Article
Transportation Science & Technology
Shantanu Chakraborty, David Rey, Michael W. Levin, S. Travis Waller
Summary: The study proposes a mixed-integer programming framework for optimal AV-exclusive lane design, considering commuters' demand split among AVs and LVs through a logit model and using link transmission model and Benders' decomposition approach to tackle this challenging optimization problem.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Ergonomics
Xuesong Wang, Zhigui Chen, Qiming Guo, Andrew Tarko, Cristhian Lizarazo, Xiaomeng Wang
Summary: This study introduces a continuous speed model as a more representative alternative for complex roads, showing its advantages over the spot-based model in predicting operating speeds.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Physics, Multidisciplinary
Ruicheng Lu, Minghui Ma, Yansong Wang, Jiaxuan Lu, Shidong Liang
Summary: Variable speed limit (VSL) control is expected to improve traffic mobility and safety on freeways, especially at bottlenecks. However, the effectiveness of VSL is reduced due to unstable input flow when the number of speed limit areas is fixed. In this paper, a dynamic speed limit area strategy is proposed to strengthen the VSL control effect by redefining and dividing the speed limit areas into three types based on the road's transmission capability. The strategy optimizes the speed limit value and the number of speed limit areas using predictive control and has shown to improve freeway safety and efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Review
Chemistry, Physical
Anass Benayad, Diddo Diddens, Andreas Heuer, Anand Narayanan Krishnamoorthy, Moumita Maiti, Frederic Le Cras, Maxime Legallais, Fuzhan Rahmanian, Yuyoung Shin, Helge Stein, Martin Winter, Christian Wolke, Peng Yan, Isidora Cekic-Laskovic
Summary: The timely arrival of novel materials is crucial for technological breakthroughs, with high-throughput experimentation and computation strategies accelerating the discovery and optimization of materials. However, adapting algorithms and integrating with machine learning are necessary for optimal data leverage in advanced battery electrolytes development.
ADVANCED ENERGY MATERIALS
(2022)
Article
Economics
Monica Ramirez Ibarra, Jean-Daniel M. Saphores
Summary: Electrification and connectivity in trucking can reduce costs, environmental impact, and improve road safety. By replacing conventional trucks with electric/hydrogen trucks and improving selected ramps, the forecasted increase in drayage demand for 2035 can be accommodated without adding new lanes to existing roads. The importance of considering the impact of new vehicle technologies on speed in infrastructure planning is highlighted.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Civil
Yanyan Chen, Hengyi Zhang, Dongzhu Wang, Jiachen Wang
Summary: With the development of CAV technology, setting up CAV dedicated lanes can reduce the negative impact of heterogeneous traffic flow on CAVs. When the CAV penetration rate is between 40% and 60% and the density is not less than 30 veh/km/lane, setting up one CAV dedicated lane is the best choice. When the CAV penetration rate exceeds 60% and the density is not less than 40 veh/km/lane, setting up two CAV dedicated lanes is the best choice.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Green & Sustainable Science & Technology
Jun Niu, Shan Lin, Erlong Lou, Zongdian Li, Kaiqun Chen, Haijian Li
Summary: A variable speed limit system suitable for freeway bottleneck areas was constructed and tested using VISSIM microscopic traffic simulation software. The research showed that reasonable speed limits could effectively reduce roadway delays and improve operational efficiency in certain traffic flow ranges.
