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Author: Jialin Tian Publisher: ISBN: Category : Roads Languages : en Pages : 122
Book Description
Obtaining turning movement counts at signalized intersections is a routine task in traffic engineering and can be tedious and time consuming. Previous research in automating turning movement count has focused on estimating the turning movements from approach and departure volumes and developing detection systems for exclusive turning lanes. The accuracy of an alternative method, called the Time and Place System (TAPS), is examined in this research through a field study of five signalized intersections in Columbia, Missouri. TAPS uses both the locations and times of actuations from a small number of detectors to classify movements from shared approach lanes. The five intersections represent a range of geometries and signal timings. At four intersections a standard video camera was placed about 30 feet high, as close to the departure lanes as possible, to provide a reasonable view. Additional cameras showed current signal indications into the departure leg. At the fifth location a single elevated camera captured both vehicle movements and signal indications. The videotape data was used to compare TAPS results to actual flows. The errors in detections were apparently due to the sensitivity of detection system, camera angles, intersection geometries, traffic parameters and other factors. The ability of TAPS to identify turning movements at signalized intersections was supported by the study results. The information from TAPS could be used for advanced signal management, dynamic traffic assignment and traffic demand estimation.
Author: Jialin Tian Publisher: ISBN: Category : Roads Languages : en Pages : 122
Book Description
Obtaining turning movement counts at signalized intersections is a routine task in traffic engineering and can be tedious and time consuming. Previous research in automating turning movement count has focused on estimating the turning movements from approach and departure volumes and developing detection systems for exclusive turning lanes. The accuracy of an alternative method, called the Time and Place System (TAPS), is examined in this research through a field study of five signalized intersections in Columbia, Missouri. TAPS uses both the locations and times of actuations from a small number of detectors to classify movements from shared approach lanes. The five intersections represent a range of geometries and signal timings. At four intersections a standard video camera was placed about 30 feet high, as close to the departure lanes as possible, to provide a reasonable view. Additional cameras showed current signal indications into the departure leg. At the fifth location a single elevated camera captured both vehicle movements and signal indications. The videotape data was used to compare TAPS results to actual flows. The errors in detections were apparently due to the sensitivity of detection system, camera angles, intersection geometries, traffic parameters and other factors. The ability of TAPS to identify turning movements at signalized intersections was supported by the study results. The information from TAPS could be used for advanced signal management, dynamic traffic assignment and traffic demand estimation.
Author: Ping Yi Publisher: ISBN: Category : Signalized intersections Languages : en Pages :
Book Description
Today many intersections are operated based on data input from nonintrusive video detection systems. With those systems the video detectors can be easily deployed/modified for different application requirements. This research project is initiated to improve the convenience and coverage and reduce cost in turning movement data collection, by taking advantage of the existing video detection system at signalized intersections. This research involves hardware design and algorithm testing, where an automatic turning movement identification system (ATMIS) is developed to interface the current signal control system at each intersection. The ATMIS is tested in different scenarios with variations in intersection configuration and weather conditions. The turning movement data obtained from the system are compared with the ground truth by watching the synchronous video. While the average accuracy level in the first phase of tests for most intersection movements reached 90%, additional improvements in the algorithm and hardware design to handle large-sized vehicles, irregular geometrics and pedestrians, have further advanced the data accuracy to be over 95% for the entire intersection. The major problem leading to the errors is due to turning buses at small intersections, where the size of vehicles can cause false detections. We found an effective solution to this problem by adjusting the camera angle or height, but it was not done for every such case partly because it adds to the busy daily work for the city engineers and partly due to the low volume for the turning movements at small intersections, where the error can be contained in the ADT data. It has been demonstrated that the ATMIS algorithm can effectively address variations in geometrics within the scope of this project, with no obvious degrading impact on the accuracy level by normal rain and snow.
