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Payment Portal Events Careers. Search for:. Try Free. Kyrkou et al. Heat map produce for more robust detection Vehicle count, speed could be determined.

Deep learning technologies are more effective than traditional vision-based algorithm. Ultra-high-resolution videos enables more accurate results compared to low resolution contents. Zhao et al. Mask RCNN approach is used for vehicle detection and recognition.

Complexity introduced due to presence of motorcycles and algorithm can recognize but errors are high in vehicle counts.

Data is extracted using a program that allows recording of manual key board strokes with a time stamp for certain events as the video progresses. Traffic flow dynamics within a green time was captured i. In weak lane-discipline environment traffic flow during green time contains significant variations compared to traffic stream that is characterised as strictly lane-discipline. Traffic flow analysis This section discusses research efforts that advance the use of traffic parameters extraction processes from UAV-based data to further utilising it in various traffic flow analysis method.

Highway infrastructure management Another very important area of application of UAVs technology within the transportation domain is to use them for monitoring and management of highway physical infrastructure. UAV as monitoring tool for bridge inspection Research efforts and field trials-based studies are advocating the case of using UAVs for bridge inspection and monitoring.

Pavement condition and road distresses monitoring Periodic assessment pavement conditions and distress monitoring is usually a norm and therefore, transportation agencies and local governments have the mechanism and inventories in placed so that required repair works are carried out. Wide-scale deployment of UAVs: Barriers, solutions and implications 5. Technological constraints and solutions UAVs operations are limited by their battery life, which causes the shortening of the time UAV can fly and remain in the air.

UAVs future and emerging scenarios in transportation One of the building blocks for any smart city is its reliance on Intelligent transport systems ITSs. Conclusion Recent applications of UAV in the transportation field especially in Road safety, traffic monitoring and highway infrastructure management have been critically reviewed and classified.

References Ahmed A. Examining queue-jumping phenomenon in heterogeneous traffic stream at signalized intersection using UAV-based data. Paper No. Barmpounakis E. Unmanned Aerial Aircraft Systems for transportation engineering: Current practice and future challenges.

How accurate are small drones for measuring microscopic traffic parameters? Part C: Emerg. Lane Detection and lane-changing identification with high-resolution data from a swarm of drones.

Characterization of unpaved road condition through the use of remote sensing project-phase II, deliverable 8-D. Coifman, B. Surface transportation surveillance from unmanned aerial vehicles. In: Proc. Chamola, V. Cheng, P. Detecting and counting vehicles from small low-cost UAV images. Choi, C. Chow J. Dynamic UAV-based traffic monitoring under uncertainty as a stochastic arc-inventory routing policy. Developing an unpaved road assessment system for practical deployment with high-resolution optical data collection using a helicopter UAV.

Elloumi, M. Traffic monitoring on city roads using UAVs. EASA, Gao, H. Automatic Extraction of multi-vehicle trajectory based on traffic videotaping from quadcopter model. In: Applied Mechanics and Materials, vol. Ghazzai, H. On the placement of UAV docking stations for future intelligent transportation systems. Gillins, M. Cost-effective bridge safety inspections using unmanned aircraft systems UAS. In: Geotechnical and Structural Engineering Congress , pp.

Experimental characterization of UAV-to-car communications. Hadiwardoyo, S. Hao, Y. Aggressive Lane-change analysis closing to intersection based on UAV video and deep learning.

IEEE, pp. Heintz, F. From images to traffic behavior-a uav tracking and monitoring application. In: 10th International Conference on Information Fusion. HCM, Highway capacity Manual Iglesias L.

Using small unmanned aerial vehicle in 3D modeling of highways with tree-covered roadsides to estimate sight distance. Remote Sensing. Drones in the Transport System: Acceptability and Integration.

Jenkins, D. Joshi, D. Drone technology uses and applications for commercial, industrial and military drones in and the future. Business Insider Intelligence research report preview of Drones for the Enterprise. Karaduman M. UAV traffic patrolling via road detection and tracking in anonymous aerial video frames.

Motion-vector clustering for traffic speed detection from UAV video. Real-time bidirectional traffic flow parameter estimation from aerial videos. IEEE Trans. Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow. Kellermann R. Drones for parcel and passenger transportation: A literature review.

Unmanned aerial vehicle—based traffic analysis: Methodological framework for automated multivehicle trajectory extraction. Unmanned aerial vehicle-based traffic analysis: A case study for shockwave identification and flow parameters estimation at signalized intersections. Unmanned aerial vehicle-based traffic analysis: A case study to analyze traffic streams at urban roundabouts.

