Relevant bibliographies by topics / Road Traffic Scenarios

Contents

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

Academic literature on the topic 'Road Traffic Scenarios'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Road Traffic Scenarios"

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Salomons, Erik, and Michael Dittrich. "Health impact assessment of road traffic noise in the EU in 2020-2035." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 4 (2021): 1977–88. http://dx.doi.org/10.3397/in-2021-2019.

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The negative health effects of road traffic noise in the EU are analyzed over the period 20202035. For a baseline scenario, with autonomous traffic growth and fleet development, it is found that the EU health burden in 2030 is equivalent to the loss of 1.7 million 'healthy life years'. Various noise abatement scenarios are analyzed, with noise solutions such as quiet road surfaces, quiet tyres, and electric vehicles. The health benefits of the scenarios are calculated as healthburden differences from the baseline scenario. The calculation methodology is based on the noise exposure distribution
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Knies, Christian, and Frank Diermeyer. "Data-Driven Test Scenario Generation for Cooperative Maneuver Planning on Highways." Applied Sciences 10, no. 22 (2020): 8154. http://dx.doi.org/10.3390/app10228154.

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Future automated vehicles will have to meet the challenge of anticipating the intentions of other road users in order to plan their own behavior without compromising safety and efficiency of the surrounding road traffic. Therefore, the research area of cooperative driving deals with maneuver-planning algorithms that enable vehicles to behave cooperatively in interactive traffic scenarios. To prove the functionality of these algorithms, single test scenarios are used in the current body of literature. The use of a single, exemplary scenario bears the risk that the presented approach only works
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Buyukkinaci, B., S. Onaygil, O. Guler, and MB Yurtseven. "Road lighting automation scenarios depending on traffic speed and volume." Lighting Research & Technology 51, no. 6 (2018): 910–21. http://dx.doi.org/10.1177/1477153518812536.

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In this study, experimental studies that the authors have previously performed on a test road for fixed observer conditions to determine the visibility levels are extended to the moving observer position. As a result of the measurements and tests, when the vehicle speed is constant at the current speed limits for urban roads, it has been seen that the visibility level values in the calculation area remain within the acceptable limits and changing the luminous fluxes will not significantly change the visual performance of the drivers up to two lower lighting classes. It has been shown that the
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Šinko, Simona, and Roman Gumzej. "Towards Smart Traffic Planning by Traffic Simulation on Microscopic Level." International Journal of Applied Logistics 11, no. 1 (2021): 1–17. http://dx.doi.org/10.4018/ijal.2021010101.

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In this paper the consequences of road closures considering the introduction of a smart city solution, namely traffic simulation on micro level, are analyzed. The use-case comes from the city of Maribor in Slovenia with about 100 thousand inhabitants. To perform the analyses, the open source road traffic simulation package SUMO (simulation of urban mobility) has been employed to analyze the effects of the introduction of traffic regulations in real environment. Using it by experts in a plan-do-check-act loop, multiple scenarios with lesser impact of traffic regulations, as opposed to ad-hoc sc
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Lyu, H., L. Ding, H. Fan, and L. Meng. "THE IMPACT OF LARGE URBAN STRUCTURAL ELEMENTS ON TRAFFIC FLOW   A CASE STUDY OF DANWEI AND XIAOQU IN SHANGHAI." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 14, 2017): 1275–82. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-1275-2017.

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Danwei (working unit) and Xiaoqu (residential community) are two typical and unique structural urban elements in China. The interior roads of Danwei and Xiaoqu are usually not accessible for the public. Recently, there is a call for opening these interior roads to the public to improve road network structure and optimize traffic flow. In this paper we investigate the impact of Danwei and Xiaoqu on their neighbouring traffic quantitatively. By taking into consideration of origins and destinations (ODs) distributions and route selection behaviours (e.g., shortest paths), we propose an extended b
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Velichkovsky, Boris M., Sascha M. Dornhoefer, Mathias Kopf, Jens Helmert, and Markus Joos. "Change detection and occlusion modes in road-traffic scenarios." Transportation Research Part F: Traffic Psychology and Behaviour 5, no. 2 (2002): 99–109. http://dx.doi.org/10.1016/s1369-8478(02)00009-8.

