Relevant bibliographies by topics / Intersection Collision Avoidance (ICA)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Intersection Collision Avoidance (ICA)'

Author: Grafiati
Published: 3 June 2025
Last updated: 6 July 2025

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Journal articles on the topic "Intersection Collision Avoidance (ICA)"

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Wu, Zhizhou, Xin Zeng, and Haochun Yang. "System-Level Reliability Analysis of Cooperative Driving with V2X Communication for Intersection Collision Avoidance." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 8 (2020): 696–709. http://dx.doi.org/10.1177/0361198120919756.

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Cooperative driving with vehicle-to-everything (V2X) communication is a promising technique to improve traffic safety and efficiency. Intersection collision avoidance (ICA) is a typical safety application of it. This paper analyzes reliability of ICA with cooperative manual driving at the system level. First, the reliability of an ICA system is defined as the probability of the ICA system avoiding collisions or near-misses at intersections without failure under conditions that collisions or near-misses are about to happen. Post-encroachment time is used in the expression of this definition. Then, components of the ICA system are classified into four types: hardware, software, maneuver, and V2X communication, and a reliability block diagram (RBD) is applied to reveal how these components contribute to system reliability. Five ICA system patterns with different V2X communication modes and strategy types are compared based on RBD analysis. This shows that centralized strategies are more reliable than decentralized ones for V2I communication if software reliability of these two strategies is the same. Furthermore, reliabilities of ICA components are analyzed in detail, and they are classified into two categories based on their different impact modes on the system. Finally, a numerical example shows how to test reliability of an ICA system using reliabilities of its components by Monte Carlo simulation. Results show that closer distances from vehicles to their conflict point when alerted, longer driver reaction time, and smaller vehicle deceleration rates are more likely to lead to system failure, whereas communication latency has little effect on it.
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Than, Than Yu. "Rules Based Intersection Collision Avoidance System for V2X Safety." International Journal of Advances in Scientific Research and Engineering (ijasre) 5, no. 10 (2019): 211–20. https://doi.org/10.31695/IJASRE.2019.33562.

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<em>The biggest problem associated with the increased use of private and public transport is the increasing number of accidents on the roads. Most of the intersection collision avoidance systems use vehicle-to-infrastructure communication to avoid accidents at urban intersections. However, they are costly because additional roadside infrastructure must be installed, and they suffer from problem-related to real-time information delivery. The proposed system namely, Rules-based Intersection Collision Avoidance System (RICA) is a novel application using GPS technology for vehicle-to-everything (V2X) safety. The distance to the intersection is calculated and a time-to-intersection index is computed to establish the risk of a collision. The proposed system was achieved through simulations. It is potential as a new intersection collision avoidance system for V2X safety based on vehicular ad hoc network (VANET) communication. The result reveals that the proposed system can effectively prevent the occurrence of traffic crashes at an intersection.</em>
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Kuo, C. C., J. K. Wu, and H. J. Shaw. "Collision Avoidance Schemes for Orthogonal Pipe Routing." Journal of Ship Production 15, no. 04 (1999): 198–206. http://dx.doi.org/10.5957/jsp.1999.15.4.198.

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This paper describes collision detecting and avoidance schemes to automatically lay out piping routes. The overlapping between the boundary boxes of equipment and pipelines is the basis for determining two types of collision: vertex-interference and edge-interference. Three collision-avoidance routing schemes have been developed using the modified adjacency and distance matrices and the line-surface intersection method. This collision avoidance scheme is for orthogonal pipe routing and forms the basis for extension to other routing principles.
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Fu, Yuchuan, Changle Li, Tom H. Luan, Yao Zhang, and Guoqiang Mao. "Infrastructure-cooperative algorithm for effective intersection collision avoidance." Transportation Research Part C: Emerging Technologies 89 (April 2018): 188–204. http://dx.doi.org/10.1016/j.trc.2018.02.003.

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Hankey, Jonathan M., Daniel V. McGehee, Thomas A. Dingus, Elizabeth N. Mazzae, and W. Riley Garrott. "Initial Driver Avoidance Behavior and Reaction Time to an Unalerted Intersection Incursion." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 18 (1996): 896–99. http://dx.doi.org/10.1177/154193129604001806.