Procedia Comput. Situation control of unmanned aerial vehicles for road traffic monitoring. Modern Appl. How drones become a valuable tool for the auto insurance industry. Knyaz V. Photogrammetric techniques for road surface analysis. Remote Sens. Spatial Inf. Optimized vision-directed deployment of UAVs for rapid traffic monitoring. Kaaniche, K. A vision algorithm for dynamic detection of moving vehicles with a UAV.

Barmpounakis, E. Extracting kinematic characteristics from unmanned aerial vehicles. Braut, V. Estimating OD matrices at intersections in airborne video-a pilot study. Lee, J.

Examining the applicability of small quadcopter drone for traffic surveillance and roadway incident monitoring. Leonardi, G. Springer, Cham, pp. Lin, P. Automatic transformation of video image data from UAVs into traffic information for simulation model calibration. Li, Y. Vehicle extraction using histogram and genetic algorithm based fuzzy image segmentation from high resolution UAV aerial imagery.

Retraction: Li et al. Lei B. New crack detection method for bridge inspection using UAV incorporating image processing. George Mason University; Vehicle tracking by detection in UAV aerial video. Science China Informat. An approach of traffic accident scene reconstruction using unmanned aerial vehicle photogrammetry; pp. Highway Transport. English Edition ; 7 2 — Robotic Syst. Liu X. Real-time uav rerouting for traffic monitoring with decomposition based multi-objective optimization.

UAV image mosaic for road traffic accident scene. Lucic, M. A Generalized dynamic planning framework for green UAV-assisted intelligent transportation system infrastructure.

IEEE Syst. Otero, L. Proof of concept for using unmanned aerial vehicles for high mast pole and bridge inspections No. Research Center. Mehmood, S. Menouar H. UAV-enabled intelligent transportation systems for the smart city: Applications and challenges. IEEE Commun. Routing for continuous monitoring by multiple micro uavs in disaster scenarios. Mozaffari, M. Wireless communication using unmanned aerial vehicles UAVs : Optimal transport theory for hover time optimization.

IEEE Tran. Wireless Commun. Mozaffari M. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. Agent-based simulation of unmanned aerial vehicles in civilian applications: A systematic literature review and research directions.

Future Generat. Artificial intelligence, transport and the smart city: Definitions and dimensions of a new mobility era. A UAV-based traffic monitoring system-invited paper.

Ning Z. Mobile traffic sensor routing in dynamic transportation systems. Springer, Singapore, pp. Accuracy and effectiveness of orthophotos obtained from low cost UASs video imagery for traffic accident scenes documentation.

Use of photogrammetry for investigation of traffic incident scenes No. Raj, C. Vision based accident vehicle identification and scene investigation. Raj A. Peer-to-Peer Networking Appl. Review of Unmanned Aerial System UAS applications in the built environment: Towards automated building inspection procedures using drones.

Gap acceptance analysis in an urban intersection through a video acquired by an UAV. Recent Advances in Civil Engineering and Mechanics, Schechtner K. Un certain Skies? Seo J. Field application of UAS-based bridge inspection. Drone-assisted inspection for automated accident damage estimation: A Deep Learning Approach. Shaghlil, N. Automating highway infrastructure maintenance using unmanned aerial vehicles. In: Construction Research Congress, pp. Sharma, V. Driver behaviour detection and vehicle rating using multi-UAV coordinated vehicular networks, J.

NT Lecture Notes in Networks and Systems, vol. Springer, Cham. Developing an unmanned aerial vehicle-based rapid mapping system for traffic accident investigation. Forensic Sci. Route planning algorithms for unmanned aerial vehicles with refueling constraints. Tan Y. UAV Photogrammetry-based 3D road distress detection.

Damage assessment using advanced non-intrusive inspection methods: integration of space, UAV, GPR, and field spectroscopy. UAV Coach, Your guide to all things drones. Wang W. Expert Syst. Using model aircraft to collect vehicle trajectory data No. Wang L. Detecting and tracking vehicles in traffic by unmanned aerial vehicles. Coupling deep learning and UAV for infrastructure condition assessment automation. Xu, Y. Yin, Z.

Develop a UAV platform for automated bridge inspection No. Mid-America Transportation Center. Zhao, S. A comprehensive overview of improving traffic flow observability using UAVs as mobile sensors. Zhang C. Turning Template for Semi-Trailer with 62 ft [ Prepared for: Frank Jacobson.

Turning Radius. Turning Radius Report. Left Turn Radius. Curb to Curb: Wall to Wall: Right Turn Radius. Assumed steering angle is Exhibit Turning Radius Guidelines for Trucks. The truck shown is a standard truck used by CXT Incorporated. Mar 3, … How do you calculate the turning radius for a vehicle?

   


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