This document describes a framework called DTMon for dynamic traffic monitoring using vehicular ad-hoc networks. DTMon uses task organizers and virtual strips to spatially sample traffic conditions from probe vehicles. It was evaluated using a network simulator and shown to accurately estimate travel time, speed and detect congestion using only forwarding messages. The contributions of DTMon include methods for dynamic traffic monitoring using VANETs, analysis of factors impacting data quality, and demonstrating its usefulness in monitoring congested traffic conditions.
VEHICULAR 2020 Presentation by Kohei HosonoKohei Hosono
Title:
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering Traffic Environment in a Dynamic Map
Author:
Kohei Hosono, Akihiko Maki, Yoichi Watanabe, Hiroaki Takada, Kenya Sato
Affiliation:
Computer and Information Science, Graduate School of Science and Engineering, Doshisha University
Fujitsu Limited
Institutes of Innovation for Future Society, Nagoya University
Mobility Research Center, Doshisha University
Conference:
The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications VEHICULAR 2020
Abstract:
Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efficiency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual traffic environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.
Optimized Traffic Signal Control System at Traffic Intersections Using VanetIOSR Journals
Abstract: Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in
a pre timed slot manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at the
traffic intersection as it doesn’t consider the arrival time of vehicles. To overcome this problem an adaptive and
intelligent traffic control system is proposed in such a way that a traffic signal controller with wireless radio
installed at the intersection and it is considered as an infrastructure. All the vehicles are equipped with onboard
location, speed sensors and a wireless radio to communicate with the infrastructure thereby VANET is formed.
Once the vehicles enter into the boundary of traffic area, they broadcast their positional information as data
packet with their encapsulated ID in it. The controller at the intersection receives the transmitted packets from
all the legs of intersection and then stores it in a temporary log file. Now the controller runs Platooning
algorithm to group the vehicles approximately in equal size of platoons. The platoons are formed on the basis of
data disseminated by the vehicles. Then the controller runs Oldest Job First algorithm which treats platoons as
jobs. The algorithm schedules jobs in conflict free manner and ensures all the jobs utilize equal processing time
i.e the vehicles of each platoons cross the intersection at equal delays. The proposed approach is evaluated
under various traffic volumes and the performance is analyzed.
Keywords Conflict graphs, online job scheduling, traffic signal control, vehicular ad hoc network (VANET)
simulation, vehicle-actuated traffic signal control, Webster’s algorithm.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
VEHICULAR 2020 Presentation by Kohei HosonoKohei Hosono
Title:
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering Traffic Environment in a Dynamic Map
Author:
Kohei Hosono, Akihiko Maki, Yoichi Watanabe, Hiroaki Takada, Kenya Sato
Affiliation:
Computer and Information Science, Graduate School of Science and Engineering, Doshisha University
Fujitsu Limited
Institutes of Innovation for Future Society, Nagoya University
Mobility Research Center, Doshisha University
Conference:
The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications VEHICULAR 2020
Abstract:
Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efficiency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual traffic environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.
Optimized Traffic Signal Control System at Traffic Intersections Using VanetIOSR Journals
Abstract: Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in
a pre timed slot manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at the
traffic intersection as it doesn’t consider the arrival time of vehicles. To overcome this problem an adaptive and
intelligent traffic control system is proposed in such a way that a traffic signal controller with wireless radio
installed at the intersection and it is considered as an infrastructure. All the vehicles are equipped with onboard
location, speed sensors and a wireless radio to communicate with the infrastructure thereby VANET is formed.
Once the vehicles enter into the boundary of traffic area, they broadcast their positional information as data
packet with their encapsulated ID in it. The controller at the intersection receives the transmitted packets from
all the legs of intersection and then stores it in a temporary log file. Now the controller runs Platooning
algorithm to group the vehicles approximately in equal size of platoons. The platoons are formed on the basis of
data disseminated by the vehicles. Then the controller runs Oldest Job First algorithm which treats platoons as
jobs. The algorithm schedules jobs in conflict free manner and ensures all the jobs utilize equal processing time
i.e the vehicles of each platoons cross the intersection at equal delays. The proposed approach is evaluated
under various traffic volumes and the performance is analyzed.
Keywords Conflict graphs, online job scheduling, traffic signal control, vehicular ad hoc network (VANET)
simulation, vehicle-actuated traffic signal control, Webster’s algorithm.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Autonomous Traffic Signal Control using Decision Tree IJECEIAES
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.