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Initial driver avoidance behavior and reaction time to an unexpected intersection incursion was determined using a state-of-the-art motion-based driving simulator (Iowa Driving Simulator). The intersection used for the experiment was on a two-lane rural highway (55 mph speed limit) that controlled perpendicular (crossing) traffic by stop signs. The subject vehicle did not have to stop and had the right-of-way on the highway. At one of three possible start times, an intersecting vehicle began moving into the intersection in front of the subject vehicle. This incurring vehicle intersected from either the driver's left or right side. Ninety-six subjects participated in the study. Subjects in the shortest, most severe collision avoidance situation were significantly slower to react and equally likely to steer or release the accelerator pedal as the initial avoidance maneuver. Subjects in the longest, least severe collision avoidance situation often released the accelerator pedal and braked prior to steering. Gender differences are also discussed.
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Hou, Yew Cheong, Khairul Salleh Mohamed Sahari, Leong Yeng Weng, et al. "Development of collision avoidance system for multiple autonomous mobile robots." International Journal of Advanced Robotic Systems 17, no. 4 (2020): 172988142092396. http://dx.doi.org/10.1177/1729881420923967.

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This article presents a collision avoidance system for multiple robots based on the current autonomous car collision avoidance system. The purpose of the system is to improve the current autonomous car collision avoidance system by including data input of other vehicles’ velocity and positioning via vehicle-to-vehicle communication into the current autonomous car collision avoidance system. There are two TurtleBots used in experimental testing. TurtleBot is used as the robot agent while Google Lightweight Communication and Marshalling is used for inter-robot communication. Additionally, Gazebo software is used to run the simulation. There are two types of collision avoidance system algorithm (collision avoidance system without inter-robot communication and collision avoidance system with inter-robot communication) that are developed and tested in two main road crash scenarios, rear end collision scenario and junction crossing intersection collision scenario. Both algorithms are tested and run both in simulation and experiment setup, each with 10 repetitions for Lead TurtleBot sudden stop, Lead TurtleBot decelerate, Lead TurtleBot slower speed, and straight crossing path conditions. Simulation and experimental results data for each algorithm are recorded and tabulated. A comprehensive comparison of performance between the proposed algorithms is analyzed. The results showed that the proposed system is able to prevent collision between vehicles with an acceptable success rate.
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Németh, Balázs, and Péter Gáspár. "The Design of Performance Guaranteed Autonomous Vehicle Control for Optimal Motion in Unsignalized Intersections." Applied Sciences 11, no. 8 (2021): 3464. http://dx.doi.org/10.3390/app11083464.

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The design of the motion of autonomous vehicles in non-signalized intersections with the consideration of multiple criteria and safety constraints is a challenging problem with several tasks. In this paper, a learning-based control solution with guarantees for collision avoidance is proposed. The design problem is formed in a novel way through the division of the control problem, which leads to reduced complexity for achieving real-time computation. First, an environment model for the intersection was created based on a constrained quadratic optimization, with which guarantees on collision avoidance can be provided. A robust cruise controller for the autonomous vehicle was also designed. Second, the environment model was used in the training process, which was based on a reinforcement learning method. The goal of the training was to improve the economy of autonomous vehicles, while guaranteeing collision avoidance. The effectiveness of the method is presented through simulation examples in non-signalized intersection scenarios with varying numbers of vehicles.
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Yu, Than Than, Tin Maung Wynn, and May Zin Oo. "Rules Based Intersection Collision Avoidance System for V2X Safety." International Journal of Advances in Scientific Research and Engineering 05, no. 10 (2019): 211–20. http://dx.doi.org/10.31695/ijasre.2019.33562.

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ISMAIL B, MOHAMMED, MOHD ABDUL MUQEET, MOHAMMED FAWAD MALIK, and ABDUL KARIM KHAN. "Intersection Cross Traffic Warning System for Vehicle Collision Avoidance." International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 3, no. 11 (2014): 13155–60. http://dx.doi.org/10.15662/ijareeie.2014.0311031.

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Chen, Gang, Dan Liu, Yifan Wang, Qingxuan Jia, and Xiaodong Zhang. "Path planning method with obstacle avoidance for manipulators in dynamic environment." International Journal of Advanced Robotic Systems 15, no. 6 (2018): 172988141882022. http://dx.doi.org/10.1177/1729881418820223.