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Ögren, Mikael, Peter Molnár, and Lars Barregard. "Road traffic noise abatement scenarios in Gothenburg 2015 – 2035." Environmental Research 164 (July 2018): 516–21. http://dx.doi.org/10.1016/j.envres.2018.03.011.

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Zheng, Xunjia, Bin Huang, Daiheng Ni, and Qing Xu. "A novel intelligent vehicle risk assessment method combined with multi-sensor fusion in dense traffic environment." Journal of Intelligent and Connected Vehicles 1, no. 2 (2018): 41–54. http://dx.doi.org/10.1108/jicv-02-2018-0004.

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Purpose The purpose of this paper is to accurately capture the risks which are caused by each road user in time. Design/methodology/approach The authors proposed a novel risk assessment approach based on the multi-sensor fusion algorithm in the real traffic environment. Firstly, they proposed a novel detection-level fusion approach for multi-object perception in dense traffic environment based on evidence theory. This approach integrated four states of track life into a generic fusion framework to improve the performance of multi-object perception. The information of object type, position and
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Wu, Song, and Yu Chen Huo. "Study on City T-Junction Design under Optimal Scenarios." Applied Mechanics and Materials 587-589 (July 2014): 2145–50. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2145.

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As the traffic flow is increasing gradually in recent years, a great deal of problems appears at the intersection in China. This existing T-junction has a high morning peak queues on the minor road and a poor safety record for all road users. Under this circumstance, Firstly, we will design and evaluate a traffic signal controlled T-junction by using DMRB guidelines. Furthermore, we will design and evaluate a roundabout by DMRB guidelines and ARCADY. Different components of the traffic flow in this T-junction should be considered in both two designs, such as buses, pedestrians, cyclists and ca
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Herawati, Herawati, and Atik S. Kuswati. "Kajian Pengaturan Rute Perjalanan Berdasarkan Generalized Cost." Warta Penelitian Perhubungan 22, no. 1 (2010): 45–58. http://dx.doi.org/10.25104/warlit.v22i1.995.

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The simulation of travel management st;stem by vehicle emission consideration is using faur stepsmodeling. The congestion existed in cimahi city especially in peak periods c.aused btj the increasing thenumber of private c.ars. Based on the reasons, the study only considers private car passengers as modeof transportation that will be assigned in peak hour periods. To obtain the peak period result, the resultof traffic assignment should be multiplied btj 10.5% for collector road and 9% for arterial road. Thetechnique assignment is used user equilibrium and traffic assignment is run by using gene
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Dissertations / Theses on the topic "Road Traffic Scenarios"

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Andersson, Anna K. "Winter road conditions and traffic accidents in Sweden and UK : present and future climate scenarios [Elektronisk resurs] /." Göteborg : Dept. of Earth Sciences, Physical Geography, University of Gothenburg, 2010. http://hdl.handle.net/2077/21547.

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Tian, Bin. "Data dissemination protocols and mobility model for VANETs." Thesis, Clermont-Ferrand 2, 2016. http://www.theses.fr/2016CLF22739/document.

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Pendant les deux dernières décennies, les technologies de réseaux ad-hoc de véhicules (VANETs : Vehicular Ad-Hoc Networks) ont été développées sous l’impulsion du monde de la recherche comme de l’industrie, étant donnés les liens des VANETs avec la sécurité routière, l’internet des objets (IoT/WoT : Internet of Things/Web of Things) pour les systèmes de transport intelligents (ITS : Intelligent Transportation Systems), les villes intelligentes et les villes vertes. Composant essentiel des VANETs, les protocoles de communication inter-véhicules (IVC : Inter-Vehicle Communication) font face à de
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George, Mathew. "Development of a forecasting model of Indian road traffic scenario to predict road user share, injuries and fatalities." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166130.

