Current Search: Traffic flow (x)
View All Items
- Title
- Operational, environmental, and safety comparisons between three innovative types of intersection designs: displaced left turn, diverging flow, and left-turn bypass.
- Creator
- Olarte, Claudia, Kaisar, Evangelos I., Graduate College
- Date Issued
- 2011-04-08
- PURL
- http://purl.flvc.org/fcla/dt/3164667
- Subject Headings
- Traffic flow, Traffic congestion, Traffic engineering
- Format
- Document (PDF)
- Title
- EMPIRICAL ASSESSMENT OF THE INTERACTION BETWEEN AUTOMATED VEHICLES AND HUMAN DRIVERS: CASE STUDY OF COMMERCIALLY AVAILABLE ADAPTIVE CRUISE CONTROL (ACC).
- Creator
- Chon Kan-Muñoz, Pablo, Kan, David, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
- Abstract/Description
-
Automated vehicles (AVs) are becoming more common each day as car manufacturers have started to include advanced driving assistant systems (ADAS) in trendline models. The most basic level of vehicle automation includes Adaptive Cruise Control (ACC) can disrupt and change traffic flow. The current study proposes the development of controlled experiments to obtain traffic flow properties for vehicles equipped with ACC in different scenarios. As part of this dissertation, the effects of ACC on...
Show moreAutomated vehicles (AVs) are becoming more common each day as car manufacturers have started to include advanced driving assistant systems (ADAS) in trendline models. The most basic level of vehicle automation includes Adaptive Cruise Control (ACC) can disrupt and change traffic flow. The current study proposes the development of controlled experiments to obtain traffic flow properties for vehicles equipped with ACC in different scenarios. As part of this dissertation, the effects of ACC on capacity are quantified at steady state conditions, meaning cruising speeds or free flow, and at bottlenecks, where speed fluctuations occur. The effects of ACC on traffic flow properties are also assessed by the construction and study of the Fundamental Diagram. Lastly, the vehicles are submitted to less predictable deceleration scenarios that involve a leading vehicle driven in ACC mode and a leading vehicle driven manually. The reaction of ACC for these cases is documented.
Show less - Date Issued
- 2021
- PURL
- http://purl.flvc.org/fau/fd/FA00013778
- Subject Headings
- Automated vehicles, Traffic flow, Traffic engineering
- Format
- Document (PDF)
- Title
- REAL-TIME HIGHWAY TRAFFIC FLOW AND ACCIDENT SEVERITY PREDICTION IN VEHICULAR NETWORKS USING DISTRIBUTED MACHINE LEARNING AND BIG DATA ANALYSIS.
- Creator
- Alnami, Hani Mohammed, Mahgoub, Imadeldin, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
In recent years, Florida State recorded thousands of abnormal traffic flows on highways that were caused by traffic incidents. Highway traffic congestion costed the US economy 101 billion dollars in 2020. Therefore, it is imperative to develop effective real-time traffic flow prediction schemes to mitigate the impact of traffic congestion. In this dissertation, we utilized real-life highway segment-based traffic and incident data obtained from Florida Department of Transportation (FDOT) for...
Show moreIn recent years, Florida State recorded thousands of abnormal traffic flows on highways that were caused by traffic incidents. Highway traffic congestion costed the US economy 101 billion dollars in 2020. Therefore, it is imperative to develop effective real-time traffic flow prediction schemes to mitigate the impact of traffic congestion. In this dissertation, we utilized real-life highway segment-based traffic and incident data obtained from Florida Department of Transportation (FDOT) for real-time incident prediction. We used eight years of FDOT real-life traffic and incident data for Florida I-95 highway to build prediction models for traffic accident severity. Accurate severity prediction is beneficial for responders since it allows the emergency center to dispatch the right number of vehicles without wasting additional resources.
Show less - Date Issued
- 2022
- PURL
- http://purl.flvc.org/fau/fd/FA00014089
- Subject Headings
- Traffic flow, Traffic accidents, Machine learning, Big data, Traffic estimation
- Format
- Document (PDF)
- Title
- COMPARISON OF FUNDAMENTAL DIAGRAMS FOR TRAFFIC FLOW BETWEEN INTERNAL COMBUSTION VEHICLES AND ELECTRIC VEHICLES WITH AUTOMATION AND DRIVER ASSISTANCE.
- Creator
- Yagantekin, Kemal Ulas, Kan, David, Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
- Abstract/Description
-
Adaptive cruise control (ACC) system is the first widely offered automated functionality that regulates the longitudinal movement of the vehicle using onboard radar sensors, and they can maintain a safe following distance with the preceding vehicle. In most of the field experiments with ACC-equipped vehicles conducted with internal combustion engine vehicles, there is still a gap in research on how the automation systems such as ACC combined with electric powertrains will influence the...