Improving traffic and emergency vehicle clearance at congested intersections ...IJECEIAES
Traffic signals play an important role in controlling and coordinating the traffic movement in cities especially in urban areas. As the traffic is exponentially increasing in cities and the pre-timed traffic light control is insufficient in effective timing of the traffic lights, it leads to poor traffic clearance and ultimately to heavy traffic congestion at intersections. Even the Emergency vehicles like Ambulance and Fire brigade are struck at such intersections and experience a prolonged waiting time. An adaptive and intelligent approach in design of traffic light signals is desirable and this paper contributes in applying fuzzy logic to control traffic signal of single four-way intersection giving priority to the Emergency vehicle clearance. The proposed control system is composed of two parallel controllers to select the appropriate lane for green signal and also to decide the appropriate green light time as per the real time traffic condition. Performance of the proposed system is evaluated by using simulations and comparing with pre-timed control system in changing traffic flow condition. Simulation results show significant improvement over the pre-timed control in terms of traffic clearance and lowering of Emergency vehicle wait time at the intersection especially when traffic intensity is high.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Positioning improvements for Intelligent Transportation Systems (ITS)Bastien Terret
Here is a presentation made for a seminar during my training at the university RWTH Aachen.
This is about solutions found to improve positioning systems for transportation systems.
Feel free to contact me.
In the present scenario, research conducted is mostly based on determining the duration of green light.
Moreover the research papers published on Adaptive Traffic Management did not focus much on the
concept of handling Emergency Vehicles. This major role of this project is as a continuation to the
existing research papers published on this topic. Here we not only handle traffic effectively but also
elaborate on effective management of highly prioritized vehicles through all possible phases. In this
particular research paper, Wireless Sensor Networks (WSN) is assumed to be the source of input.
Improvements in information technology related technologies are encouraging and enabling greater use of public transportation and they are enabling new forms of transportation systems that have lower carbon emissions and use less resources. Improvements in information-related technologies such as mobile phones and GPS encourage greater use of public buses, bicycle sharing systems, and trains. These same improvements are making autonomous vehicles economically feasible and roads dedicated to them. Roads dedicated to them can reduce congestion, increase fuel efficiency, and reduce accidents and costs related to them. In combination with public transportation, autonomous vehicles can reduce the need for private vehicles and thus parking spaces. Similar types of improvements in power electronics are reducing the cost and improving the performance of charging stations and thus enable more rapid recharging with a denser number of charging stations. This rapid and more frequent recharging can overcome the existing bottleneck of lower battery storage densities and slow improvements in these storage densities. Overall, improvements in information technology are making possible new forms of sustainable systems that have a much higher chance of becoming economically feasible than more commonly discussed solutions such as hybrid vehicles and wind turbines.
PTV Vissim is rounded off with comprehensive analysis options, creating a powerful tool for the evaluation and planning of urban and extra-urban transport infrastructure.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Autonomous Traffic Signal Control using Decision Tree IJECEIAES
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.
Improving traffic and emergency vehicle clearance at congested intersections ...IJECEIAES
Traffic signals play an important role in controlling and coordinating the traffic movement in cities especially in urban areas. As the traffic is exponentially increasing in cities and the pre-timed traffic light control is insufficient in effective timing of the traffic lights, it leads to poor traffic clearance and ultimately to heavy traffic congestion at intersections. Even the Emergency vehicles like Ambulance and Fire brigade are struck at such intersections and experience a prolonged waiting time. An adaptive and intelligent approach in design of traffic light signals is desirable and this paper contributes in applying fuzzy logic to control traffic signal of single four-way intersection giving priority to the Emergency vehicle clearance. The proposed control system is composed of two parallel controllers to select the appropriate lane for green signal and also to decide the appropriate green light time as per the real time traffic condition. Performance of the proposed system is evaluated by using simulations and comparing with pre-timed control system in changing traffic flow condition. Simulation results show significant improvement over the pre-timed control in terms of traffic clearance and lowering of Emergency vehicle wait time at the intersection especially when traffic intensity is high.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Positioning improvements for Intelligent Transportation Systems (ITS)Bastien Terret
Here is a presentation made for a seminar during my training at the university RWTH Aachen.
This is about solutions found to improve positioning systems for transportation systems.
Feel free to contact me.
In the present scenario, research conducted is mostly based on determining the duration of green light.
Moreover the research papers published on Adaptive Traffic Management did not focus much on the
concept of handling Emergency Vehicles. This major role of this project is as a continuation to the
existing research papers published on this topic. Here we not only handle traffic effectively but also
elaborate on effective management of highly prioritized vehicles through all possible phases. In this
particular research paper, Wireless Sensor Networks (WSN) is assumed to be the source of input.
