). Unlike traditional ad-hoc networks, VANETs are emerging with unique characteristics that share similar technology with autonomous vehicles (AVs) and automated driving systems (ASDs). Communication between vehicles and the surrounding infrastructure unit, such as a roadside unit (RSU), must be secured, concise, and authentic. Hence, an access control system for the ad-hoc environment is required. We introduced a level-based controlled signcryption (LBS) scheme, which can be easily constructed and implemented into an access control system for VANETs environment. Our encrypted message has a short and constant size, which is better when compared with other attribute-based signcryption or encryption. Confidentiality, privacy, and authenticity are also provided in our scheme to ensure secure and authentic communication. Therefore, our scheme has addressed communication cost, scalability, security, and privacy issues in VANETs. This primitive can be applied to simplify attribute-based access control, as the only attribute required is an integer representing the security level. Our objective is to improve the quality and security of VANET communication. Moreover, an optional privacy mechanism in our scheme provides flexibility in controlling node privacy in VANETs.
Dissertations / Theses on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Assaad, Mohamad Ali. "An overview on systems of systems control : general discussions and application to multiple autonomous vehicles." Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2466/document.
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La thèse porte sur le contrôle des systèmes de systèmes (SdS) et, sur la manière de construire des SdS adaptables et fiables. Ce travail fait partie du laboratoire d’excellence Labex MS2T sur le développement des SdS technologiques. Les SdS sont des systèmes complexes constitués de plusieurs systèmes indépendants qui fonctionnent ensemble pour atteindre un objectif commun. L’ingénierie des SdS est une approche qui se concentre sur la manière de construire et de concevoir des SdS fiables capables de s’adapter à l’environnement dynamique dans lequel ils évoluent. Compte tenu de l’importance du contrôle des systèmes constituants (SC) pour atteindre les objectifs du SdS , la première partie de cette thèse a consisté en une étude bibliographique sur le sujet du contrôle des SdS. Certaines méthodes de contrôle existent pour les systèmes à grande échelle et les systèmes multi-agents, à savoir, le contrôle hiérarchique, distribué et décentralisé peuvent être utiles et sont utilisés pour contrôler les SdS. Ces méthodes ne conviennent pas pour contrôler un SdS dans sa globalité et son évolution, en raison de l’indépendance de leur SC ; alors que les “frameworks” multi-vues conviennent mieux à cet objectif. Une approche de ”framework” générale est proposée pour modéliser et gérer les interactions entre les SC dans un SdS. La deuxième partie de notre travail a consisté à contribuer aux systèmes de transport intelligent. À cette fin, nous avons proposé le gestionnaire de manœuvres coopératives pour les véhicules autonomes (CMMAV), un “framework” qui guide le développement des applications coopératives dans les véhicules autonomes. Pour valider le CMMAV, nous avons développé le gestionnaire de manœuvres latérales coopératives (CLMM), une application sur les véhicules autonomes qui permet d’échanger des demandes afin de coopérer lors de manœuvres de dépassement sur autoroute. Cette application a été validée par des scénarios formels, des simulations informatiques, et testée sur les véhicules autonomes du projet Robotex au laboratoire HeudiasycThis thesis focuses on System of Systems (SoS) control, and how to build adaptable and reliable SoS. This work is part of the Labex MS2T laboratory of excellence on technological SoS development. SoS are complex systems that consist of multiple independent systems that work together to achieve a common goal. SoS Engineering is an approach that focuses on how to build and design reliable SoS that can adapt to the dynamic environment in which they operate. Given the importance of controlling constituent systems (CS) in order to achieve SoS objectives, the first part of this thesis involved a literature study about the subject of SoS control. Some control methods exist for large-scale systems and multi-agent systems, namely, hierarchical, distributed, and decentralized control might be useful and are used to control SoS. These methods are not suitable for controlling SoS in its whole, because of the independence of their CS; whereas, multi-views frameworks are more suitable for this objective. A general framework approach is proposed to model and manage the interactions between CS in a SoS. The second part of our work consisted of contributing to Intelligent Transportation Systems. For this purpose, we have proposed the Cooperative Maneuvers Manager for Autonomous Vehicles (CMMAV), a framework that guides the development of cooperative applications in autonomous vehicles. To validate the CMMAV, we have developed the Cooperative Lateral Maneuvers Manager (CLMM), an application on the autonomous vehicles that enables equipped vehicles to exchange requests in order to cooperate during overtaking maneuvers on highways. It was validated by formal scenarios, computer simulations, and tested on the autonomous vehicles of the Equipex Robotex in Heudiasyc laboratory
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Kurt, Arda. "Hybrid-State System Modelling for Control, Estimation and Prediction in Vehicular Autonomy." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325181635.
