Academic literature on the topic 'Road users'
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Journal articles on the topic "Road users"
Petersen, Christine M., and Patricia R. DeLucia. "Perception of Intention in Traffic Environments: A Systematic Review." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 953–57. http://dx.doi.org/10.1177/1071181322661396.
Full textSteinbergs, Raitis, and Maris Kligis. "Improving Traffic Safety By Using Waze User Reports." IOP Conference Series: Materials Science and Engineering 1202, no. 1 (November 1, 2021): 012031. http://dx.doi.org/10.1088/1757-899x/1202/1/012031.
Full textHaddington, Pentti, and Mirka Rauniomaa. "Interaction Between Road Users." Space and Culture 17, no. 2 (December 30, 2013): 176–90. http://dx.doi.org/10.1177/1206331213508498.
Full textČabarkapa, Milenko. "Inclusive road infrastructure safety management in the settlement: An approach to improving the safety of vulnerable road users." Tehnika 75, no. 6 (2020): 777–81. http://dx.doi.org/10.5937/tehnika2006777c.
Full textAhmadi Julaihi, Azlina. "Integrated Speed Bump Detector to notify road users using Internet of Things." Trends in Undergraduate Research 4, no. 2 (December 18, 2021): c1–8. http://dx.doi.org/10.33736/tur.2783.2021.
Full textChoudhary, Pratibha, and Prerana Arora. "Forgiving Roads Design – Way to achieve SDG 3.6." Ecology, Environment and Conservation 28 (2022): 193–97. http://dx.doi.org/10.53550/eec.2022.v28i07s.031.
Full textModipa, Mmakwena. "Exploration of Distracted Road Users in Road Traffic Accidents in South Africa." International Journal of Social Science Research and Review 5, no. 9 (September 9, 2022): 62–74. http://dx.doi.org/10.47814/ijssrr.v5i9.380.
Full textRoundtree, Karina A., Steven Hattrup, Janani Swaminathan, Nicholas Zerbel, Jeffrey Klow, Vivswan Shitole, Abrar Fallatah, Roli Khanna, and Julie A. Adams. "Inclusive Design Guidance: External Autonomous Vehicle Interfaces." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1054–58. http://dx.doi.org/10.1177/1071181320641253.
Full textKishore Kumar, K., Atmakuri Sravan Kumar, Sunkari Amarnadh Gupta, and Sure Venkata Naga Parvesh. "Smart alert for smart transportation." International Journal of Engineering & Technology 7, no. 1.7 (February 5, 2018): 146. http://dx.doi.org/10.14419/ijet.v7i1.7.10637.
Full textDermawan, Widodo Budi, and Dewi Nusraningrum. "ROAD SAFETY CAMPAIGNS TO REDUCE TRAFFIC ACCIDENTS FOR YOUNG ROAD USERS." ICCD 2, no. 1 (November 28, 2019): 601–6. http://dx.doi.org/10.33068/iccd.vol2.iss1.278.
Full textDissertations / Theses on the topic "Road users"
Caviedes, Cómbita Àlvaro Alfonso. "Exploring the Determinants of Vulnerable Road Users' Crash Severity in State Roads." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/4062.
Full textAxelsson, Eva, and Therese Wilson. "Microscopic simulation as an evaluation tool for the road safety of vulnerable road users." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130010.
Full textLau, Mian Mian. "Vulnerable Road Users Detection using Convolutional Deep Feedforward Network." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/83745.
Full textLaubis, Kevin [Verfasser], and C. [Akademischer Betreuer] Weinhardt. "Crowd-Based Road Surface Monitoring and its Implications on Road Users and Road Authorities / Kevin Laubis ; Betreuer: C. Weinhardt." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1176022334/34.
Full textCook, Justine Denise. "Constructing Britain's road network : the scientific governance of British roads and their users, 1900-1963." Thesis, University of Kent, 2018. https://kar.kent.ac.uk/69378/.
Full textSticher, Gayle. "Barriers to the acceptance of road safety programmes among rural road users : developing a brief intervention." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/30372/1/Gayle_Sticher_Thesis.pdf.
Full textSticher, Gayle. "Barriers to the acceptance of road safety programmes among rural road users : developing a brief intervention." Queensland University of Technology, 2009. http://eprints.qut.edu.au/30372/.