Improvements in information technology related technologies are encouraging and enabling greater use of public transportation and they are enabling new forms of transportation systems that have lower carbon emissions and use less resources. Improvements in information-related technologies such as mobile phones and GPS encourage greater use of public buses, bicycle sharing systems, and trains. These same improvements are making autonomous vehicles economically feasible and roads dedicated to them. Roads dedicated to them can reduce congestion, increase fuel efficiency, and reduce accidents and costs related to them. In combination with public transportation, autonomous vehicles can reduce the need for private vehicles and thus parking spaces. Similar types of improvements in power electronics are reducing the cost and improving the performance of charging stations and thus enable more rapid recharging with a denser number of charging stations. This rapid and more frequent recharging can overcome the existing bottleneck of lower battery storage densities and slow improvements in these storage densities. Overall, improvements in information technology are making possible new forms of sustainable systems that have a much higher chance of becoming economically feasible than more commonly discussed solutions such as hybrid vehicles and wind turbines.
PTV Vissim is rounded off with comprehensive analysis options, creating a powerful tool for the evaluation and planning of urban and extra-urban transport infrastructure.
Analyzing Web Crawler as Feed Forward Engine for Efficient Solution to Search...M. Atif Qureshi
My presentation slides for paper presented in International Conference on Information Science and Applications, ICISA, Seoul 2010.
Paper link: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5480411&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5480411
Intelligent Highway Infrastructure for Planned EvacuationsMichele Weigle
Michele C. Weigle and Stephan Olariu, “Intelligent Highway Infrastructure for Planned Evacuations,” In Proceedings of the First International Workshop on Research Challenges in Next Generation Networks for First Responders and Critical Infrastructures (NetCri). New Orleans, LA, April 2007, pp. 594–599.
Archive What I See Now - 2014 NEH ODH OverviewMichele Weigle
"Archive What I See Now": Bringing Institutional Web Archiving Tools to the Individual Researcher
Slides from 2014 NEH ODH Project Directors' Meeting
September 15, 2014
Michele C. Weigle, Michael L. Nelson, Liza Potts
Identifying and ranking topic clusters in the blogosphereM. Atif Qureshi
Slides presented in COLING 2010 workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources.
Paper link: http://www.aclweb.org/anthology/W/W10/W10-3507.pdf
A Traffic Chaos Reduction Approach for Emergency ScenariosMichele Weigle
Syed Rizvi, Stephan Olariu, Mona Rizvi and Michele C. Weigle, “A Traffic Chaos Reduction Approach for Emergency Scenarios,” In Proceedings of the First International Workshop on Research Challenges in Next Generation Networks for First Responders and Critical Infrastructures (NetCri). New Orleans, LA, April 2007, pp. 576–578.
Data Aggregation and Dissemination in Vehicular Ad-Hoc NetworksMichele Weigle
Khaled Ibrahim's PhD Defense Slides
Department of Computer Science
Old Dominion University
February 21, 2011
Note: You may need to download the file to see all of the animations.
Master's Thesis Defense: Improving the Quality of Web Spam Filtering by Using...M. Atif Qureshi
My Master's thesis defense slides for Master's thesis, research for which was conducted under Prof. Kyu-Young Whang and successfully defended in KAIST, Computer Science Dept. on 16th December, 2010.
A Virtual Infrastructure for Mitigating Typical Challenges in Sensor NetworksMichele Weigle
Hady Abdel-Salem's PhD Defense Slides
Department of Computer Science
Old Dominion University
November 1, 2010
Note: You may need to download the file to see all of the animations.
Investigating the Use of Synchronized Clocks in TCP Congestion ControlMichele Weigle
My PhD defense
May 14, 2003
University of North Carolina, Chapel Hill
Investigating the Use of Synchronized Clocks in TCP Congestion Control
Advisor: Kevin Jeffay
Presented by Michele C. Weigle, June 4, 2015
Columbia University Web Archiving Collaboration: New Tools and Models
Work by Yasmin AlNoamany, Michele C. Weigle, and Michael L. Nelson
Using DTMon to Monitor Transient Flow Traffichadiarbabi
We evaluate the performance of the DTMon dynamic traffic monitoring system to measure travel times and speeds in transient flow traffic caused by non-recurring congestion. DTMon uses vehicular networks and roadside infrastructure to collect data from passing vehicles. We show DTMon's ability to gather high-quality real-time traffic data such as travel time and speed. These metrics can be used to detect transitions in traffic flow (e.g., caused by congestion) especially where accurate flow rate information is not available. We evaluate the accuracy and latency of DTMon in providing traffic measurements using two different methods of message delivery. We show the advantages of using dynamically-defined measurement points for monitoring transient flow traffic. We compare DTMon with currently in-use probe-based systems (e.g., AVL) and fixed-point sensors and detectors (e.g., ILD).