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Zhang, Yue. "Methods in intelligent transportation systems exploiting vehicle connectivity, autonomy and roadway data." Thesis, 2019. https://hdl.handle.net/2144/38203.
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Intelligent transportation systems involve a variety of information and control systems methodologies, from cooperative systems which aim at traffic flow optimization by means of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, to information fusion from multiple traffic sensing modalities. This thesis aims to address three problems in intelligent transportation systems, one in optimal control of connected automated vehicles, one in discrete-event and hybrid traffic simulation model, and one in sensing and classifying roadway obstacles in smart cities.
The first set of problems addressed relates to optimally controlling connected automated vehicles (CAVs) crossing an urban intersection without any explicit traffic signaling. A decentralized optimal control framework is established whereby, under proper coordination among CAVs, each CAV can jointly minimize its energy consumption and travel time subject to hard safety constraints. A closed-form analytical solution is derived while taking speed, control, and safety constraints into consideration. The analytical solution of each such problem, when it exists, yields the optimal CAV acceleration/deceleration. The framework is capable of accommodating for turns and ensures the absence of collisions. In the meantime, a measurement of passenger comfort is taken into account while the vehicles make turns. In addition to the first-in-first-out (FIFO) ordering structure, the concept of dynamic resequencing is introduced which aims at further increasing the traffic throughput. This thesis also studies the impact of CAVs and shows the benefit that can be achieved by incorporating CAVs to conventional traffic.
To validate the effectiveness of the proposed solution, a discrete-event and hybrid simulation framework based on SimEvents is proposed, which facilitates safety and performance evaluation of an intelligent transportation system. The traffic simulation model enables traffic study at the microscopic level, including new control algorithms for CAVs under different traffic scenarios, the event-driven aspects of transportation systems, and the effects of communication delays. The framework spans multiple toolboxes including MATLAB, Simulink, and SimEvents.
In another direction, an unsupervised anomaly detection system is developed based on data collected through the Street Bump smartphone application. The system, which is built based on signal processing techniques and the concept of information entropy, is capable of generating a prioritized list of roadway obstacles, such that the higher-ranked entries are most likely to be actionable bumps (e.g., potholes) requiring immediate attention, while those lower-ranked are most likely to be nonactionable bumps(e.g., flat castings, cobblestone streets, speed bumps) for which no immediate action is needed. This system enables the City to efficiently prioritize repairs. Results on an actual data set provided by the City of Boston illustrate the feasibility and effectiveness of the system in practice.
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"DeepCrashTest: Translating Dashcam Videos to Virtual Tests forAutomated Driving Systems." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.55630.
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abstract: The autonomous vehicle technology has come a long way, but currently, there are no companies that are able to offer fully autonomous ride in any conditions, on any road without any human supervision. These systems should be extensively trained and validated to guarantee safe human transportation. Any small errors in the system functionality may lead to fatal accidents and may endanger human lives. Deep learning methods are widely used for environment perception and prediction of hazardous situations. These techniques require huge amount of training data with both normal and abnormal samples to enable the vehicle to avoid a dangerous situation.