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According to the global status report on road safety 2018 by the World Health Organization (WHO), road accidents cause 1.35 million deaths annually world-wide, making it the eight leading cause of death. Road fatalities are caused due to multiple factors including rash driving, unsafe roads and vehicle failures. Developed countries have been able to control the road fatalities with planned infrastructure, safer vehicles and public awareness. According to the WHO report, low income countries own about 1% of the total vehicles but account for 13% of the road fatalities. In this thesis the traffi
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Lin, Dung-Ying. "A dual approximation framework for dynamic network analysis: congestion pricing, traffic assignment calibration and network design problem." 2009. http://hdl.handle.net/2152/6691.

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Dynamic Traffic Assignment (DTA) is gaining wider acceptance among agencies and practitioners because it serves as a more realistic representation of real-world traffic phenomena than static traffic assignment. Many metropolitan planning organizations and transportation departments are beginning to utilize DTA to predict traffic flows within their networks when conducting traffic analysis or evaluating management measures. To analyze DTA-based optimization applications, it is critical to obtain the dual (or gradient) information as dual information can typically be employed as a search directi
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(9375209), Cristhian Lizarazo Jimenez. "IDENTIFICATION OF FAILURE-CAUSED TRAFFIC CONFLICTS IN TRACKING SYSTEMS: A GENERAL FRAMEWORK." Thesis, 2020.

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<p><a>Proactive evaluation of road safety is one of the most important objectives of transportation engineers. While current practice typically relies on crash-based analysis after the fact to diagnose safety problems and provide corrective countermeasures on roads, surrogate measures of safety are emerging as a complementary evaluation that can allow engineers to proactively respond to safety issues. These surrogate measures attempt to address the primary limitations of crash data, which include underreporting, lack of reliable insight into the events leading to the crash, and long data colle
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Book chapters on the topic "Road Traffic Scenarios"

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Wegerle, Dominik, and Michael Schreckenberg. "Route Choice Behaviour in a Three Roads Scenario." In Traffic and Granular Flow '15. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33482-0_71.

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Singh, Pawan, Suhel Ahmad Khan, and Pramod Kumar Goyal. "Evaluation of Topology-Based Routing Protocols for Dissemination of Emergency Messages in Urban Vehicular Traffic Scenarios in India." In Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2764-1.ch003.

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VANET is a subclass of MANET that makes the dream of intelligent transportation systems come true. As per the report of the Ministry of Road Transport and Highways, India, 1.5 million people were killed in road accidents in 2015. To reduce casualty and provide some kind of comfort during the journey, India must also implement VANETs. Applicability of VANET in Indian roads must be tested before implementation in reality. In this chapter, the real maps of Connaught Place, New Delhi from Open Street maps websites is considered. The SUMO for traffic and flow modeling is used. Many scenarios have been used to reflect real Indian road conditions to measure the performance of AODV, DSDV, and DSR routing protocols. The CBR traffic is used for the dissemination of emergency messages in urban vehicular traffic scenarios. The throughput, packet delivery ratio, and end-to-end delay are considered for performance analysis through the NS-2.35 network simulator.
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"Forecasting Road Traffic Growth: Demographic Change and Alternative Policy Scenarios." In Transport Policy and the Environment. Routledge, 2002. http://dx.doi.org/10.4324/9780203022900-10.

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Liu, Mei, Yu Wang, and Wei Yan. "Vulnerability Analysis of Road Networks Based on Hierarchical Models." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200108.