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Obstacle avoidance is of great importance for path planning of manipulators in dynamic environment. To help manipulators successfully perform tasks, a method of path planning with obstacle avoidance is proposed in this article. It consists of two consecutive phases, namely, collision detection and obstacle-avoidance path planning. The collision detection is realized by establishing point-cloud model and testing intersection of axis-aligned bounding boxes trees, while obstacle-avoidance path planning is achieved through preplanning a global path and adjusting it in real time. This article has the following contributions. The point-cloud model is of high resolution while the speed of collision detection is improved, and collision points can be found exactly. The preplanned global path is optimized based on the improved D-star algorithm, which reduces inflection points and decreases collision probability. The real-time path adjusting strategy satisfies the requirement of reachability and obstacle avoidance for manipulators in dynamic environment. Simulations and experiments are carried out to evaluate the validity of the proposed method, and the method is available to manipulators of any degree of freedom in dynamic environment.
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Dissertations / Theses on the topic "Intersection Collision Avoidance (ICA)"

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Doerzaph, Zachary R. "Development of a Threat Assessment Algorithm for Intersection Collision Avoidance Systems." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/30013.

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Relative to other roadway segments, intersections occupy a small portion of the overall infrastructure; however, they represent the location for nearly 41 % of the annual automotive crashes in the United States. Thus, intersections are an inherently dangerous roadway element and a prime location for vehicle conflicts. Traditional safety treatments are effective at addressing certain types of intersection safety deficiencies; however, cumulative traffic data suggests these treatments do not address a large portion of the crashes that occur each year. Intersection Collision Avoidance Systems (ICAS) represent a new breed of countermeasures that focus on the types of crashes that have not been reduced with the application of traditional methods. Incursion systems, a subset of ICAS, are designed to specifically undertake crashes that are a result of the violation of a traffic control device. Intersection Collision Avoidance Systems to address Violations (ICAS-V) monitor traffic as it approaches the intersection through a network of in-vehicle sensors, infrastructure- mounted sensors, and communication equipment. A threat-assessment algorithm performs computations to predict the driver's intended intersection maneuver, based on these sensor inputs. If the system predicts a violation, it delivers a timely warning to the driver with the aim of compelling the driver to stop. This warning helps the driver to avoid a potential crash with adjacent traffic. The following dissertation describes an investigation of intersection approach behavior aimed at developing a threat assessment algorithm for stop-sign intersections. Data were collected at live intersections to gather infrastructure-based naturalistic vehicle approach trajectories. This data were compiled and analyzed with the goal of understanding how drivers approach intersections under various speeds and environmental conditions. Six stop-controlled intersection approaches across five intersections in the New River Valley, Virginia area were selected as the test sites. Data were collected from each site for at least two months, resulting in over sixteen total months of data. A series of statistical analysis techniques were applied to construct a set of threat assessment algorithms for stop-controlled intersections. These analyses identified characteristics of intersection approaches that suggested driver intent at the stop sign. Models were constructed to predict driver stopping intent based on measured vehicle kinematics. These models were thoroughly tested using simulation and evaluated with signal detection theory. The overall output of this work is a set of algorithms that may be integrated into an ICAS-V for on-road testing.<br>Ph. D.
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Farahmand, Ashil Sayyed. "Cooperative Decentralized Intersection Collision Avoidance Using Extended Kalman Filtering." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/36276.

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Automobile accidents are one of the leading causes of death and claim more than 40,000 lives annually in the US alone. A substantial portion of these accidents occur at road intersections. Stop signs and traffic signals are some of the intersection control devices used to increase safety and prevent collisions. However, these devices themselves can contribute to collisions, are costly, inefficient, and are prone to failure. This thesis proposes an adaptive, decentralized, cooperative collision avoidance (CCA) system that optimizes each vehicle's controls subject to the constraint that no collisions occur. Three major contributions to the field of collision avoidance have resulted from this research. First, a nonlinear 5-state variable vehicle model is expanded from an earlier model developed in [1]. The model accounts for internal engine characteristics and more realistically approximates vehicle behavior in comparison to idealized, linear models. Second, a set of constrained, coupled Extended Kalman Filters (EKF) are used to predict the trajectory of the vehicles approaching an intersection in real-time. The coupled filters support decentralized operation and ensure that the optimization algorithm bases its decisions on good, reliable estimates. Third, a vehicular network based on the new WAVE standard is presented that provides cooperative capabilities by enabling intervehicle communication. The system is simulated against today's common intersection control devices and is shown to be superior in minimizing average vehicle delay.<br>Master of Science
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Yick, King-Yeung 1978. "Design and test of intersection collision avoidance systems for automobiles." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/82790.

