The Experts below are selected from a list of 150 Experts worldwide ranked by ideXlab platform
Meng Wang - One of the best experts on this subject based on the ideXlab platform.
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A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization
IEEE Transactions on Intelligent Transportation Systems, 2019Co-Authors: Kun An, Nathan H. Gartner, Meng WangAbstract:Arterial traffic signal coordination makes traffic flow more efficient and safer. This paper presents a Partition-enabled multi-mode band (PM-BAND) model that is designed to solve the signal coordination problem for arterials with multiple modes, i.e., passenger cars and transit vehicles. The proposed method permits the progression bands to be broken if necessary and optimizes System Partition and signal coordination in one unified framework. The impacts of traffic demand of passenger cars and transit vehicles as well as the geometry characteristics of the arterials are taken into account. Signal timings and waiting time of transit vehicles at stations are optimized simultaneously. The PM-BAND model is formulated as a mixed-integer linear program, which can be solved by the standard branch-and-bound technique. Numerical example results have demonstrated that the PM-BAND model can significantly reduce the average number of stops and delay compared with the other models, i.e., MAXBAND and MULTIBAND. Moreover, the progression bands generated by the PM-BAND model have a higher reliability and effectiveness.
Sameer Pendharkar - One of the best experts on this subject based on the ideXlab platform.
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Mixed Signal and Power Semiconductor Technology for Industrial and Automotive Electronics
2020 32nd International Symposium on Power Semiconductor Devices and ICs (ISPSD), 2020Co-Authors: Sameer PendharkarAbstract:Innovations in multi-domain mixed signal integration are driving Industry 4.0 whereas significant improvements in power density and high voltage technology is enabling automotive Systems like the 48V battery as well as EV/HEV. Though silicon is still the dominant semiconductor material, recent advances in wide band gap semiconductor technology have opened up the possibilities of more optimal System Partition to achieve even higher power conversion efficiencies and densities with superior System reliability and diagnostics. This paper looks at some of the features and trends of integrated power technologies to achieve an overall optimal System performance
Kun An - One of the best experts on this subject based on the ideXlab platform.
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A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization
IEEE Transactions on Intelligent Transportation Systems, 2019Co-Authors: Kun An, Nathan H. Gartner, Meng WangAbstract:Arterial traffic signal coordination makes traffic flow more efficient and safer. This paper presents a Partition-enabled multi-mode band (PM-BAND) model that is designed to solve the signal coordination problem for arterials with multiple modes, i.e., passenger cars and transit vehicles. The proposed method permits the progression bands to be broken if necessary and optimizes System Partition and signal coordination in one unified framework. The impacts of traffic demand of passenger cars and transit vehicles as well as the geometry characteristics of the arterials are taken into account. Signal timings and waiting time of transit vehicles at stations are optimized simultaneously. The PM-BAND model is formulated as a mixed-integer linear program, which can be solved by the standard branch-and-bound technique. Numerical example results have demonstrated that the PM-BAND model can significantly reduce the average number of stops and delay compared with the other models, i.e., MAXBAND and MULTIBAND. Moreover, the progression bands generated by the PM-BAND model have a higher reliability and effectiveness.
Thomas Urbanik - One of the best experts on this subject based on the ideXlab platform.
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System Partition technique to improve signal coordination and traffic progression
Journal of Transportation Engineering-asce, 2007Co-Authors: Zong Tian, Thomas UrbanikAbstract:A heuristic approach to the application of bandwidth-oriented signal timing is proposed based on a System Partition technique. The proposed approach divides a large signalized arterial into subSystems with three to five signals in each subSystem. Each subSystem is optimized to achieve the maximum bandwidth efficiency. A one-directional System progression bandwidth, normally in the peak-flow direction, is then formed by appropriately adjusting the offsets between each subSystem. Such an approach provides a signal-timing solution that would achieve maximum progression for the peak direction while still maintaining partial progression for the off-peak direction. Further improvements on signal timing may be achieved by adjusting the phasing sequences at the subSystem boundary locations. A case study is presented to illustrate how the proposed approach can be applied, and the timing solutions are compared with the solutions from traditional signal-timing software. Evaluation of the timing solutions using CORSIM simulation indicates that the proposed approach results in improved bandwidth efficiencies for both directions and improved performance measures such as stops and travel speeds. The proposed heuristic approach is easy to apply using existing signal timing software packages such as PASSER II and Synchro. The proposed approach could also be used to develop new or improved existing bandwidth optimization algorithms.
Nathan H. Gartner - One of the best experts on this subject based on the ideXlab platform.
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A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization
IEEE Transactions on Intelligent Transportation Systems, 2019Co-Authors: Kun An, Nathan H. Gartner, Meng WangAbstract:Arterial traffic signal coordination makes traffic flow more efficient and safer. This paper presents a Partition-enabled multi-mode band (PM-BAND) model that is designed to solve the signal coordination problem for arterials with multiple modes, i.e., passenger cars and transit vehicles. The proposed method permits the progression bands to be broken if necessary and optimizes System Partition and signal coordination in one unified framework. The impacts of traffic demand of passenger cars and transit vehicles as well as the geometry characteristics of the arterials are taken into account. Signal timings and waiting time of transit vehicles at stations are optimized simultaneously. The PM-BAND model is formulated as a mixed-integer linear program, which can be solved by the standard branch-and-bound technique. Numerical example results have demonstrated that the PM-BAND model can significantly reduce the average number of stops and delay compared with the other models, i.e., MAXBAND and MULTIBAND. Moreover, the progression bands generated by the PM-BAND model have a higher reliability and effectiveness.