The goal of this thesis is to generate simulations from real-world tricky collision scenarios for training and testing autonomous vehicles. Dashcam crash videos from the internet can now be utilized to extract valuable collision data and recreate the crash scenarios in a simulator. The problem of extracting 3D vehicle trajectories from videos recorded by an unknown monocular camera source is solved using a modular approach. The framework is divided into two stages: (a) extracting meaningful adversarial trajectories from short crash videos, and (b) developing methods to automatically process and simulate the vehicle trajectories on a vehicle simulator.Dissertation/Thesis
Video Demonstration
Masters Thesis Computer Science 2019
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(11187051), Yury Kuleshov. "The Study of Behavior of Passenger Car-Semi-Autonomous Trailer Connections under Load." Thesis, 2021.
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A variety of passenger car-trailer connections exist on the market. One specific type of the connections provides a tensile force measurement capability for the purpose of providing feedback for the semi-autonomous trailer’s control system. Semi-autonomous trailer is an innovative technology that can encourage drivers to use smaller vehicles for towing, which will contribute to restoration and improvement of urban infrastructure (NAE Grand Challenges for Engineering, 2020). The vehicle-semi-autonomous trailer connection’s safety concerns depend on multiple factors, but start with either a mechanical, or an electrical failure. The topic of safety of passenger car-semi-autonomous trailer connections is not well present in literature. The connections’ mechanical failures under load are in the focus of this work. The author addressed the following research question and the sub question. How do the existing “passenger car-trailer” connections with tensile force measurement capability compare to one another under load in terms of the possible failure? What is the failure mode of each of the compared connections? The author selected three prototypes from the literature, built three-dimensional (3D) models in SolidWorks 2018 and simulated the tests in the program’s add-on in accordance with the requirements of an industry standard on real-life testing of specific vehicle systems. The author compared the three prototypes by a number of different parameters. The research showed that none of the three existing prototypes are public road-ready in terms of safety. The study can be useful for future designers of passenger-car-semi-autonomous trailer connections.
Books on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Shladover, S. Recent international activity in cooperative vehicle-highway automation systems. McLean, VA: Office of Operations Research and Development, Turner-Fairban Highway Research Center, 2012.
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Shladover, S. Literature review on recent international activity in cooperative vehicle-highway automation systems. McLean, VA: Office of Operations Research and Development, Turner-Fairban Highway Research Center, 2012.
Find full textBook chapters on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Dresner, Kurt, Peter Stone, and Mark Van Middlesworth. "An Unmanaged Intersection Protocol and Improved Intersection Safety for Autonomous Vehicles." In Multi-Agent Systems for Traffic and Transportation Engineering, 193–217. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-226-8.ch009.
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Fully autonomous vehicles promise enormous gains in safety, efficiency, and economy for transportation. In previous work, the authors of this chapter have introduced a system for managing autonomous vehicles at intersections that is capable of handling more vehicles and causing fewer delays than modern- day mechanisms such as traffic lights and stop signs [Dresner & Stone 2005]. This system makes two assumptions about the problem domain: that special infrastructure is present at each intersection, and that vehicles do not experience catastrophic physical malfunctions. In this chapter, they explore two separate extensions to their original work, each of which relaxes one of these assumptions. They demonstrate that for certain types of intersections—namely those with moderate to low amounts of traffic—a completely decentralized, peer-to-peer intersection management system can reap many of the benefits of a centralized system without the need for special infrastructure at the intersection. In the second half of the chapter, they show that their previously proposed intersection control mechanism can dramatically mitigate the effects of catastrophic physical malfunctions in vehicles such that in addition to being more efficient, autonomous intersections will be far safer than traditional intersections are today.
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Kastell, Kira. "Communication Networks to Connect Moving Vehicles to Transportation Systems to Infrastructure." In Transportation Systems and Engineering, 815–35. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch041.