Full textFang, Zhijie. "Behavior understanding of vulnerable road users by 2D pose estimation." Doctoral thesis, Universitat Autònoma de Barcelona, 2019. http://hdl.handle.net/10803/667248.
Full textAnticipating the intentions of vulnerable road users (VRUs) such as pedestrians and cyclists can be critical for performing safe and comfortable driving maneuvers. This is the case for human driving and, therefore, should be taken into account by systems providing any level of driving assistance, i.e. from advanced driver assistant systems (ADAS) to fully autonomous vehicles (AVs). In this PhD work, we show how the latest advances on monocular vision-based human pose estimation, i.e. those relying on deep Convolutional Neural Networks (CNNs), enable to recognize the intentions of such VRUs. In the case of cyclists, we assume that they follow the established traffic codes to indicate future left/right turns and stop maneuvers with arm signals. In the case of pedestrians, no indications can be assumed a priori. Instead, we hypothesize that the walking pattern of a pedestrian can allow us to determine if he/she has the intention of crossing the road in the path of the egovehicle, so that the ego-vehicle must maneuver accordingly (e.g. slowing down or stopping). In this PhD work, we show how the same methodology can be used for recognizing pedestrians and cyclists’ intentions. For pedestrians, we perform experiments on the publicly available Daimler and JAAD datasets. For cyclists, we did not found an analogous dataset, therefore, we created our own one by acquiring and annotating corresponding video-sequences which we aim to share with the research community. Overall, the proposed pipeline provides new state-of-the-art results on the intention recognition of VRUs.
Jalew, Esubalew Alemneh. "Fog Computing based traffic Safety for Connected Vulnerable Road Users." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCK057/document.
Full textAnnually, millions of people die and many more sustain non-fatal injuries because of road traffic crashes. Despite multitude of countermeasures, the number of causalities and disabilities owing to traffic accidents are increasing each year causing grinding social, economic, and health problems. Due to their high volume and lack of protective-shells, more than half of road traffic deaths are imputed to vulnerable road users (VRUs): pedestrians, cyclists and motorcyclists. Mobile devices combined with fog computing can provide feasible solutions to protect VRUs by predicting collusions and warning users of an imminent traffic accident. Mobile devices’ ubiquity and high computational capabilities make the devices an important components of traffic safety solutions. Fog computing has features that suits to traffic safety applications as it is an extension of cloud computing that brings down computing, storage, and network services to the proximity of end user. Therefore, in this thesis, we have proposed an infrastructure-less traffic safety architecture that depends on fog computing and mobile devices possessed by VRUs and drivers. The main duties of mobile devices are extracting their positions and other related data and sending cooperative awareness message to a nearby fog server using wireless connection. The fog server estimates collision using a collision prediction algorithm and sends an alert message, if an about-to-occur collision is predicted. Evaluation results shows that the proposed architecture is able to render alerts in real time. Moreover, analytical and performance evaluations depict that the architecture outperforms other related road safety architectures in terms of reliability, scalability and latency. However, before deploying the architecture, challenges pertaining to weaknesses of important ingredients of the architecture should be treated prudently. Position read by mobile devices are not accurate and do not meet maximum position sampling rates traffic safety applications demand. Moreover, continuous and high rate position sampling drains mobile devices battery quickly. From fog computing’s point of view, it confronts new privacy and security challenges in addition to those assumed from cloud computing. For aforementioned challenges, we have proposed new solutions: (i) In order to improve GPS accuracy, we have proposed an efficient and effective two-stage map matching algorithm. In the first stage, GPS readings obtained from smartphones are passed through Kalman filter to smooth outlier readings. In the second stage, the smoothed positions are mapped to road segments using online time warping algorithm. (ii) position sampling frequency requirement is fulfilled by an energy efficient location prediction system that fuses GPS and inertial sensors’ data. (iii) For energy efficiency, we proposed an energy efficient fuzzy logic-based adaptive beaconing rate management that ensures safety of VRUs. (iv) finally, privacy and security issues are addressed indirectly using trust management system. The two-way subjective logic-based trust management system enables fog clients to evaluate the trust level of fog servers before awarding the service and allows the servers to check out the trustworthiness of the service demanders. Engaging omnipresent mobile device and QoS-aware fog computing paradigm in active traffic safety applications has the potential to reduce overwhelming number of traffic accidents on VRUs
Brasile, Claudia. "Users behaviour: the comparison between real and simulated conditions." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Find full textBooks on the topic "Road users"
Agency, Highways. The road user's charter: A charter for motorway and trunk road users. London: Highways Agency, 1994.