Show moreAdaptive cruise control (ACC) system is the first widely offered automated functionality that regulates the longitudinal movement of the vehicle using onboard radar sensors, and they can maintain a safe following distance with the preceding vehicle. In most of the field experiments with ACC-equipped vehicles conducted with internal combustion engine vehicles, there is still a gap in research on how the automation systems such as ACC combined with electric powertrains will influence the traffic flow be examined. This study refined and recalibrated an ACC car-following model for EVs and integrated it into AIMSUN to realistically simulate ACC-equipped vehicles and their impact on the fundamental diagram of traffic flow. Simulations were conducted for various ACC market penetrations, and fundamental diagrams were constructed for those market penetrations using detector measurements at various locations along the simulated segment. Overall, the capacity and the jam density increase as the EV with ACC market penetration rises. EVs with ACC can achieve higher capacities compared to ICEs with ACC.
Show less - Date Issued
- 2023
- PURL
- http://purl.flvc.org/fau/fd/FA00014202
- Subject Headings
- Traffic flow, Automated vehicles, Electric vehicles
- Format
- Document (PDF)
- Title
- RSSI-BASED PASSIVE LOCALIZATION IN COMPLEX OUTDOOR ENVIRONMENTS USING WI-FI PROBE REQUESTS.
- Creator
- Bao, Fanchen, Hallstrom, Jason O., Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
- Abstract/Description
-
Capturing pedestrian mobility patterns with high fidelity provides a foundation for data-driven decision-making in support of city planning, emergency response, and more. Due to scalability requirements and the sensitive nature of studying pedestrian movements in public spaces, the methods involved must be passive, low-cost, and privacy-centric. Pedestrian localization based on Received Signal Strength Indicator (RSSI) measurements from Wi-Fi probe requests is a promising approach. Probe...
Show moreCapturing pedestrian mobility patterns with high fidelity provides a foundation for data-driven decision-making in support of city planning, emergency response, and more. Due to scalability requirements and the sensitive nature of studying pedestrian movements in public spaces, the methods involved must be passive, low-cost, and privacy-centric. Pedestrian localization based on Received Signal Strength Indicator (RSSI) measurements from Wi-Fi probe requests is a promising approach. Probe requests are spontaneously emitted by Wi-Fi-enabled devices, are readily captured by of-the-shelf components, and offer the potential for anonymous RSSI measurement. Given the ubiquity of Wi-Fi-enabled devices carried by pedestrians (e.g., smartphones), RSSI-based passive localization in outdoor environments holds promise for mobility monitoring at scale. To this end, we developed the Mobility Intelligence System (MobIntel), comprising inexpensive sensor hardware to collect RSSI data, a cloud backend for data collection and storage, and web-based visualization tools. The system is deployed along Clematis Street in the heart of downtown West Palm Beach, FL, and over the past three years, over 50 sensors have been installed. Our research first confirms that RSSI-based passive localization is feasible in a controlled outdoor environment (i.e., no obstructions and little signal interference), achieving ≤ 4 m localization error in more than 90% of the cases. When significant time-varying signal fluctuations are introduced as a result of long-term deployment, performance can be maintained with an overhaul of the problem formulation and an updated localization model. However, when the outdoor environment is fully uncontrolled (e.g., along Clematis Street), the performance decreases to ≤ 4 m error in fewer than 70% of the cases. However, the drop in performance may be addressed through improved sensor maintenance, additional data collection, and appropriate domain knowledge.
Show less - Date Issued
- 2023
- PURL
- http://purl.flvc.org/fau/fd/FA00014299
- Subject Headings
- Pedestrian traffic flow, Information technology, Computer Science
- Format
- Document (PDF)
- Title
- On Development of Arterial Fundamental Diagrams Based on Surrogate Density Measures from Adaptive Traffic Control Systems Utilizing Stop Line Detection.
- Creator
- Dakic, Igor, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
- Abstract/Description
-
Macroscopic fundamental diagram is the concept of the highest importance in traffic flow theory used for development of network-wide control strategies. Previous studies showed that so called Arterial Fundamental Diagrams (AFDs) properly depict relationships between major macroscopic traffic variables on urban arterials. Most of these studies used detector’s occupancy as a surrogate measure to represent traffic density. Nevertheless, detector’s occupancy is not very often present in the field...