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Ahn, Heejin. "Semi-autonomous control of multiple heterogeneous vehicles for intersection collision avoidance." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92228.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 79-80).<br>This paper describes the design of a supervisory controller (supervisor) that manages multiple heterogeneous vehicles, i.e., multiple controlled and uncontrolled vehicles, to avoid intersection collisions. Two main problems are addressed: verification of the safety of all vehicles at an intersection, and management of the inputs of controlled vehicles. For the verification problem, we employ an inserted idle-time scheduling approach, where the "inserted idle-time" is a time interval when the intersection is deliberately held idle for uncontrolled vehicles to safely cross the intersection. For the management problem, we design a supervisor that is least restrictive in the sense that it overrides controlled vehicles only when a safety violation becomes imminent. We analyze computational complexity and propose an efficient version of the supervisor with a quantified approximation bound. To mitigate the abrupt changes of control inputs and to reduce the number of unnecessary interventions, we additionally design two optimization problems and provide the supervisor with a more conservative bound.<br>by Heejin Ahn.<br>S.M.
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Arndt, Owen Kingsley. "Relationship between unsignalised intersection geometry and accident rates." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15815/1/Owen_Arndt_Thesis.pdf.

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The aim of this research is to determine the effect of unsignalised intersection geometry on the rates of the various types of accidents occurring at unsignalised intersections. A literature review has identified that there is little consistency between the results of previous studies. Some studies found that particular parameters had an opposite effect to what was expected. With this in mind, the research identified reasons for these results and developed two basic approaches to mitigate some of the problems with multi-factor type studies. These approaches are 'maximise the efficiency of data collection' and 'develop techniques for analysing less than perfect data'. A database consisting of 206 unsignalised intersection sites from throughout Queensland was used for analysis. The outcome of this research confirms the validity of several of the current design standards for unsignalised intersections, in addition to identifying new engineering procedures.
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Arndt, Owen Kingsley. "Relationship Between Unsignalised Intersection Geometry and Accident Rates." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15815/.

