http://yetl.yabesh.ir/yetl1/handle/yetl/19009 2026-04-26T03:28:21Z 2026-04-26T03:28:21Z Andy H. Wong Davesh Sharma Omar Kilani Faeze Momeni Rad Stephen D. Wong Tae J. Kwon Karim El-Basyouny http://yetl.yabesh.ir/yetl1/handle/yetl/4310108 2026-02-16T22:02:34Z 2025-01-01T00:00:00Z

Naturalistic Experiment for Surface Transportation: A Study of Snowplow Lighting under Winter Conditions Andy H. Wong; Davesh Sharma; Omar Kilani; Faeze Momeni Rad; Stephen D. Wong; Tae J. Kwon; Karim El-Basyouny Inclement winter weather poses a safety risk to all road users, primarily due to roads covered with snow or ice and substantially reduced visibility. The winter road maintenance vehicles used are often larger and slower moving than the surrounding traffic and often become a hazard themselves. To enhance visibility and safety, agencies equip their fleets with lighting to make them more visible to the surrounding motorists. In Alberta, Canada, the use of amber-only lights is currently permitted for maintenance vehicles. To evaluate whether the addition of light colors could measurably improve road safety for snowplow trucks and motorists, we conducted a human reaction field study (n=384 trials) and a general public survey (n=454 participants), testing several combinations of light colors. The field experiment revealed that amber-only lights resulted in slower reaction times, whereas amber-blue and amber-white performed better. Survey results demonstrated a preference for amber-white lighting, which was deemed the most effective setup. The survey also indicated that lighting perception varies across age, gender, and specific types of driver’s license among demographics. Although this research identifies optimal lighting configurations and underscores targeted policy-making and operational strategies, its direct impact on road safety remains to be determined. It is possible that shorter perception/reaction times given the lighting changes could reduce the number of collisions. Incorporating these results into existing practices could potentially enhance road safety standards, making winter roads safer across jurisdictions in North America.

2025-01-01T00:00:00Z Xizhen Chen Xumei Chen Jiaxin Ma Konstantinos Gkiotsalitis Lei Yu http://yetl.yabesh.ir/yetl1/handle/yetl/4310107 2026-02-16T22:02:32Z 2025-01-01T00:00:00Z

Design of Flexible Transit with Multitype Stations Considering Spatiotemporal Heterogeneity Xizhen Chen; Xumei Chen; Jiaxin Ma; Konstantinos Gkiotsalitis; Lei Yu Flexible transit is an alternative to fulfilling personalized and uncertain demand. This paper describes the design of a flexible transit system with multitype stations and a hybrid time window operating pattern to accommodate the spatiotemporal heterogeneity of passenger demand. After analyzing data from multiple sources, the fixed transit stations can be selected and classified into critical fixed stations that have strong punctuality requirements and uncritical fixed stations that do not have strong punctuality requirements. Additionally, potential request stations are identified using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. Catering to the benefits to passengers and the operating agency, an optimization model for vehicle scheduling and routing is developed. Subsequently, a genetic algorithm to solve the proposed model is designed. Finally, a detailed application analysis based on real-world data is carried out to validate the proposed flexible transit system. Compared with the other two flexible transit services, the proposed flexible transit service with multitype stations is more effective in terms of reducing the total cost and average passenger waiting time significantly, while guaranteeing the number of passengers served by the flexible transit system. In addition, results indicate that the flexible transit system is able to adapt to varying demand. The flexible transit service proposed in this paper can be applied to most cities characterized by the spatiotemporal heterogeneity of passenger demand, subsequently promoting the development of diversified bus service in these cities.

2025-01-01T00:00:00Z Jianhua Song Bruce Hellinga Qi Cao Gang Ren http://yetl.yabesh.ir/yetl1/handle/yetl/4310106 2026-02-16T22:02:31Z 2025-01-01T00:00:00Z

Queue Length Estimation on Urban Signalized Intersection Combining Automatic Vehicle Identification and Vehicle Trajectory Data Jianhua Song; Bruce Hellinga; Qi Cao; Gang Ren Queue length is one of the indicators of the state of traffic and is often used to measure the operational state of signalized intersections. Many studies have proposed estimating queue length from vehicle trajectory data (e.g., floating car GPS data); however, its sparse spatio-temporal distribution and low sampling frequency present substantial challenges in practice. In some jurisdictions, the widespread deployment of automatic vehicle identification (AVI) technologies presents the opportunity to improve queue length estimation at signalized intersections by combining AVI and trajectory data from floating (probe) vehicles. The method proposed in this paper is applicable for both under and oversaturated traffic conditions, is evaluated using field data [Next Generation Simulation (NGSIM) data set] and simulation data, and is compared to ground truth and the method proposed by the author Tan. The results from the field data evaluation indicate that the method provides a good estimation of the queue size (mean average error less than three vehicles for a floating vehicle penetration rate of 5% and a GPS sampling interval of 10 s). The simulation data evaluation indicated that the proposed method performs better than the Tan’s method.

2025-01-01T00:00:00Z Gregory S. Macfarlane Max Barnes Natalie Gibbons http://yetl.yabesh.ir/yetl1/handle/yetl/4310105 2026-02-16T22:02:28Z 2025-01-01T00:00:00Z

A Utility-Based Approach to Modeling Systemic Resilience of Highway Networks with an Application in Utah Gregory S. Macfarlane; Max Barnes; Natalie Gibbons The resilience of transportation networks is an important consideration in policy, management, and planning, but practical techniques to identify systemically critical links are limited. Further, current practical techniques ignore that when transportation networks are damaged or degraded, people potentially change destinations and modes as well as travel routes. In this research, we develop a model to examine network highway resilience based on changes to mode and destination choice logsums and apply this model to 41 scenarios representing the loss of links on the statewide highway network in Utah. The results of the analysis suggest a fundamentally different prioritization scheme than would be identified solely through a methodology based on increased travel times. Beyond this, the comparable user costs of the logsum method are generally lower than those considering only the value of increased travel times.

2025-01-01T00:00:00Z