Show moreMacroscopic fundamental diagram is the concept of the highest importance in traffic flow theory used for development of network-wide control strategies. Previous studies showed that so called Arterial Fundamental Diagrams (AFDs) properly depict relationships between major macroscopic traffic variables on urban arterials. Most of these studies used detector’s occupancy as a surrogate measure to represent traffic density. Nevertheless, detector’s occupancy is not very often present in the field data. More frequently, field data from arterial streets provide performance metrics measured at the stop lines of traffic signals, which represent a hybrid of flow and occupancy. When such performance measures are used in lieu of density, the outcomes of the relationships between macroscopic fundamental variables can be confusing. This study investigates appropriateness of using degree of saturation, as a representative surrogate measure of traffic density, obtained from an adaptive traffic control system that utilizes stop-line detectors, for development of AFDs.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004672, http://purl.flvc.org/fau/fd/FA00004672
- Subject Headings
- Adaptive control systems, Intelligent transportation systems, Traffic engineering, Traffic estimation -- Computer simulation, Traffic estimation -- Mathematical models, Traffic flow -- Computer simulation, Traffic flow -- Mathematical models
- Format
- Document (PDF)
- Title
- A reduced delay OPAC system.
- Creator
- Kaskawits, Stuart Jay., Florida Atlantic University, Pajunen, Grazyna, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
- Abstract/Description
-
Implementation of the Optimized Policies for Adaptive Control (OPAC) strategy in conjunction with a vehicle velocity controller offers the potential for significantly improving the control strategies used at isolated intersections with respect to measured vehicle delays. The exhaustive sequential search procedure by OPAC provides the optimal switching policies for the intersection while the vehicle velocity controller varies vehicle velocities to reduce vehicle stopping delays. The OPAC...
Show moreImplementation of the Optimized Policies for Adaptive Control (OPAC) strategy in conjunction with a vehicle velocity controller offers the potential for significantly improving the control strategies used at isolated intersections with respect to measured vehicle delays. The exhaustive sequential search procedure by OPAC provides the optimal switching policies for the intersection while the vehicle velocity controller varies vehicle velocities to reduce vehicle stopping delays. The OPAC algorithm implemented with the vehicle velocity controller was found to have substantially lower delays than OPAC alone.
Show less - Date Issued
- 1994
- PURL
- http://purl.flvc.org/fcla/dt/15072
- Subject Headings
- Adaptive control systems, Traffic engineering--Data processing, Traffic flow, Electronic traffic controls
- Format
- Document (PDF)
- Title
- Investigating the impact of recurrent and non-recurrent congestion on highway operations.
- Creator
- Ferri, Marcello G., Kaisar, Evangelos I., Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
- Abstract/Description
-
Traffic congestion is one of the most concerning issues in the transportation system. Recurrent congestion and non-recurrent congestion are explored in this research. This research will investigate one of the most concerning issues with the transportation system, congestion, using an overall delay analysis study. A developed fused database program was used to access and analyze the complete database data. Two online databases were used for obtaining traffic, incident and weather data. Eleven...
Show moreTraffic congestion is one of the most concerning issues in the transportation system. Recurrent congestion and non-recurrent congestion are explored in this research. This research will investigate one of the most concerning issues with the transportation system, congestion, using an overall delay analysis study. A developed fused database program was used to access and analyze the complete database data. Two online databases were used for obtaining traffic, incident and weather data. Eleven different scenarios such as peak-hours, rain scenario, incidents scenario, and work zone scenario were developed for the analysis. An overall delay study was performed on all scenarios to find the impact recurring and non-recurring congestion on the highway. The results of this research were interesting for future adjustment and improvements on the two segments of highways selected.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00004283, http://purl.flvc.org/fau/fd/FA00004283
- Subject Headings
- Intelligent transportation systems, Traffic congestion, Traffic estimation, Traffic flow, Transportation -- Finance -- Decision making, Transportation -- Finance -- Decision making
- Format
- Document (PDF)
- Title
- Assessment of optimality of arterial signal timing plans under diurnal and day-to-day variations in traffic demand.
- Creator
- Ostojic, Marija, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
- Abstract/Description
-
Most U.S. urban traffic signal systems deploy multiple signal timing plans to account for daily variability of traffic demand (i.e. morning peak, midday, afternoon peak, off peak and night). Groups of signals (belonging to the one zone or section) along an urban arterial, usually operate in a coordinated manner. This essentially means that timing plans change at the same time for all the signals in the group, so as to facilitate vehicle progression of through a series of signals. Good traffic...