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Communication in transportation systems not only involves the communication inside a vehicle, train, or airplane but it also includes the transfer of data to and from the transportation system or between devices belonging to that system. This will be done using different types of wireless communication. Therefore in this chapter, first, the fundamentals of mobile communication networks are shortly described. Thereafter, possible candidate networks are discussed. Their suitability for a certain transportation system can be evaluated taking into consideration the system's requirements. Among the most prominent are the influence of speed and mobility, data rate and bit error rate constraints, reliability of the system and on-going connections. As in most of the cases, there will be no single best wireless communication network to fulfil all requirements, and in this chapter also hybrid networks are discussed. These are networks consisting of different (wireless) access networks. The devices may use the best suited network for a given situation but also change to another network while continuing the on-going connection or data transfer. Here the design of the handover or relocation plays a critical role as well as localization.
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Yan, Gongjun, Danda B. Rawat, Bhed Bahadur Bista, Wu He, and Awny Alnusair. "Privacy Protection in Vehicular Ad-Hoc Networks." In Transportation Systems and Engineering, 272–309. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch013.
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The first main contribution of this chapter is to take a non-trivial step towards providing a robust and scalable solution to privacy protection in vehicular networks. To promote scalability and robustness the authors employ two strategies. First, they view vehicular networks as consisting of non-overlapping subnetworks, each local to a geographic area referred to as a cell. Each cell has a server that maintains a list of pseudonyms that are valid for use in the cell. Each pseudonym has two components: the cell's ID and a random number as host ID. Instead of issuing pseudonyms to vehicles proactively (as virtually all existing schemes do) the authors issue pseudonyms only to those vehicles that request them. This strategy is suggested by the fact that, in a typical scenario, only a fraction of the vehicles in an area will engage in communication with other vehicles and/or with the infrastructure and, therefore, do not need pseudonyms. The second main contribution is to model analytically the time-varying request for pseudonyms in a given cell. This is important for capacity planning purposes since it allows system managers to predict, by taking into account the time-varying attributes of the traffic, the probability that a given number of pseudonyms will be required at a certain time as well as the expected number of pseudonyms in use in a cell at a certain time. Empirical results obtained by detailed simulation confirm the accuracy of the authors' analytical predictions.
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Leligou, Helen C., Periklis Chatzimisios, Lambros Sarakis, Theofanis Orphanoudakis, Panagiotis Karkazis, and Theodore Zahariadis. "An 802.11p Compliant System Prototype Supporting Road Safety and Traffic Management Applications." In Transportation Systems and Engineering, 909–26. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch046.
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During the last decades Intelligent Transportation Systems (ITS) have been attracting the interest of an increasing number of researchers, engineers and entrepreneurs, as well as citizens and civil authorities, since they can contribute towards improving road transport safety and efficiency and ameliorate environmental conditions and life quality. Emerging technologies yield miniaturized sensing, processing and communication devices that enable a high degree of integration and open the way for a large number of smart applications that can exploit automated fusion of information and enable efficient decisions by collecting, processing and communicating a large number of data in real-time. The cornerstone of these applications is the realization of an opportunistic wireless communication system between vehicles as well as between vehicles and infrastructure over which the right piece of information reaches the right location on time. In this paper, the authors present the design and implementation of representative safety and traffic management applications. Specifically the authors discuss the hardware and software requirements presenting a use case based on the NEC Linkbird-MX platform, which supports IEEE 802.11p based communications. The authors show how the functionality of IEEE 802.11p can be exploited to build efficient road safety and traffic management applications over mobile opportunistic systems and discuss practical implementation issues.
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Knapen, Luk, Ansar-Ul-Haque Yasar, Sungjin Cho, and Tom Bellemans. "Agent-Based Modeling for Carpooling." In Transportation Systems and Engineering, 662–88. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch034.