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Road users are always expecting safe, fast, comfortable and predictable journeys both on a daily basis and on special occasions. Damage events that are predictable to a road network are challenges but those with difficulties to foresee are even greater. Vulnerability is critical in dealing with particularly high impact low chance events. In this paper the vulnerability of a road network is quantified to identify the weaknesses in the form of a road network. Theories of topology, structural vulnerability and road traffic are utilized in this paper. Based on the authors’ previous work with modifications for basic concepts and variables, analysis is improved in this paper to include measures for the assessment of the form of both links and vertices. Transmittance of actual traffic flow is firstly considered for the function evaluation of a network. Traffic rerouting and reassignment is incorporated in the identification process of candidate vulnerable failure scenarios. It is proved in this paper that road networks do have weak points, single or combined, where if congested may cause great loss of function to local areas or the entire network. Findings in this paper are strong supportive points of research for the propagation of more delicate-designed and form-improved road networks in urban areas. Adaption of the current work can be made when various practical cases are involved. The vulnerability of traffic networks serving various traffic modes in a city is to be considered as future work.
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Schepperle, Heiko, and Klemens Böhm. "Valuation-Aware Traffic Control." In Multi-Agent Systems for Traffic and Transportation Engineering. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-226-8.ch010.

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Current intersection-control systems lack one important feature: They are unaware of the different valuations of reduced waiting time of the drivers. Drivers with high valuations may be willing to pay to be prioritized at intersections. In this chapter, the authors describe an agent-based valuation-aware intelligent traffic-control system for road intersections which increases the overall driver satisfaction. It combines valuation-aware intersection-control mechanisms with sophisticated driver-assistance features, subsequently referred to as adaptive cruise and crossing control (A3C). Driver-assistance agents and intersection agents negotiate so-called time slots to cross the intersection. The driver-assistance agent adapts the speed of the vehicle in line with the time slot obtained. Various obstacles are in the way of realizing such a system and making it operational. The authors discuss these challenges and present ideas for solutions. They examine the intersection-control and the driver-assistance perspective of the intelligent traffic-control system. After a brief evaluation, they finally describe application scenarios where agent-based valuation-aware intersection control may become operational in the near future.
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Janssens, Gerrit K., Kusuma Soonpracha, Tharinee Manisri, and Anan Mungwattana. "Robust Vehicle Routing Solutions to Manage Time Windows in the Case of Uncertain Travel Times." In Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7258-1.ch021.

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The vehicle routing problem requires mostly meta-heuristics to find approximate solutions. Congestion makes it hard for planners to find good routes because travel times are uncertain. The problem is handled by building scenarios with a range of possible travel times to represent the uncertainty. The main goal is to find a robust solution, which performs “well” in bad scenarios. The experiments show that robust results are obtained in a computationally reasonable time, which means that the concept can be used by practitioners. Most applications are commercial, but also social applications exist. An earthquake or a flood might lead to road disruptions. Higher traffic delays appear due to lower speed on flooded roads or due to time spent on finding alternative routes. Routing like evacuation of wounded or delivery of food is hardly studied. The work is inspired by the 2011 flooding in Thailand.
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Grover, Jyoti. "Vehicular Fog Computing Paradigm." In Advances in Computer and Electrical Engineering. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3981-0.ch009.

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The main objective of vehicular ad hoc networks (VANETs) is to improve driver safety and traffic efficiency. Most VANET applications are based on periodic exchange of safety messages between nearby vehicles and between vehicles and nearby road side communication units (e.g., traffic lights, road-side lights, etc.). This periodic communication generates huge amount of data that have typical storage, computation, and communication resources needs. In recent years, there has been huge developments in automotive industry, computing, and communication technologies. This has led to vehicular cloud computing (VCC) as a solution to satisfy the requirements of VANETs such as computing, storage, and networking resources. Vehicular fog computing (VFC) is a standard that comprehends cloud computing and related services to the proximity of a network. Since VANET applications have special mobility, low latency, and location awareness requirements, fog computing plays a significant role in VANET applications and services. In urban cities, vehicles parked at shopping malls, offices and similar other places are under-utilized. These can offer great opportunity and value to implement applications of VFC by utilizing vehicles as an infrastructure. In this chapter, we present real time scenarios and applications of VANET that can be implemented using VFC. VANET applications and quality of service can be enhanced by aggregating the resources of these vehicles. We discuss different types of scenarios of moving and parked vehicles as computational, communication, storage and network infrastructures. We have also discussed the challenges and open problems to implement VFC system. This chapter provides the thorough understanding of novel research paradigm and about vehicular communication infrastructures.
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Grover, Jyoti. "Vehicular Fog Computing Paradigm." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch087.