Using DTMon to Monitor Free Flow Traffichadiarbabi
We present DTMon, a dynamic traffic monitiroing system using vehicular networks, and analyze its performance in free flow (i.e., non-congested) traffic. DTMon uses roadside infrastructure to gather and report current traffic conditions to traffic management centers and equipped vehicles. We analyze how traffic characteristics such as speed, flow rate, percentage of communicating vehicles, and distance from the DTMon measurement point to the roadside infrastructure affects the amount and quality of data that can be gathered and delivered. We evaluate five different methods of delivering data from vehicles to the roadside infrastructure, including pure vehicle-to-vehicle communication, store-and-carry, and hybrid methods. Methods that employ some amount of store-and-carry can increase the delivery rate, but also increase the message delay. We show that with just a few pieces of roadside infrastructure, DTMon can gather high-quality travel time and speed data even with a low percentage of communicating vehicles.
Ben Pierce is an industry expert in the emerging field of autonomous and connected vehicles (AV/CV). Based in Columbus, Ohio, Ben is a national thought leader drawing on more than 25 years of experience with transportation technology. Ben’s vision and understanding of transportation technology made him a key contributor to Columbus, Ohio’s successful Smart City Challenge application.
Lately, the concept of VANETs (Vehicular Ad hoc Networks) has gotten a huge attention as
more wireless communication technologies becoming available. Such networkis expected to be
one of the most valuable technology for improving efficiency and safety of the future
transportation. Vehicular networks are characterized by high mobility nodes which pose many
communication challenging problems. In vehicular networks, routing Collision Avoidance
Messages (CAMs) among vehicles is a key communication problem.Failure in routing CAMs to
their intended destination within the time constraint can render these messages useless. Many
routing protocols have been adapted for VANETs, such as DSDV (Destination Sequenced
Distance Vector), AODV (Ad-hoc On demand Distance Vector), and DSR (Dynamic Source Routing). This work compares the performance of those routing protocols at different driving environments and scenarios created by using the mobility generator (VanetMobiSim) and
network simulator(NS2). The obtained results at different vehicular densities, speeds, road
obstacles, lanes, traffic lights, and transmission ranges showed that on average AODV protocol outperforms DSR and DSDV protocols in packet delivery ratio and end-toend delay. However, at certain circumstances (e.g., at shorter transmission ranges) DSR tends to have better performance than AODV and DSDV protocols.
A VISION-BASED REAL-TIME ADAPTIVE TRAFFIC LIGHT CONTROL SYSTEM USING VEHICULA...JANAK TRIVEDI
In India, traffic control management is a difficult task due to an increment in the number of vehicles for the same infrastructure and systems. In the smart-city project, the Adaptive Traffic Light Control System (ATLCS) is one of the major research concerns for an Intelligent Transportation System (ITS) development to reduce traffic congestion and accidents, create a healthy environment, etc. Here, we have proposed a Vehicular Density Value (VDV) based adaptive traffic light control system method for 4-way intersection points using a selection of rotation, area of interest, and Statistical Block Matching Approach (SBMA). Graphical User Interface (GUI) and Hardware-based results are shown in the result section. We have compared, the normal traffic light control system with the proposed adaptive traffic light control system in the results section. The same results are verified using a hardware (raspberry-pi) device with different sizes, colors, and shapes of vehicles using the same method.
Enhancing Traffic Intersection Control with Intelligent ObjectsRudi Ball
Presented at the Urban Internet of Things 2010 - Tokyo, Japan. 28th November 2010.
Abstract: Traffic control is an old and ever growing problem in cities throughout the world. Within many cities, intersections represent bottlenecks in the flow of traffic. Evaluating intersections control is complex and difficult. Given this, intersection management is both costly and time consuming. This paper considers the potential benefits of enhancing the traffic intersection with the use of intelligent objects in vehicles. We present, compare and demonstrate a novel Vehicle Back-Off Protocol against a classical Timed Traffic Control system. Our protocol uses ad-hoc messaging, collision avoidance and shared journey plans as a means by which to reduce delay, adapt a journey and maximize the efficient usage of a traffic intersection. We use simulation to model and evaluate intersection control.
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...European Data Forum
Industry Keynote Talk by Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany at the European Data Forum 2014, 20 March 2014 in Athens, Greece: Probe Data Analytics and Processing for Traffic Information, Traffic Planning and Traffic Management.
Smart Cities are urban environments in which, the stream of data coming from very different observational networks is managed and integrated in order to efficiently improve public services and the life quality of the citizens.
Focusing on smart mobility, we present as proof of concept the case study of Crema (in collaboration with SIMET – Gruppo ENERCOM), where a coupled traffic and air quality measurement system was developed to real-time monitoring the traffic composition (vehicles categories) and its related emission of pollutants.
The developed tool represents a data-driven decision-making support that can be used for urban planning, traffic optimization and pollution control.