Find full textVictoria. Parliament. Road Safety Committee. Road safety for older road users: Report of the Road Safety Committee on the Inquiry into Road Safety for Older Road Users. [Melbourne]: Victorian Government Printer, 2003.
Find full textCaimotto, M. Cristina. Discourses of Cycling, Road Users and Sustainability. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44026-8.
Full textAsogwa, S. E. Road traffic accidents in Nigeria: A handbook for all road users. Enugu: Snaap Press, 1999.
Find full textBowman, Brian L. Investigation of the impact of medians on road users. McLean, Va: U.S. Dept. of Transportation, Federal Highway Administration, 1994.
Find full textOmole, Wale. Accidents on our roads: Causes and prevention : a recommendation for all road users. Mokola, Ibadan: Akinola Books, 1985.
Find full textLandis, Bruce W. Characteristics of emerging road and trail users and their safety. McLean, Va: Turner-Fairbank Highway Research Center, 2004.
Find full textAutomobil-Club, Allgemeiner Deutscher. The protection of children as road users in Europe: Country reports ; legal aspects, statements and recommendations. Munich: FIA Foundation for the Automobile and Society, 2006.
Find full textGreat Britain. Parliament. House of Commons. Transport Committee. Risk reduction for vulnerable road users: Report, together with minutes of proceedings, minutes of evidence, and appendices. London: HMSO, 1996.
Find full textGronau, Reuben. Are Ghana's roads paying their way?: Assessing road use cost and user charges in Ghana. Washington (1818 H St., NW, Washington 20433): Infrastructure and Urban Development Dept., World Bank, 1991.
Find full textBook chapters on the topic "Road users"
Smiley, Alison, and Robert E. Dewar. "Road Users." In Traffic Engineering Handbook, 51–108. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119174738.ch3.
Full textPonsavady, Stéphanie. "Sharing the Road: Road Users." In Cultural and Literary Representations of the Automobile in French Indochina, 99–137. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94559-0_4.
Full textStigson, Helena, Anders Kullgren, and Lars-Erik Andersson. "Rural Road Design According to the Safe System Approach." In The Vision Zero Handbook, 947–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_36.
Full textStigson, Helena, Anders Kullgren, and Lars-Erik Andersson. "Rural Road Design According to the Safe System Approach." In The Vision Zero Handbook, 1–25. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_36-1.
Full textTurnbull, Katherine F. "Automated Shuttles and Buses for All Users." In Road Vehicle Automation 9, 110–19. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11112-9_9.
Full textCzech, Piotr. "Underage Pedestrian Road Users in Terms of Road Accidents." In Advances in Intelligent Systems and Computing, 33–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43991-4_4.
Full textCzech, Piotr. "Physically Disabled Pedestrians—Road Users in Terms of Road Accidents." In Contemporary Challenges of Transport Systems and Traffic Engineering, 157–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43985-3_14.
Full textOwens, Justin M., Ryan Greene-Roesel, Azra Habibovic, Larry Head, and Andrés Apricio. "Reducing Conflict Between Vulnerable Road Users and Automated Vehicles." In Road Vehicle Automation 4, 69–75. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60934-8_7.
Full textOwens, Justin M., Michael Clamann, David Aylor, Stacy A. Balk, Jana Lynott, Maya Pindeus, Amy Rosepiler, Lauren Silverstein, and Francis Gemperle. "Automated Vehicles & Vulnerable Road Users: Representing the Under-Represented." In Road Vehicle Automation 7, 97–107. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52840-9_10.
Full textHill, Ian R. "Forensic Analysis and Data for Road Users." In Crashworthiness of Transportation Systems: Structural Impact and Occupant Protection, 95–111. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5796-4_4.