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The main objective of vehicular ad hoc networks (VANETs) is to improve driver safety and traffic efficiency. Most VANET applications are based on periodic exchange of safety messages between nearby vehicles and between vehicles and nearby road side communication units (e.g., traffic lights, road-side lights, etc.). This periodic communication generates huge amount of data that have typical storage, computation, and communication resources needs. In recent years, there has been huge developments in automotive industry, computing, and communication technologies. This has led to vehicular cloud computing (VCC) as a solution to satisfy the requirements of VANETs such as computing, storage, and networking resources. Vehicular fog computing (VFC) is a standard that comprehends cloud computing and related services to the proximity of a network. Since VANET applications have special mobility, low latency, and location awareness requirements, fog computing plays a significant role in VANET applications and services. In urban cities, vehicles parked at shopping malls, offices and similar other places are under-utilized. These can offer great opportunity and value to implement applications of VFC by utilizing vehicles as an infrastructure. In this chapter, we present real time scenarios and applications of VANET that can be implemented using VFC. VANET applications and quality of service can be enhanced by aggregating the resources of these vehicles. We discuss different types of scenarios of moving and parked vehicles as computational, communication, storage and network infrastructures. We have also discussed the challenges and open problems to implement VFC system. This chapter provides the thorough understanding of novel research paradigm and about vehicular communication infrastructures.
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Mishra, Sushruta, Shikha Patel, Amiya Ranjan Ranjan Panda, and Brojo Kishore Mishra. "Exploring IoT-Enabled Smart Transportation System." In The IoT and the Next Revolutions Automating the World. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9246-4.ch012.

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Internet of Things (IoT) is a platform that makes a device smart such that every day communication becomes more informative. A Smart Transportation system basically consists of three components which include smart roads, smart vehicles and a smart parking system. Smart roads are used to describe roads that use sensors and IoT technology which makes driving safer and greener. Smart parking system involves an automated system model that can assist the drivers in selecting the suitable parking spot for them. The data that the system collects will be sent for some analysis. It provides real time information to drivers about various aspects of transportation like weather conditions, traffic scenario, road safety, parking space, and many other things. A well-built Smart Transportation system reduces the risk of accidents, improves safety, increases capacity, reduces fuel consumption, and enhances overall comfort and performance for drivers. Our chapter deals with the in-depth discussion of these various aspects of a smart transportation system enabled with IoT technology.
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Mukhopadhyay, Prabir, and Vipul Vinzuda. "Ergonomic Design of a Driver Training Simulator for Rural India." In Encyclopedia of Information Science and Technology, Fourth Edition. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch109.

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Simulator training form an integral part of driver training in rural India. As majority of the simulators are imported from the Western World they do not mimic the actual road conditions of rural India. This often leads to mismatches in the would be drivers perception of the Indian traffic and creates problems later on in their career which is manifested in the form of increased driver errors and at times fatal road accidents. This research looked in the user interface of such simulators from and usability perspective and came up with two concepts for these drivers which closely resembles the Indian rural traffic scenario.
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Conference papers on the topic "Road Traffic Scenarios"

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Wang, Yubin, Jos Vrancken, and Mohsen Davarynejad. "Implementing scenarios coordination for road network traffic control." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642241.

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Shao, Yunli, and Jackeline Rios-Torres. "Traffic Prediction for Merging Coordination Control in Mixed Traffic Scenarios." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3219.