Accident Avoidance and Privacy-Preserving in V2R Communication using Chord Al...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Predictive Data Dissemination in VanetDhruvMarothi
The vehicle itself is an information source that produces a large amount of various information including actual vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs possesses major issues. In this dynamic environment, an ever-growing number of context dissemination messages are leveling up the usage of the channel which affects the network performance. This presentation tries to analyze and assess the key ideas of how to overcome the context data dissemination and how to reduce the amounts of transferred and stored data in a vehicular cooperation environment. This is one of the most prominent topics of pervasive computing.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Detection of Sybil attack in vehicular ad hoc networks by analyzing network ...IJECEIAES
Vehicular ad hoc network (VANET) is an emerging technology which can be very helpful for providing safety and security as well as for intelligent transportation services. But due to wireless communication of vehicles and high mobility it has certain security issues which cost the safety and security of people on the road. One of the major security concerns is the Sybil attack in which the attacker creates dummy identities to gain high influence in the network that causes delay in some services and fake voting in the network to misguide others. The early detection of this attack can prevent people from being misguided by the attacker and save them from getting into any kind of trap. In this research paper, Sybil attack is detected by first applying the Poisson distribution algorithm to predict the traffic on the road and in the second approach, analysis of the network performance for packet delivery ratio (PDR) is performed in malign and benign environment. The simulation result shows that PDR decreases in presence of fake vehicles in the network. Our approach is simple and effective as it does not require high computational overhead and also does not violate the privacy issues of people in the network.
Compressed fuzzy logic based multi-criteria AODV routing in VANET environmentIJECEIAES
Vehicular ad hoc networks (VANETs) are the core of intelligent transportation systems (ITS) to obtain safety, better transportation services, and improved traffic management. Providing more reliable and efficient on demand routing protocol is one of the main challenges in these networks research scope. This paper argues a compressed fuzzy logic based method to enhance Ad hoc on demand distance vector (AODV) routing decision by jointly considering number of relays, distance factor, direction angle, and vehicles speed variance. The proposed scheme is simulated in both freeway and urban scenarios with different number of vehicles using real time interaction between both OMNet++ and SUMO simulators. Simulation results show that the proposed approach can get better performance in terms of packet delivery ratio, throughput, mean delay, and number of sent control packets.
Similar to A Framework for Dynamic Traffic Monitoring Using Vehicular Ad-Hoc Networks (20)
Comparing the Archival Rate of Arabic, English, Danish, and Korean Language W...Michele Weigle
Based on work published in ACM Transactions on Information Systems (TOIS), 36(1), July 2017 by Lulwah Alkwai, Michael L. Nelson, and Michele C. Weigle
Presented at ACM SIGIR 2019 on July 24, 2019 by Michele C. Weigle
WS-DL’s Work towards Enabling Personal Use of Web ArchivesMichele Weigle
Talk given at Library of Congress by Michele C. Weigle (@weiglemc)
December 18, 2018
Web Science and Digital Libraries (WS-DL) Research Group (@WebSciDL)
Old Dominion University
Norfolk, VA
Keynote talk presented at Web Archiving and Digital Libraries (WADL) 2018
June 6, 2018 - Fort Worth, TX
Michele C. Weigle (@weiglemc)
Web Science and Digital Libraries (WS-DL) Research Group (@WebSciDL)
Old Dominion University
Norfolk, VA
My academic story as told through the Internet Archive's Wayback Machine.
Slides from my keynote presentation at the Southeast Women in Computing Conference, November 16, 2013
Full talk slides at http://www.slideshare.net/mweigle/telling-stories-with-web-archives
A Retasking Framework For Wireless Sensor NetworksMichele Weigle
Presented by Yang He
Military Communications Conference (MILCOM)
October 6-8, 2014
Baltimore, MD
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A Framework for Dynamic Traffic Monitoring Using Vehicular Ad-Hoc Networks
1. Hadi Arbabi PhD in Computer Science Department Of Computer Science Old Dominion University Advisor: Dr. Michele C. Weigle M.S. in Computer Science Old Dominion University, May 2007 Advisor: Dr. Stephan Olariu B.S. in Computer Engineering Shiraz University , June 2001 A FRAMEWORK FOR DYNAMIC TRAFFIC Monitoring USING VEHICULAR AD-HOC NETWORKs
2. Content INTRODUCTION Traffic Monitoring and Technologies in Use Motivations and Our Approach DTMon: Dynamic Traffic Monitoring Components Deployment Investigation Analysis EVALUATION Free-Flow Traffic Transient Flow Traffic Traffic with Congestion CONCLUSION CONTRIBUTIONS Hadi Arbabi marbabi@cs.odu.edu 2
3. Introduction Traffic Monitoring Vehicle classification Count information Flow rate Volume Density Traffic speed Time mean speed (TMS) Space mean speed (SMS) Travel time (TT) Hadi Arbabi marbabi@cs.odu.edu 3 Traffic Management Center (TMC)
4. Monitoring Techniques Spatial Probing (Sensing) Fixed Point Sensors and Detectors Inductive loop detectors (ILDs) Acoustic sensors Microwave radar sensors Video cameras Hadi Arbabi marbabi@cs.odu.edu 4 Adv.:Speed (TMS), flow rate, volume, density Disadv.:Static, locations must be carefully chosen in advance, no travel times
5. Monitoring Techniques Temporal Probing Probe vehicle-based system Automatic vehicle location (AVL) Wireless location technology (WLT) Hadi Arbabi marbabi@cs.odu.edu 5 e.g., probing vehicles every 5, 10, 15, 30, or 60 seconds Adv.:Real-time monitoring, travel times, speed (SMS) Disadv.:Affected by market penetration rate, hard to extrapolate some stats, must interpolate to estimate stats at a particular location
6.