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The aim of this research is to determine the effect of unsignalised intersection geometry on the rates of the various types of accidents occurring at unsignalised intersections. A literature review has identified that there is little consistency between the results of previous studies. Some studies found that particular parameters had an opposite effect to what was expected. With this in mind, the research identified reasons for these results and developed two basic approaches to mitigate some of the problems with multi-factor type studies. These approaches are 'maximise the efficiency of data collection' and 'develop techniques for analysing less than perfect data'. A database consisting of 206 unsignalised intersection sites from throughout Queensland was used for analysis. The outcome of this research confirms the validity of several of the current design standards for unsignalised intersections, in addition to identifying new engineering procedures.
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Huang, Geng S. M. Massachusetts Institute of Technology. "Computation of safety control for hybrid system with applications to intersection collision avoidance system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101543.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-74).<br>In this thesis, I consider the problem of designing a collision avoidance system for the scenario in which two cars approach an intersection from perpendicular directions. One of the cars is a human driven vehicle, and the other one is a semi-autonomous vehicle, equipped with a driver-assist system. The driver-assist system should warn the driver of the semi-autonomous vehicle to brake or accelerate if potential dangers of collision are detected. Then, if the system detects that the driver disobeys the warning, the system can override the behavior of the driver to guarantee safety if necessary. A hybrid automaton model with hidden modes is used to solve the problem. A disturbance estimator is used to estimate the driver's reaction to the warning. Then, with the help of a mode estimator, the hybrid system with hidden modes is translated to a hybrid system with perfect state information. Finally, we generalize the solution for the application example to the solution of safety control problem for general hybrid system with hidden modes when the hybrid system satisfies some proposed constraints and assumptions.<br>by Geng Huang.<br>S.M.
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Hodota, Kenichi. "R&D and deployment valuation of intelligent transportation systems : a case example of the intersection collision avoidance systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35087.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references (p. 147-154).<br>Compared with investments in the conventional infrastructure, those in Intelligent Transportation Technology (ITS) include various uncertainties. Because deployment of ITS requires close public-private partnership, projects concerning the R&D and deployment of ITS technology involve project risks and market risks induced by both the public and private sector. This characteristic makes it difficult to evaluate the value of the project through traditional valuation method such as the benefit cost analysis (BCA) or the discounted cash flow (DCF) method. To address the difficulty, this thesis proposes two appropriate valuation methodologies for R&D and deployment of ITS: decision analysis and "hybrid real options" analysis that combines decision analysis and real option analysis. This thesis applies the proposed methodologies to a case example of the ongoing R&D and deployment project to reduce the automobile crashes at intersection under public-private partnerships. The proposed systems in the project consist of two conflicting concepts; one depends on user acceptance of in-vehicle ITS technology employed, and the other one does not require user acceptance of this ITS technology.<br>(cont.) To evaluate the value of two concepts, this thesis identifies various uncertainties associated with the project and quantifies them by utilizing various quantitative techniques including the product diffusion model to formulate project risks and market risks. This thesis finally compares the financial value in two concepts and demonstrates that the concept without in-vehicle ITS technology is a more promising system for crash prevention at an intersection than that with this technology and recognizes the value of real option in case of the unfavorable outcome of the R&D stage. The results imply that developing attractive new product and obtaining user acceptance of ITS technology are the most crucial factors to influence the project value and future success of the countermeasures.<br>by Kenichi Hodota.<br>S.M.
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Shankar, Kumar Valli Sanghami. "Intersection Collision Avoidance For Autonomous Vehicles Using Petri Nets." Thesis, 2019. http://hdl.handle.net/1805/19980.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Autonomous vehicles currently dominate the automobile field for their impact on humanity and society. Connected and Automated Vehicles (CAV’s) are vehicles that use different communication technologies to communicate with other vehicles, infrastructure, the cloud, etc. With the information received from the sensors present, the vehicles analyze and take necessary steps for smooth, collision-free driving. This the sis talks about the cruise control system along with the intersection collision avoidance system based on Petri net models. It consists of two internal controllers for velocity and distance control, respectively, and three external ones for collision avoidance. Fault-tolerant redundant controllers are designed to keep these three controllers in check. The model is built using a PN toolbox and tested for various scenarios. The model is also validated, and its distinct properties are analyzed.
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Lin, Yueh-ting, and 林岳霆. "Vehicle Collision-avoidance System Combined Location Technology with Intersection-agent." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/64793586908258731083.

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碩士<br>國立中山大學<br>機械與機電工程學系研究所<br>98<br>Nowadays, the location technology in the field of the Intelligent Transformation System (ITS) is used generally. Most of location devices on the cars are low-cost GPS, however, it’s not enough if we want to combine with the safe algorithm. Hence, we present a suit of vehicle collision-avoidance system which combined location technology with Intersection-agent in this thesis. The system uses vehicle sensors and GPS information to calculate in Extend Kalman Filter, in order to get the optimal location information. Furthermore, Map-Matching algorithm is used to match the vehicle location on the right road. As to the driver’s safety, laser range scanner’s data are used in fuzzy algorithm and calculate the safe distance between cars. In the intersection area where accident happened most, we also combine with Intersection-agent system to enhance safety. When moving objects cross through the intersection area, Intersection-agent system would use laser range scanner to find the moving objects’ position and velocity, judging whether they can pass the intersection safely or not. Once it’s not safe, system would send out warning signal to the drivers to brake cars, also, passing the position information to car location system by wireless RS-232 transceiver, to decrease location error and let vehicle’s location precision more accurate. In brief, this thesis combines with vehicle location, wireless transmission, car following warning system and Intersection-agent. And make sure this system we developed can fit in with traffic requirement in many experiments.
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Books on the topic "Intersection Collision Avoidance (ICA)"

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L, Neale Vicki, McGhee Catherine C, Virginia Transportation Research Council, Virginia Polytechnic Institute and State University. Transportation Institute., Virginia. Dept. of Transportation., and United States. Federal Highway Administration., eds. Intersection decision support: Evaluation of a violation warning system to mitigate straight crossing path collisions. Virginia Transportation Research Council, 2006.

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Live stop-controlled intersection data collection. Virginia Transportation Research Council, 2007.