Author: Jialei Mao Publisher: ISBN: Category : Traffic flow Languages : en Pages : 75
Book Description
"It is important for many traffic operations, such as real-time adaptive signal control, dynamic traffic assignment and traffic demand estimation, to obtain the vehicle turning movement information at a signalized intersection. However, it is laborious and time consuming to count the turning movements manually. Previous efforts on this problem relied on a mathematical approach by solving an O-D matrix in which the turning movements represent distributions of the arriving flow at each intersection approach. However, such a matrix cannot be mathematically solved without using supplementary volume data from the local detectors; previous studies showed the results from the O-D method are not accurate. Identifying vehicle turning movements from detector information is a more direct method. Limited studies using this method have been found for intersections without shared lanes. Most intersections allow shared lane operations, thus this method is not practical without further improvements. Driven by the need to identify vehicles turning movement automatically regardless of the geometry and operation of the intersections, this research studied and developed a system called Automatic Turning Movement Identification System (ATMIS). ATMIS utilizes intelligent detection matching algorithm to identify vehicle turning movements from the detections collected from the field in real-time. This algorithm has the capability to compensate the error caused by the faults detections and shared lanes. The results from laboratory experiments and field tests are very encouraging. Future work is also discussed in the thesis. While another related study, intersection delay measurement, is also included in this thesis. Delay is regarded as one of the most important Measures of Effectiveness (MOE) for signalized intersections. Different methods to measure control delay are recommended by many researchers but most of them are costly, time consuming and labor intensive. Some key components of delay measurement, such as intersection delay and delay for different turning movements, are not addressed in the previous studies. Driven by the need to develop an automatic delay estimation system, a method is presented to improve or extend the current methods to estimate intersection travel time based on the detection information derived from ATMIS. Yet, the detection information is not perfect from ATMIS, we still can estimate intersection delay accurately with the help of data filters. The mechanism and result of proposed method are discussed in this thesis. Further work of delay measurement is also presented."--Abstract.
Author: Jim Kranig Publisher: ISBN: Category : Detectors Languages : en Pages : 284
Book Description
This report documents the activities and results of a test of non- intrusive traffic detection technologies. Seventeen devices representing eight different technologies were evaluated in varying environmental and traffic conditions. The following technologies were tested: passive infrared, active infrared, magnetic, radar, doppler microwave, pulse ultrasonic, passive acoustic, and video. Testing was done at both freeway and intersection locations. Emphasis was placed on urban traffic conditions and locations that typify temporary counting locations. The evaluation also focused on the ease of system setup and use, general system reliability, and system flexibility.
Author: ITE (Institute of Transportation Engineers) Publisher: John Wiley & Sons ISBN: 1118762304 Category : Technology & Engineering Languages : en Pages : 688
Book Description
Get a complete look into modern traffic engineering solutions Traffic Engineering Handbook, Seventh Edition is a newly revised text that builds upon the reputation as the go-to source of essential traffic engineering solutions that this book has maintained for the past 70 years. The updated content reflects changes in key industry standards, and shines a spotlight on the needs of all users, the design of context-sensitive roadways, and the development of more sustainable transportation solutions. Additionally, this resource features a new organizational structure that promotes a more functionally-driven, multimodal approach to planning, designing, and implementing transportation solutions. A branch of civil engineering, traffic engineering concerns the safe and efficient movement of people and goods along roadways. Traffic flow, road geometry, sidewalks, crosswalks, cycle facilities, shared lane markings, traffic signs, traffic lights, and more—all of these elements must be considered when designing public and private sector transportation solutions. Explore the fundamental concepts of traffic engineering as they relate to operation, design, and management Access updated content that reflects changes in key industry-leading resources, such as the Highway Capacity Manual (HCM), Manual on Uniform Traffic Control Devices (MUTCD), AASSHTO Policy on Geometric Design, Highway Safety Manual (HSM), and Americans with Disabilities Act Understand the current state of the traffic engineering field Leverage revised information that homes in on the key topics most relevant to traffic engineering in today's world, such as context-sensitive roadways and sustainable transportation solutions Traffic Engineering Handbook, Seventh Edition is an essential text for public and private sector transportation practitioners, transportation decision makers, public officials, and even upper-level undergraduate and graduate students who are studying transportation engineering.
Author: Jialin Tian
Author: Jialin Tian
Author: Ping Yi
Author: Jialei Mao
Author: 
Author: Jim Kranig
Author: J L. Kay
Author: ITE (Institute of Transportation Engineers)
Author: Martin C. Stark
Author: 
Author: Colleen Flather