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Modeling activities and travel for individuals in order to estimate traffic demand leads to large scale simulations. Most current models simulate individuals acting in a mutually independent way except for the use of the shared transportation infrastructure. As soon as cooperation between autonomous individuals is accounted for, the individuals are linked to each other in a network structure and interact with their neighbours in the network while trying to achieve their own goals. In concrete traffic-related problems, those networks can grow very large. Optimization over such networks typically leads to combinatorially explosive problems. In this chapter, the case of providing optimal advice to combine carpooling candidates is considered. First, the advisor software structure is explained; then, the characteristics for the carpooling candidates network derived for Flanders (Belgium) are calculated in order to estimate the problem size.
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Cicconetti, Claudio, Raffaella Mambrini, and Alessandro Rossi. "A Survey of Wireless Backhauling Solutions for ITS." In Transportation Systems and Engineering, 1378–92. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8473-7.ch069.
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The deployment of more sustainable land transportation is a non-debatable global issue. It is generally agreed that Information and Communication Technology (ICT) will play the role of the main enabler to achieve the ambitious objective of improving transportation efficiency, thus reducing pollution, time and resource wastage, and accidents. In this chapter, after briefly introducing the general architecture of the ICT infrastructure for the new generation of Intelligent Transportation Systems (ITSs), the authors provide a survey of the wireless technologies available for implementing the data network required to transfer information between the peripheral devices, installed roadside and in the vehicles, and the data center where the actual storage and logic resides. Specifically, they consider the following alternatives: IEEE 802.11 in a Wireless Mesh Network (WMN) configuration, IEEE 802.16/WiMAX, Long Term Evolution (LTE), and HiperLAN/2. The latter is investigated in further details by providing results from preliminary laboratory trials carried out in the Italian project IPERMOB.
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Vasirani, Matteo, and Sascha Ossowski. "Exploring the Potential of Multiagent Learning for Autonomous Intersection Control." In Multi-Agent Systems for Traffic and Transportation Engineering, 280–90. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-226-8.ch013.
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The problem of advanced intersection control is being discovered as a promising application field for multiagent technology. In this context, drivers interact autonomously with a coordination facility that controls the traffic flow through an intersection, with the aim of avoiding collisions and minimizing delays. This is particularly interesting in the case of autonomous vehicles that are controlled entirely by agents, a scenario that will become possible in the near future. In this chapter, the authors seize the opportunities of multiagent learning offered by such a scenario, by introducing a coordination mechanism where teams of agents coordinate their velocities when approaching the intersection in a decentralized way. They show that this approach enables the agents to improve the intersection efficiency, by reducing the average travel time and so contributing to alleviate traffic congestions.
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Desjardins, Charles, Julien Laumônier, and Brahim Chaib-draa. "Learning Agents for Collaborative Driving." In Multi-Agent Systems for Traffic and Transportation Engineering, 240–60. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-226-8.ch011.
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This chapter studies the use of agent technology in the domain of vehicle control. More specifically, it illustrates how agents can address the problem of collaborative driving. First, the authors briefly survey the related work in the field of intelligent vehicle control and inter-vehicle cooperation that is part of Intelligent Transportation Systems (ITS) research. Next, they detail how these technologies are especially adapted to the integration, for decision-making, of autonomous agents. In particular, they describe an agent-based cooperative architecture that aims at controlling and coordinating vehicles. In this context, the authors show how reinforcement learning can be used for the design of collaborative driving agents, and they explain why this learning approach is well-suited for the resolution of this problem.
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Kumar, Korupalli V. Rajesh, K. Dinesh Kumar, Ravi Kumar Poluru, Syed Muzamil Basha, and M. Praveen Kumar Reddy. "Internet of Things and Fog Computing Applications in Intelligent Transportation Systems." In Advances in Computer and Electrical Engineering, 131–50. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0194-8.ch008.