7. Fixed point sensors and detectors cannot estimate travel time and space mean speed and they are not flexible
9. Trend toward probe vehicle-based systemsHow can vehicular ad-hoc networks (VANETs) be used? Requires investigations Augment current technologies? Hadi Arbabi marbabi@cs.odu.edu 6 Investigation
10. Related Work NOTICE (Abuelela et. al, IEEE (VTC), 2008) VANETs + Belts CarTel(Hull et. al, SenSys, 2006) Uses cell phones and cars as nodes in a dynamic sensor network TrafficView(Nadeem, IEEE (MDM), 2004) Scalable traffic monitoring system for inter-vehicle communication considering road conditions GEMS project (http://www.path.berkeley.edu) Based on AVL and WLT technologies Mobile Millennium project (http://traffic.berkeley.edu) Cell phones Nirecell(ACM SenSys 2008) Smart phones Traffic.com, Inrix, etc. Deployed microwave radar sensors and acoustic sensors in combination with data collected by DOT sensors Hadi Arbabi marbabi@cs.odu.edu 7
11. OUR APPROACHDynamic Traffic Monitoring (DTMon) DTMon - A probe vehicle-based system using VANET and dynamically defined points of interest on the road Task Organizers (TOs) Vehicles Virtual Strips (VS) Imaginary lines or points Hadi Arbabi marbabi@cs.odu.edu 8 *A dynamic spatial probing without disadvantages of temporal probing
12. Task Organizer and Virtual Strips Hadi Arbabi marbabi@cs.odu.edu 9 Virtual Strip TO Virtual Segment Medium Virtual Strip TMC
13. Task Organizer (TO) Communicates with passing vehicles Assigns measurement tasks Collects reports from the vehicles Organizes received measurements Informs upcoming traffic conditions Multiple TOs (also can be moveable) Centralized Aggregate information about the whole region Hadi Arbabi marbabi@cs.odu.edu 10
14. Vehicles Equipped GPS and DSRC communications device CPU and Required Applications Record Speed GPS Position Travel Direction Timestamp Classification, Route Number, and … Receive tasks from a TO Triggered at a specific time, speed, or location Report (or Message) Forwarded to the listed TOs Stored and carried to the next available TO Hadi Arbabi marbabi@cs.odu.edu 11 Type: Volume-Speed-Travel-Time Delivery Method: Forwarding (RF) Source TO: TOA (xa,ya, za) Target TO: TOA(xa,ya, za) Target Strips: VS1(X1, Y1, Z1),VS2,VS3,... A Sample Task from A TO A Sample Header of A Message or A Report
15. Deployment Multiple VS and Segments Dynamically Defined Multiple TOs Hadi Arbabi marbabi@cs.odu.edu 12 Type: Volume-Speed Delivery Method: Store-and-Carry (SAC) Source TO: TOA (xa,ya, za) Target TO: TOB (xb,yb, zb) Target Strips: VS1,VS2,VS3,... A Sample Task From TO to Vehicles
16. Investigation Amount of Information Delivered to TO Market Penetration Rate (PR) Message Reception Rate (MRR) Information Reception Rate (IRR) IRR ≈ MRR x PR Various Traffic Characteristics Traffic conditions (speed, flow, density) Inter-Vehicle Spacing Distance to TO Transmission Range Message Delay (and Latency) Quality of Traffic data Delivery Methods, Type of Data, etc. Hadi Arbabi marbabi@cs.odu.edu 13 MRR for a VS = #MSG Recv. / #MSG Generated IRR for a VS = #MSG Recv. / #Vehicles Passed
17. Message Reception Hadi Arbabi marbabi@cs.odu.edu 14 B = inter-vehicle spacing p = penetration rate S = mean speed v = flow rate Ep = inter-vehicle spacing of equipped vehicles R0 = transmission range d = distance to TO E[C] = expected inter-vehicle spacing
18. What Message Delivery Method? Hadi Arbabi marbabi@cs.odu.edu 15 Flow Rate 1800 3600 5400 veh/h Transmission Range
22. Performance Evaluation of DTMon Traffic Conditions Free Flow Traffic Transient Flow Traffic Transient Congestion Extended Congestion Compare Delivery Methods Message Reception Rate Message Delay and Latency Quality of Data (estimated measurements) Compare with Probe Vehicle-Based Systems (e.g., AVL) Fixed Point Sensors and Detectors (e.g., ILD) Hadi Arbabi marbabi@cs.odu.edu 18 Methods that can collect more informationfrom vehicles with less latencyare preferred in up-to-date traffic monitoring