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Book chapters on the topic "Intersection Collision Avoidance (ICA)"

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Bujari, Armir, and Claudio E. Palazzi. "Intersection Collision: Causes and Avoidance Techniques." In Wireless Vehicular Networks for Car Collision Avoidance. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9563-6_7.

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von Eichhorn, Andreas, Peter Zahn, and Dieter Schramm. "A Warning Algorithm for Intersection Collision Avoidance." In Advanced Microsystems for Automotive Applications 2013. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00476-1_1.

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Hu, Mengxia, Wenhui Zhang, Penghui Li, Zhixiao Zheng, and Yibing Li. "Drivers’ Collision Avoidance Pattern Before Imminent Intersection Accidents." In Green Intelligent Transportation Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0302-9_70.

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Riad, Maha, and Fatemeh Golpayegani. "A Normative Multi-objective Based Intersection Collision Avoidance System." In Agents and Multi-Agent Systems: Technologies and Applications 2022. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3359-2_25.

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Pasha, Mohammad, Mohd Umar Farooq, Tahniyat Yasmeen, and Khaleel Ur Rahman Khan. "Vehicular Collision Avoidance at Intersection Using V2I Communications for Road Safety." In Innovations in Computer Science and Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2043-3_4.

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Qiu, Yao, Zhiyuan Yan, Yu Miao, and Zhijiang Du. "Real-Time Collision Avoidance Algorithm for Surgical Robot Based on OBB Intersection Test." In Intelligent Robotics and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65289-4_19.

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Chen, Bijun, Lyuchao Liao, Fumin Zou, and Yuxin Zheng. "Rule-Based Graded Braking for Unsignalized Intersection Collision Avoidance via Vehicle-to-Vehicle Communication." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3308-2_16.

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Conference papers on the topic "Intersection Collision Avoidance (ICA)"

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McCorkendale, Logan, Skyler Hawkins, Shane Nicoll, Jaya Sravani Mandapaka, Zachary McCorkendale, and Kamesh Namuduri. "Collision Avoidance at Intersection Using Vehicle-to-Vehicle Communication." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757509.

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Manwar, Vaishali, Sayali N. Mane, and Manish Sharma. "Intersection collision avoidance in vehicular ad hoc network." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375598.

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Fu, Yuchuan, Changle Li, Bing Xia, Weiwei Dong, Yulong Duan, and Lei Xiong. "A novel warning/avoidance algorithm for intersection collision based on Dynamic Bayesian Networks." In ICC 2016 - 2016 IEEE International Conference on Communications. IEEE, 2016. http://dx.doi.org/10.1109/icc.2016.7511191.

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Rawashdeh, Zaydoun Yahya, and Syed Masud Mahmud. "Intersection Collision Avoidance System Architecture." In 2008 5th IEEE Consumer Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/ccnc08.2007.115.

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Ferlis, Robert A. "Infrastructure Systems for Intersection Collision Avoidance." In Driving Assessment Conference. University of Iowa, 2001. http://dx.doi.org/10.17077/drivingassessment.1078.

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Kaadan, Asaad, and Hazem H. Refai. "iICAS: Intelligent intersection collision avoidance system." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338750.

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Jocoy, Edward H., and Wayne G. Phoel. "Radar sensors for intersection collision avoidance." In Photonics East '96, edited by Alan C. Chachich and Marten J. de Vries. SPIE, 1997. http://dx.doi.org/10.1117/12.267153.

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Kim, Jungsook, and Juwan Kim. "Intersection collision avoidance using Wireless sensor network." In 2009 IEEE International Conference on Vehicular Electronics and Safety (ICVES). IEEE, 2009. http://dx.doi.org/10.1109/icves.2009.5400226.

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Jocoy, Edward H., and John A. Pierowicz. "Threat Detection System for Intersection Collision Avoidance." In International Congress & Exposition. SAE International, 1998. http://dx.doi.org/10.4271/980851.

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Jocoy, Edward H., and John A. Pierowicz. "Threat detection system for intersection collision avoidance." In Intelligent Systems & Advanced Manufacturing, edited by Marten J. de Vries, Pushkin Kachroo, Kaan Ozbay, and Alan C. Chachich. SPIE, 1998. http://dx.doi.org/10.1117/12.300870.

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You might also be interested in the extended bibliographies on the topic 'Intersection Collision Avoidance (ICA)' for particular source types:
Journal articles
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