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Abstract Connected and autonomous vehicles (CAVs) have the potential to bring in safety, mobility, and energy benefits to transportation. The control decisions of CAVs are usually determined for a look-ahead horizon based on previewed traffic information. This requires an effective prediction of future traffic conditions and its integration with the CAV control framework. However, the short-term traffic prediction using information from connectivity is a challenging research topic, especially for mixed traffic scenarios. This work focuses on the development of a traffic prediction framework fo
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Dadashova, Bahar. "Simulation Study of the Effect of Decreasing Truck Traffic Flow on Safety on Almeria-Barcelona Corridor." In CIT2016. Congreso de Ingeniería del Transporte. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4214.

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In this paper the effect of truck traffic on road safety has been analyzed through simulation study. The main objective of the study is to quantify the effect of the decreasing average annual daily traffic of heavy duty vehicles (trucks) on road safety. As the road safety indicators the frequency road accidents is considered. The data used in the study were collected from one of the most crowded routes in Spain which connects Almeria (south-east) with Barcelona (northeast). The observed data covers year 2010 and were classified into 2 road types: dual carriageways and toll roads. The estimatio
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Jaswanth, Nidamanuri, Anjali Poornima Karri, and Hrishikesh Venkataraman. "Perceptual Modelling of Unconstrained Road Traffic Scenarios with Deep Learning." In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). IEEE, 2020. http://dx.doi.org/10.1109/acit49673.2020.9208871.

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Younes, Maram Bani, and Azzedine Boukerche. "Safety Traffic Speed Recommendations for Critical Road Scenarios Using Vehicular Networks." In 2018 IEEE International Conference on Communications (ICC 2018). IEEE, 2018. http://dx.doi.org/10.1109/icc.2018.8422932.

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Borrego, C., A. M. Costa, R. Tavares, et al. "Effects of road traffic scenarios on human exposure to air pollution." In AIR POLLUTION 2009. WIT Press, 2009. http://dx.doi.org/10.2495/air090081.

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Hussain, Qinaat, Wael K. M. Alhajyaseen, Kris Brijs, Ali Pirdavani, and Tom Brijs. "Impact of Countdown Ground LED Lights on Traffic Flow Efficiency at Signalized Intersections: A Driving Simulator study." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0236.

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Unnecessary stopping at signalized intersections during yellow interval reduces traffic flow efficiency. The aim of this driving simulator study was to investigate the impact of an advanced countdown system on traffic flow efficiency during yellow interval at signalized intersections. The experiment was conducted using a driving simulator at Qatar Transportation and Traffic Safety Centre, Qatar University. Sixty-seven volunteers with a valid Qatari driving license participated in the study. Three signalized intersections for three scenarios were designed with the north bound of the Corniche ro
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Bank, Dirk. "Short Range Radar Signal Processing for Lateral Collision Warning in Road Traffic Scenarios." In 2007 IEEE Intelligent Vehicles Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ivs.2007.4290100.

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Shao, Yunli, and Zongxuan Sun. "Optimal Eco-Approach Control With Traffic Prediction for Connected Vehicles." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9059.

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This work proposes a unified framework for the eco-approach application that integrates traffic prediction, vehicle optimization, and implementation. The eco-approach application is formulated as either a car-following optimization problem or a single vehicle optimization problem, depending on whether a preceding vehicle exists. The traffic prediction scheme anticipates future traffic conditions and describes the traffic dynamics on the road segment of interest using state variables: traffic flow, density, and speed. With the information enabled by connectivity, the traffic state estimation is
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Akabane, Ademar Takeo, Leandro Aparecido Villas, and Edmundo Roberto Mauro Madeira. "An adaptive solution for data dissemination under diverse road traffic conditions in urban scenarios." In 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2015. http://dx.doi.org/10.1109/wcnc.2015.7127716.

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