26. Free Flow Traffic (Eval.) 10 runs, 30 min each, PR {5%, 25%, 50%, 100%} Major defined strips by TOs {VS1 , VS2 , VS5 , VS9} Compute avg., variance, significance, etc. Comparison Each delivery method with the others Actual simulation (ground truth) data Hadi Arbabi marbabi@cs.odu.edu 21
28. Message Reception Rate (MRR) Hadi Arbabi marbabi@cs.odu.edu 23 Hybrid = Forwarding + Carrying = Full MRR Higher Penetration = More Forwarding = Less Carrying VS2 50%
29. MRR and Traffic In Opposite Direction Hadi Arbabi marbabi@cs.odu.edu 24 20-25% 20-25%
30. Message Delay Hadi Arbabi marbabi@cs.odu.edu 25 RF Delay Very Low Hybrid Delay 1. Amount of Carried Messages 2. TT More Forwarding Less Delay More SAC More Delay
31. Transient Flow Traffic (Eval.) Bi-directional four-lane highway TO1 is located at 1 km away TO5 is located at 5 km away (optional secondary TO) Vehicles enter the highway with Medium flow rate (average 1800 veh/h) Desired speed 65±5 mph (29±2.2 m/s) Normal Distribution 20% of vehicles are Truck (for comparison with AVL) Uniform Distribution Hadi Arbabi marbabi@cs.odu.edu 26 A vehicle breaks down for 5 min
32. Transient Flow Traffic (Eval.) The performance of DTMon compared with Actual simulation status (ground truth) Fixed point sensors and detectors Actual simulation data sampled from VS1 and VS2 AVL Equipped Trucks 10 runs of the simulation (20 min each) for each experiment Test with penetration rates of 5, 10, 25, 50, and 100% Compute avg., variance, significance, etc. Hadi Arbabi marbabi@cs.odu.edu 27
33. Estimated Travel Time (ILDs vs. Actual) Hadi Arbabi marbabi@cs.odu.edu 28 Fixed Point Sensor and Detector’s Poor Estimation of TT and SMS
34. Travel Time Hadi Arbabi marbabi@cs.odu.edu 29 Quality of Data RF+SAC >= RF > AVL VS2 VS2
35. Space Mean Speed (SMS) Hadi Arbabi marbabi@cs.odu.edu 30 VS2 VS2
36. Flow Rate Hadi Arbabi marbabi@cs.odu.edu 31 Count Information (e.g., Flow Rate and Volume) Only in High PR VS2
37. Message Delay Hadi Arbabi marbabi@cs.odu.edu 32 RF Delay Very Low TO1 VS2 TO5 RF+SAC Delay 1. Amount of Carried Messages 2. TT More RF Less Delay More SAC More Delay
38. Quality of Data Hadi Arbabi marbabi@cs.odu.edu 33 t-test Alpha = 0.05 (Confidence > 95%)
39. Quality of Data Hadi Arbabi marbabi@cs.odu.edu 34 t-test Alpha = 0.05 Confidence > 95%
40. Free Flow and Transient Flow (Summary) DTMoncan estimate good quality Travel Timeand Speed DTMoncan detect transition in traffic flow using estimated Travel Time and Speed DTMoncan estimate good quality flow rate and density in higher penetration rates Hybrid message delivery improves information reception rate with cost of latency as an option for low penetration rates DTMoncan augment current technologies and monitoring systems Hadi Arbabi marbabi@cs.odu.edu 35
41. Traffic With Congestion (Eval.) Goal Use our findings about DTMon in detecting transitions in traffic flow using travel time and speed Show advantage of DTMon’s dynamically defined virtual strips by TOs For example, show DTMon’s ability in detecting congestion and the end of the queue No delay when RF is used Hadi Arbabi marbabi@cs.odu.edu 36
42. Example: End-of-Queue Detection During Congestion Using DTMon Create congestion near by VS4 (long period 30 min) Let TO1 dynamically define two additional new VS (VS2.5 and VS3.5 ) after the vehicle breaks down Observe transitions in travel times and speeds for each virtual strip, segments, and new sub-segments Hadi Arbabi marbabi@cs.odu.edu 37
45. Travel Time Hadi Arbabi marbabi@cs.odu.edu 40 VS3 VS2.5 VS2 Congestion Must Have Reached VS2VS3 Upper Section Or Lower Section? VS2.5VS3 Or V2V2.5?
