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Dive into the research topics where Zhengyao Yu is active.

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Featured researches published by Zhengyao Yu.


Transportation Research Record | 2017

Person-Based Optimization of Signal Timing

Zhengyao Yu; Vikash V. Gayah; Eleni Christofa

Recent studies have proposed the use of person-based frameworks for the optimization of traffic signal timing to minimize the total passenger delay experienced by passenger cars and buses at signalized intersections. The efficiency and applicability of existing efforts, however, have been limited by an assumption of fixed cycle lengths and deterministic bus arrival times. An existing algorithm for person-based optimization of signal timing for isolated intersections was extended to accommodate flexible cycle lengths and uncertain bus arrival times. To accommodate flexible cycle lengths, the mathematical program was redefined to minimize total passenger delay within a fixed planning horizon that allowed cycle lengths to vary within a feasible range. Two strategies were proposed to accommodate uncertain bus arrival times: (a) a robust optimization approach that conservatively minimized delays experienced in a worst-case scenario and (b) a blended strategy that combined deterministic optimization and rule-based green extensions. The proposed strategies were tested with numerical simulations of an intersection in State College, Pennsylvania. Results revealed that the flexible cycle length algorithm could significantly reduce bus passenger delay and total passenger delay, with negligible increases in car passenger delay. These results were robust to changes in both bus and car flows. For bus arrival times, the robust optimization strategy seemed to be more effective at low levels of uncertainty and the blended strategy at higher levels of uncertainty. The anticipated benefits decreased with increases in the intersection flow ratio because of the lower flexibility of signal timing at the intersection.


Accident Analysis & Prevention | 2018

Safety and operational impacts of setting speed limits below engineering recommendations

Vikash V. Gayah; Eric T. Donnell; Zhengyao Yu; Lingyu Li

This study quantifies the operational and safety impacts of setting posted speed limits below engineering recommendations using field data from rural roads in Montana. Vehicle operating speeds and historical crash data were collected at multiple sites with posted speed limits set equal to engineering recommendations and sites with posted speed limits set lower than engineering recommendations. Linear, quantile and logistic regression models were estimated to predict mean operating speed, 85th percentile operating speed and speed limit compliance, respectively, as a function of various roadway characteristics and level of speed enforcement. The Empirical-Bayes before-after approach was also used to develop crash modification factors (CMFs) that describe the expected change in total and fatal + injury crash frequency when setting posted speed limits lower than engineering recommendations. Because safety data were collected over a long time period, temporal adjustments were incorporated to account for yearly changes in crash reporting, traffic characteristics and other variables. The results revealed that speed limit compliance worsened as the difference between the engineering recommended and posted speed limits increased. The presence of verified heavy police enforcement reduced both mean and 85th-percentile operating speeds by approximately 4 mph and increased speed limit compliance. The safety analysis found a statistically significant reduction in total, fatal + injury, and property damage only (PDO) crash frequency at locations with posted speed limits set 5 mph lower than engineering recommendations. Locations with posted speed limits set 10 mph lower than engineering recommendations experienced a decrease in total and PDO crash frequency, but an increase in fatal + injury crash frequency. The safety effects of setting speed limits 15 to 25 mph lower than engineering recommendations were less clear, as the results were not statistically significant, likely due to the small sample of sites included in the evaluation. Overall, the results suggest that setting posted speed limits 5 mph lower than the engineering recommended practice may result in operating speeds that are more consistent with the posted speed limits and overall safety benefits.


Transportation Research Part C-emerging Technologies | 2017

Using survival models to estimate bus travel times and associated uncertainties

Zhengyao Yu; Jonathan Wood; Vikash V. Gayah


Archive | 2016

Estimating Uncertainty of Bus Arrival Times and Passenger Occupancies

Vikash V. Gayah; Zhengyao Yu; Jonathan Wood


Transportation Research Board 97th Annual MeetingTransportation Research Board | 2018

Comparison of Urban Street Network Resilience for Grid Networks with and Without Left-Turning Maneuvers Under Light Traffic Situations

Zhengyao Yu; Vikash V. Gayah


Transportation Research Board 96th Annual MeetingTransportation Research Board | 2017

Person-Based Signal Timing Optimization to Account for Flexible Cycle Lengths and Uncertain Transit Vehicle Arrivals

Zhengyao Yu; Vikash V. Gayah; Eleni Christofa


Archive | 2017

Crash Data Safety Factors Evaluation

Eric T. Donnell; Vikash V. Gayah; Kristin Kersavage; Zhengyao Yu


Transportation Research Board 95th Annual MeetingTransportation Research Board | 2016

Regression Models for Real-Time Bus Occupancy Prediction

Zhengyao Yu; Jonathan Wood; Vikash V. Gayah


Transportation Research Board 95th Annual MeetingTransportation Research Board | 2016

Modeling Bus Travel Times and Travel Time Uncertainty: Comparison of Linear and Survival Model Frameworks

Zhengyao Yu; Jonathan Wood; Vikash V. Gayah


Archive | 2016

Speed Limits Set Lower than Engineering Recommendations

Eric T. Donnell; Vikash V. Gayah; Zhengyao Yu; Lingyu Li; Anthony DePrator

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Vikash V. Gayah

Pennsylvania State University

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Eric T. Donnell

Pennsylvania State University

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Jonathan Wood

South Dakota State University

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Lingyu Li

Pennsylvania State University

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Anthony DePrator

Pennsylvania State University

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Eleni Christofa

University of Massachusetts Amherst

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Kristin Kersavage

Pennsylvania State University

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