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Self-driving vehicles such as autonomous cars are manufactured mostly with smart sensors and IoT devices with artificial intelligence (AI) techniques. In most of the cases, smart sensors are networked with IoT devices to transmit the data in real-time. IoT devices transmit the sensor data to the processing unit to do necessary actions based on sensor output data. The processing unit executes the tasks based on pre-defined instructions given to the processor with embedded and AI coding techniques. Continuous streaming of sensors raw data to the processing unit and for cloud storage are creating a huge load on cloud devices or on servers. In order to reduce the amount of stream data load on the cloud, fog computing, or fogging technology, helps a lot. Fogging is nothing but the pre-processing of the data before deploying it into the cloud. In fog environment, data optimization and analytical techniques take place as a part of data processing in a data hub on IoT devices or in a gateway.
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Niu, Mingbo, Xiaoqiong Huang, and Hucheng Wang. "Vehicle-To-Anything: The Trend of Internet of Vehicles in Future Smart Cities." In Intelligent Electronics and Circuits - Terahertz, IRS, and Beyond [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105043.
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This chapter includes five parts—the concept of vehicle-to-anything (V2X), introduction of visible light communication (VLC), free-space optical communication (FSO), and terahertz (THz). The first part will present the concept of V2X. V2X is the basis and fundamental technology of future smart cars, autonomous driving, and smart transportation systems. Vehicle-to-network (V2N), vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-people (V2P) are included in V2X. V2X will lead to a high degree of interconnection of vehicles. The concept of VLC is presented in the second part. Intelligent reflecting surface (IRS) for nano-optics and FSO communication is introduced in the third part. At the same time, IRS keeps pace with the phase in communication links. Prospects of THz in glamorous cities are introduced in the fourth part. These new technologies will lead to trends in the future. A comparison of optical communication technology and applications in V2X is described in the fifth part.
Conference papers on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Mehr, Goodarz, and Azim Eskandarian. "Development and Calibration of a Low-Cost Machine Vision Pipeline for Connected and Autonomous Vehicle (CAV) Research." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70836.
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Abstract Autonomous vehicles promise a safer future with a cleaner, more cost-efficient, and more reliable transportation system. However, the current approach to autonomy for vehicles has focused on building small, expensive, disparate intelligences that are closed off to the rest of the world. Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) connectivity can bridge some of that gap through enabling communication between a vehicle and its surrounding environment. This has to be paired with a low-cost approach to perception to enable broader research into and adoption of connected and autonomous vehicles (CAVs). To that end, this paper presents the development and calibration process of a low-cost, easy-to-deploy machine vision pipeline for multiple cameras that does not sacrifice image quality or frame rate. The pipeline is integrated with the CARMA Platform, developed by the FHWA for connected vehicle research.
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Wiklund, Theodore, Mark Heim, Jaret Halberstadt, Michael Duncan, Deven Mittman, Thomas DeAgostino, and Christopher Depcik. "Design and Development of a Cost-Effective LIDAR System for Transportation." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11279.
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Abstract Light Imaging Detection and Ranging (LIDAR) cameras and Light Detecting and Ranging (LiDAR) rangefinders were initially implemented in the 1960s as a higher-resolution and increased capability alternative to radar. Since then, LIDAR and LiDAR (hereto called lidar) have expanded into applications in aerial geographical surveying and collision-detection systems for autonomous vehicles. Current commercial systems are relatively expensive and potentially oversized for noncommercial applications. Consequently, this deters their use on consumer products like bicycles, where lidar systems can enable safety advancements that are necessary to counter the rising numbers of hazards affecting riders. In addition, widespread usage of inexpensive lidar systems can facilitate a more complete picture of our transportation infrastructure by delivering information (e.g., pavement quality) suited for U.S. Department of Transportation Highway Performance Monitoring System (HPMS) reports. This will aid in the creation of a safer infrastructure by highlighting critical areas in need of improvement and repair. As a result, this effort outlines the development of a compact and cost-effective lidar system. The constructed system includes the ability to generate a static image by collecting several hundred thousand distance signals measured by a lidar rangefinder. Since the rangefinder has no self-contained rotation or translation systems, an Arduino Mega 2560 v3 microcontroller operates a pair of stepper motors that adjusts its azimuthal angle and pitch. Coalescing these signals into an ASCII text file for viewing in MATLAB results in a reasonably accurate picture of the surroundings. While the current system takes 1–2 hours to complete a full sweep, it has the potential to provide sufficient accuracy for HPMS reports at a moderate expenditure: the entire system costs less than $300. Finally, upgrading to a more powerful microprocessor, implementing slip rings for enhanced electrical connectivity, and refining the code by including interpolation between points will enable faster point cloud generation while still maintaining an inexpensive device.