46. Congestion (Summary) Benefits of Dynamically Defined Virtual Strips in DTMon Spatial probing from traffic Ability to monitor various points with only one TO Ability to monitor various segments with only one TO Ability to create virtual sub-segments No need for extrapolation/interpolation Detection of the end of the queue No flow rate information is required Speeds and travel times are sufficient No delay (using RF) Hadi Arbabi marbabi@cs.odu.edu 41
47. Contributions A method for using probe vehicles to perform spatial sampling of traffic conditions To provide real-time measurements of speed and travel time To allow for the measurements to be made at specific and dynamic locations of interest on the roadway To avoid the need for interpolation and estimation that is required when temporal sampling of probe vehicles is performed Hadi Arbabi marbabi@cs.odu.edu 42
48. Contributions An analysis of the factors that can impact the quality of monitored traffic data when using vehicular networks Market penetration rate Traffic conditions Communication range Distance between communicating entities Methods of message delivery Information and message reception rate Message delay Hadi Arbabi marbabi@cs.odu.edu 43
49. Contributions An evaluation of the impact of different methods of message delivery on the quality of traffic data that can be gathered by vehicular networks Regular forwarding Dynamic transmission range Store-and-carry Hybrid Comparisons Information and message reception rates Message delay (and latency) In-use technologies Hadi Arbabi marbabi@cs.odu.edu 44
50. Contributions A demonstration of the usefulness of DTMon’s monitoring approach for monitoring congested traffic conditions To allow a TMC to dynamically place additional monitoring points (virtual strips) in locations where congestion is building up To detect transitions in traffic flow using travel times and speeds, without having to rely on flow rate information To detect and track the end-of-the-queue in traffic with congestion Hadi Arbabi marbabi@cs.odu.edu 45
51. Contributions Highway mobility modules for the ns-3 network simulator The first highway mobility modules designed to produce realistic vehicle mobility and communications in ns-3 Validated modules have been released to the ns-3 community and are now being used by other researchers around the world Hadi Arbabi marbabi@cs.odu.edu 46
52. Avg. visit 150/mon [code + paper]Avg. new user 10/mon [our simulator]in past 9 months! Hadi Arbabi marbabi@cs.odu.edu 47
54. Future Work Investigate the usage of the most recent security/routing techniques and algorithms in VANETs suitable for DTMon Adapt DTMon and the same framework toward mobile nodes (e.g., cell phones) TOs are service providers (or TMCs) and … Vehicles are smart-phones (and with installed DTMon apps) Apps are updated with most recent defined virtual strips for the region Extend our implementation of VANET simulation modules for urban areas (e.g., intersections) Add the ability to read in and use detailed maps instead of a single straight highway Investigate the use of dynamically-defined virtual strips and TOs in DTMon to evaluate the performance of our proposed framework in urban area Methods to estimate the market penetration rate Hadi Arbabi marbabi@cs.odu.edu 49
55. Questions? Hadi Arbabi Department of Computer Science at Old Dominion University Vehicular Networks, Sensor Networks, and Internet Traffic Research http://oducs-networking.blogspot.com/ Source Code Wiki: Installation and Documentation http://code.google.com/p/ns-3-highway-mobility/ marbabi@cs.odu.edu Hadi Arbabi marbabi@cs.odu.edu 50 This work was supported in part by the National Science Foundation under grants CNS-0721586 and CNS-0709058.
56. Publications Hadi Arbabi and Michele C. Weigle, "Monitoring Free-Flow Traffic using Vehicular Networks," In Proceedings of the IEEE Intelligent Vehicular Communications System Workshop (IVCS). Las Vegas, NV, January 2011. Hadi Arbabi and Michele C. Weigle, “Using DTMon to Monitor Transient Flow Traffic”, In Proceedings of the IEEE Vehicular NetworkingConference (VNC). Jersey City, NJ, December 2010. Hadi Arbabi and Michele C. Weigle, “Highway Mobility and Vehicular Ad-Hoc Networks in ns-3,” In Proceedings of the Winter Simulation Conference. Baltimore, MD, December 2010. Hadi Arbabi and Michele C. Weigle, "Using Vehicular Networks to Collect Common Traffic Data," In Proceedings of the ACM International Workshop on Vehicular Internetworking (VANET). Beijing, September 2009. Hadi Arbabi, "Channel Management in Heterogeneous Cellular Networks", Master's Thesis, June 2007. Hadi Arbabi, "PCI Interface to Control Parallel Stepper Motors Simultaneously: Design, Implementation, Driver, and GUI", Bachelor's Thesis and Technical Report, June 2001. Hadi Arbabi marbabi@cs.odu.edu 51