Full textConference papers on the topic "Road users"
Selvidge, P. "CCTV - a users perspective." In IEE Seminar. CCTV and Road Surveillance. IEE, 1999. http://dx.doi.org/10.1049/ic:19990682.
Full textCarsten, O. M. J. "Can Road Transport Informatics Help Vulnerable Road Users?" In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912855.
Full text"Can road transport informatics help vulnerable road users?" In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205847.
Full textFernandes, Bruno, Henrique Vicente, Jorge Ribeiro, António Capita, Cesar Analide, and José Neves. "Fully Informed Vulnerable Road Users." In iiWAS2019: The 21st International Conference on Information Integration and Web-based Applications & Services. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3366030.3366089.
Full textMoxey, Eddie, Neil Johnson, Michael G. Mccarthy, and William M. Mclundie. "Advanced Protection for Vulnerable Road Users." In SAE 2005 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-1870.
Full textFernandes, Bruno, José Neves, and Cesar Analide. "Road Safety and Vulnerable Road Users - Internet of People Insights." In 6th International Conference on Smart Cities and Green ICT Systems. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006359303110316.
Full textHisaka, Shoma, and Shunsuke Kamijo. "Positioning of road users by RSSI with road surface reflection model." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338725.
Full textOhashi, Satoshi, Mio Aochi, and Akira Shionoya. "Distinguishing Road Surface Conditions for Wheelchair Users." In ACIT 2019: 7th ACIS International Conference on Applied Computing and Information Technology. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3325291.3325377.
Full textMilitaru, Andreea V., Constantin F. Caruntu, and Ciprian R. Comsa. "Application Design Principles for Road Users’ Safety." In 2021 International Symposium on Signals, Circuits and Systems (ISSCS). IEEE, 2021. http://dx.doi.org/10.1109/isscs52333.2021.9497370.
Full textAnaya, Jose J., Edgar Talavera, David Gimenez, Nuria Gomez, Felipe Jimenez, and Jose Eugenio Naranjo. "Vulnerable Road Users Detection Using V2X Communications." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.26.
Full textReports on the topic "Road users"
Williams, Michael, Marcial Lamera, Aleksander Bauranov, Carole Voulgaris, and Anurag Pande. Safety Considerations for All Road Users on Edge Lane Roads. Mineta Transportation Institute, March 2021. http://dx.doi.org/10.31979/mti.2021.1925.
Full textChiavassa, Nathalie, and Raphael Dewez. Technical Note on Road Safety in Haiti. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003250.
Full textBeiker, Sven, ed. Unsettled Issues Regarding Visual Communication Between Automated Vehicles and Other Road Users. SAE International, July 2021. http://dx.doi.org/10.4271/epr2021016.
Full textBeiker, Sven. Unsettled Issues Regarding Communication of Automated Vehicles with Other Road Users. SAE International, November 2020. http://dx.doi.org/10.4271/epr2020023.
Full textLi, Lingxi, Yaobin Chen, Renren Tian, Feng Li, Howell Li, and James R. Sturdevant. An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317440.
Full textTarko, Andrew P., Mario A. Romero, Vamsi Krishna Bandaru, and Cristhian Lizarazo. TScan–Stationary LiDAR for Traffic and Safety Applications: Vehicle Interpretation and Tracking. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317402.
Full textSarofim, Samer, and Aly Tawfik. Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2021.2030.
Full textSarofim, Samer, and Aly Tawfik. Creating Safer Communities for the Use of Active Transportation Modes in California: The Development of Effective Communication Message Strategy for Vulnerable Road Users. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.2030.
Full textJahangiri, Arash, Anagha Katthe, Aryan Sohrabi, Xiaobai Liu, Shashank Pulagam, Vahid Balali, and Sahar Ghanipoor Machiani. Developing a Computer Vision-Based Decision Support System for Intersection Safety Monitoring and Assessment of Vulnerable Road Users. Mineta Transportation Institute, March 2020. http://dx.doi.org/10.31979/mti.2020.1853.
Full textHoare, E. G., N. Clarke, S. Slater, and S. Fu. SHORSEN, SHOrt Range SENsing~Short Range Sensing of Vulnerable Road Users Using Ultra-Wideband Radar and Stereo Vision. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0072.
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