Show moreMost U.S. urban traffic signal systems deploy multiple signal timing plans to account for daily variability of traffic demand (i.e. morning peak, midday, afternoon peak, off peak and night). Groups of signals (belonging to the one zone or section) along an urban arterial, usually operate in a coordinated manner. This essentially means that timing plans change at the same time for all the signals in the group, so as to facilitate vehicle progression of through a series of signals. Good traffic signal timing practices assume a certain level of monitoring and maintenance in order to guarantee that they are efficient in servicing current traffic conditions.
Show less - Date Issued
- 2015
- PURL
- http://purl.flvc.org/fau/fd/FA00004457, http://purl.flvc.org/fau/fd/FA00004457
- Subject Headings
- Electronic traffic controls -- Evaluation, Roads -- Safety measures -- Evaluation, Signalized intersections, Traffic flow management, Traffic signs and signals -- Control systems -- Methodology, Transportation engineering -- Technological innovations
- Format
- Document (PDF)
- Title
- Evaluating the impact of increased frequency on light rail operations on private traffic.
- Creator
- Mitrovic, Nikola, Stevanovic, Aleksandar, Graduate College
- Date Issued
- 2011-04-08
- PURL
- http://purl.flvc.org/fcla/dt/3164665
- Subject Headings
- Railroads, Local and light--Utah--Salt Lake City Metropolitan Area, Freight and freightage, Traffic flow
- Format
- Document (PDF)
- Title
- Framework for Integration of the Driving Simulator in Connected Vehicle Environment.
- Creator
- Ostojic, Bratislav, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
- Abstract/Description
-
Research on connected vehicles (CV) has attracted attention in the last decade due to numerous potential applications and challenges related to exchange of information between the vehicles (and infrastructure). Most of the relevant studies focus on these applications and challenges with the help of novel or existing simulation frameworks. The simulation framework often contains the mobility and communication components, and these components are frequently simplified. In this study, the...
Show moreResearch on connected vehicles (CV) has attracted attention in the last decade due to numerous potential applications and challenges related to exchange of information between the vehicles (and infrastructure). Most of the relevant studies focus on these applications and challenges with the help of novel or existing simulation frameworks. The simulation framework often contains the mobility and communication components, and these components are frequently simplified. In this study, the authors aim to provide the detailed information for developing a fully V2X capable infrastructure within the lab environment. The physical components of the proposed infrastructure include: (i) userdriven Driving Simulator (DS) with the embedded micro-simulation tool (MS); (ii) external traffic signal controller (TSC); (iii) Road Side Unit (RSU) and omnidirectional antenna attached to RSU; (iv) On-Board Unit (OBU) that is integrated within DS‘s cockpit. The proposed framework can be used for advanced applications in the context of connected vehicles.
Show less - Date Issued
- 2017
- PURL
- http://purl.flvc.org/fau/fd/FA00004936, http://purl.flvc.org/fau/fd/FA00004936
- Subject Headings
- Intelligent transportation systems., Wireless communication systems., Traffic flow--Computer simulation., Traffic signs and signals--Evaluation--Computer simulation., Highway communications.
- Format
- Document (PDF)
- Title
- Configuration and assessment of hardware-in-the-loop-simulation with high resolution data to coordinate traffic signals.
- Creator
- Klanac, Ivica, Stevanovic, Aleksandar, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
- Abstract/Description
-
Today, the information (signal timings, detector extension, phase sequence, etc.) to install traffic lights on the street are obtained from traffic software simulations platforms, meaning that information from simulation is not tested on the field (intersection where it will be installed) before the installation. Many installed controllers on the street use time of day (TOD) patterns due to cheaper cost than adaptive traffic control systems, but that is not the best solution for traffic...
Show moreToday, the information (signal timings, detector extension, phase sequence, etc.) to install traffic lights on the street are obtained from traffic software simulations platforms, meaning that information from simulation is not tested on the field (intersection where it will be installed) before the installation. Many installed controllers on the street use time of day (TOD) patterns due to cheaper cost than adaptive traffic control systems, but that is not the best solution for traffic volume changes that can occur during the day or even a month. To improve traffic signal operation most of the traffic signal controllers in the same corridor or zone operate in coordination mode. Furthermore, phases need to be in coordination to achieve “green wave”. Green wave is term used when in corridor traffic lights allow continues flow of traffic through intersections that are coordinated.
Show less - Date Issued
- 2016
- PURL
- http://purl.flvc.org/fau/fd/FA00004709, http://purl.flvc.org/fau/fd/FA00004709
- Subject Headings
- Digital control systems, Digital integrated circuits -- Design and construction, Hardware in the loop simulation, Highway engineering -- Safety measures, Traffic engineering -- Technological innovations, Traffic flow -- Management, Traffic signs and signals -- Control systems -- Methodology
- Format
- Document (PDF)