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Rampalli, Shyam Sundar, Priyanka Mehta, Pranjal Vyas, Shashwat, and Justin Dauwels. "Redesigning infrastructure for autonomous vehicles and evaluating its impact on traffic." In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS). IEEE, 2020. http://dx.doi.org/10.1109/fists46898.2020.9264863.
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Xue, Dingrui, Nan Yang, Xiangmo Zhao, and Zhen Wang. "Point-cloud Map Update for Connected and Autonomous Vehicles Based on Vehicle Infrastructure Cooperation: Framework and Field Experiments." In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021. http://dx.doi.org/10.1109/itsc48978.2021.9564905.
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Apostol, Andre A., and Cameron J. Turner. "Agent Based Resilient Transportation Infrastructure With Surrogate Adaptive Networks." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22568.
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Abstract Connected autonomous intelligent agents (AIA) can improve intersection performance and resilience for the transportation infrastructure. An agent is an autonomous decision maker whose decision making is determined internally but may be altered by interactions with the environment or with other agents. Implementing agent-based modeling techniques to advance communication for more appropriate decision making can benefit autonomous vehicle technology. This research examines vehicle to vehicle (V2V), vehicle to infrastructure (V2I), and infrastructure to infrastructure (I2I) communication strategies that use gathered data to ensure these agents make appropriate decisions under operational circumstances. These vehicles and signals are modeled to adapt to the common traffic flow of the intersection to ultimately find an traffic flow that will minimizes average vehicle transit time to improve intersection efficiency. By considering each light and vehicle as an agent and providing for communication between agents, additional decision-making data can be transmitted. Improving agent based I2I communication and decision making will provide performance benefits to traffic flow capacities.
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Nakatani, Takuma, Daiki Morikawa, Naoki Harada, Toshiki Hirogaki, and Eiichi Aoyama. "Autonomous Transport System With Taxi-Type Automated Guided Vehicles Based on Transport Density." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-68097.
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Abstract The importance of automated guided vehicles in flexible manufacturing systems is increasing because they can flexibly respond to changes in facilities and factory layouts. Herein, we propose an autonomous conveyance system for automated guided vehicles based on the operation of a taxi transportation system to solve indefinite and accidental problems. The system focuses on the application of traffic engineering knowledge to a flexible taxi transportation system. A taxi is a transport unit in a traffic system, with high adaptability to traveling routes and arrival/departure points. We also propose a task linear density based on transport density, which is an indicator of the scale of transport, such as that of rail transport. We evaluated the efficiency of an automated guided vehicle (AGV) transportation system that introduced waiting and cruising operations, which determine the taxi behavior, using the task linear density. The results indicate that the average matching time and task linear density were negatively correlated and that the transport efficiency improved when the P/Ds were frequently transported to a centralized location.
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Diakov, Victor, Mark Ruth, Michael E. Goldsby, and Timothy J. Sa. "Macro-System Model for Hydrogen Energy Systems Analysis in Transportation." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63815.
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The introduction of hydrogen as an energy carrier for light-duty vehicles involves concomitant technological development of an array of infrastructure elements, such as production, delivery, and dispensing, all associated with energy consumption and emission levels. To analyze these at a system level, the suite of corresponding models developed by the United States Department of Energy and involving several national laboratories is combined in one macro-system model (MSM). The MSM uses a federated simulation framework for consistent data transfer between the component models. The framework is built to suit cross-model as well as cross-platform data exchange and involves features of “over-the-net” computation. While the MSM can address numerous hydrogen systems analysis aspects, of particular interest is the optimal deployment scenario. Depending on user-defined geographic location and hydrogen demand curve parameters, the cost-optimal succession of production/delivery/dispensing pathways undergo significant changes (the most important of these being the transition between distributed and central H2 production with delivery). Some ‘tipping’ (break-even) points are identified.
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Kang, Namwoo, Fred M. Feinberg, and Panos Y. Papalambros. "Autonomous Electric Vehicle Sharing System Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46491.
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Car-sharing services promise “green” transportation systems. Two vehicle technologies offer marketable, sustainable sharing: Autonomous vehicles eliminate customer requirements for car pick-up and return, and battery electric vehicles entail zero-emissions. Designing an Autonomous Electric Vehicle (AEV) fleet must account for the relationships among fleet operations, charging station operations, electric powertrain performance, and consumer demand. This paper presents a system design optimization framework integrating four sub-system problems: Fleet size and assignment schedule; number and locations of charging stations; vehicle powertrain requirements; and service fees. A case study for an autonomous fleet operating in Ann Arbor, Michigan, is used to examine AEV sharing system profitability and feasibility for a variety of market scenarios.
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Jan, Lung En, Junfeng Zhao, Shunsuke Aoki, Anand Bhat, Chen-Fang Chang, and Ragunathan (Raj) Rajkumar. "Speed Trajectory Generation for Energy-Efficient Connected and Automated Vehicles." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3148.
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Abstract Connected and automated vehicles (CAVs) have real-time knowledge of the immediate driving environment, actions to be taken in the near future and information from the cloud. This knowledge, referred to as preview information, enables CAVs to drive safely, but can also be used to minimize fuel consumption. Such fuel-efficient transportation has the potential to reduce aggregate fuel consumption by billions of gallons of gas every year in the U.S. alone. In this paper, we propose a planning framework for use in CAVs with the goal of generating fuel-efficient vehicle trajectories. By utilizing on-board sensor data and vehicle-to-infrastructure (V2I) communications, we leverage the computational power of CAVs to generate eco-friendly vehicle trajectories. The planner uses an eco-driver model and a predictive cost-based search to determine the optimal speed profile for use by a CAV. To evaluate the performance of the planner, we introduce a co-simulation environment consisting of a CAV simulator, Matlab/Simulink and a CAV software platform called the InfoRich Eco-Autonomous Driving (iREAD) system. The planner is evaluated in various urban traffic scenarios based on real-world road network models provided by the National Renewable Energy Laboratory (NREL). Simulations show an average savings of 14.5% in fuel consumption with a corresponding increase of 2% in travel time using our method.
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Pourgol Mohamad, Mohammad, and Amin Pourgol Mohamad. "Safety Technology Advancements for Autonomous Cars; Prospective of Manufacturing, Regulatory and Society." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70802.
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Abstract We have witnessed remarkable technology advancements and competitions in autonomous and connected vehicles. There has been a vigorous technological development effort in the past few years to introduce self-driving smart vehicles for a connected world. If applied correctly, these technologies can enable solutions to help city transportation systems improve the economics of transportation, environmental concerns, and quality of life for everyone. The problem requires a holistic approach. While technological development has been intriguing, competitive, and vigorous, the industry’s advances on the issues of safety, risk, and reliability have been dismal. Despite its limited uses and manufacturers’ stated goal of making autonomous cars demonstrably safer than an average human-controlled car, several accidents and near-misses have already occurred. The mean distance driven to an unsafe condition, near miss or accident has been far shorter than the conventional road vehicles. While the public at large is intrigued about these technologies, the safety concerns are profound. This article is aimed to review the safety of AV systems from design and manufacturing, society and ethics, advancement of the safety/reliability technologies assessing their readiness and a review from academic point of view to understand the area for further research.
Reports on the topic "Transportation systems infrastructure engineering for autonomous vehicles"
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.
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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.
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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, including the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.