Article
Engineering, Civil
Scott Himes, James A. Bonneson, Vikash Gayah, Cathy Liu
Summary: This paper describes the development of a safety prediction method for highways with HO lanes, which can assist transportation departments in considering safety performance impacts during planning, designing, and operating freeway facilities with HO lanes.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Yi Guo, Jiaqi Ma, Edward Leslie, Zhitong Huang
Summary: The purpose of this study is to define the operational concept of connected automated vehicle (CAV) operation on freeway managed lanes. Through microscopic simulation, the study examines the effectiveness of CAV applications, including cooperative adaptive cruise control (CACC), cooperative merge, and speed harmonization, under different penetration rates. Simulation results show that these applications can improve system throughput and reduce delay, with speed harmonization having the greatest effects on delay reduction at medium-to-high penetration rates.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Ergonomics
Husam Muslim, Cho Kiu Leung, Makoto Itoh
Summary: This study analyzed the impact of cooperative human-machine interface designs on drivers' trust in and interaction with automated driving systems during lane changes on highways. While drivers preferred and trusted certain ADS designs, the results showed improvements in driving performance and system usage under other designs, particularly with ADS-3 which improved driver engagement and reduced the requirement for control transfer.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Transportation
Hyeon-Shic Shin, Seyedehsan Dadvar, Shilpi Bharti, Young-Jae Lee
Summary: This research successfully developed local calibration factors (LCFs) for rural and urban arterials and highways in the State of Maryland. The study computed LCFs for freeway segments, speed-change lanes, and ramp terminals to adjust predicted motor vehicle crashes. The main contribution of this article is providing a detailed case study of the calibration effort with the HSM Supplement models and discussing the current state of HSM Supplement adoption by different states.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Engineering, Electrical & Electronic
Yingshi Guo, Menglu Gu, Chang Wang, Yanqi Su, Rui Fu, Wei Yuan
Summary: Traffic accidents and near-crashes during lane-changing maneuvers are often caused by merging vehicles on freeway acceleration lanes. Understanding the driving behaviors in different merging scenarios can help develop merging decision assistance technologies. Statistical analysis revealed that the presence of leading vehicles on the mainline did not significantly affect the merge position of the merging vehicle. A merging decision model was developed using an adaptive boosting model, which showed an overall accuracy of 98.9%.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Geological
Rashad Sawires, Jose A. Pelaez, Miguel A. Santoyo
Summary: An updated probabilistic seismic hazard analysis was conducted for Western Mexico, providing peak ground acceleration and spectral acceleration values for different site classes. The study identified the southwestern coast as the highest hazard area, which was confirmed by the recent Mw 7.6 earthquake on September 19, 2022. The results contribute to a better understanding of seismic hazard in the region and propose a new design response spectrum.
ENGINEERING GEOLOGY
(2023)
Article
Engineering, Civil
Goodarz Mehr, Azim Eskandarian
Summary: Sentinel is an onboard system for intelligent vehicles that guides lane changing behavior during freeway incidents, reducing traffic congestion and improving capacity. When used in conjunction with Traffic Incident Management Systems, it can significantly reduce traffic delay.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Afshin Pakzadnia, Yasser Hassan
Summary: This study evaluates different merging solutions in a mixed traffic environment to reduce conflicts between merging vehicles and mainline traffic. The probability of noncompliance (PNC) is used as a safety measure. Simulation and collision data analysis confirm the efficacy of PNC as a surrogate measure for expected collision frequency. The study shows that implementing merging management strategies improves safety performance during the transition from driver-operated vehicles (DVs) to connected autonomous vehicles (CAVs).
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Engineering, Civil
Iyad Sahnoon, Mohamed Sarhan, Hany M. Hassan, Atef Garib, Hussain Al Harthei
TRANSPORTATION RESEARCH RECORD
(2016)
Article
Engineering, Civil
Bashar Dhahir, Yasser Hassan
TRANSPORTATION RESEARCH RECORD
(2016)
Article
Engineering, Civil
Bashar Dhahir, Yasser Hassan
TRANSPORTATION RESEARCH RECORD
(2018)
Article
Engineering, Civil
Bashar Dhahir, Yasser Hassan
TRANSPORTATION RESEARCH RECORD
(2019)
Editorial Material
Engineering, Civil
Ali Tizghadam, Hamzeh Khazaei, Mohammad H. Y. Moghaddam, Yasser Hassan
JOURNAL OF ADVANCED TRANSPORTATION
(2019)
Article
Engineering, Civil
Bashar Dhahir, Yasser Hassan
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2019)
Article
Engineering, Civil
Fayez Alamry, Yasser Hassan
Summary: This paper presents a detailed methodological framework for collecting microscopic driver and vehicle behavior data over a long road segment using unmanned aerial vehicles (UAVs). The proposed methodology is able to overcome various challenges and has been verified to perform well in experiments.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Afshin Pakzadnia, Saad Roustom, Yasser Hassan
Summary: This study introduces several strategies for on-ramp vehicles to merge safely and efficiently with the mainline in a mixed traffic environment, and finds that the strategies are affected by CAV penetration rate and traffic management strategy.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Mohannad Alyamani, Yasser Hassan
Summary: This study examined driver behavior on freeway entrance ramp terminals using data from the SHRP-2 Naturalistic Driving Study (NDS) database from two different US states. It found a trend of continuous vehicle acceleration on the ramp controlling curve and that some drivers tended to merge onto the freeway right lane (FRL) on the taper after the speed change lane (SCL) had ended. The speed and acceleration behavior of drivers varied across different sites, depending on the geometric characteristics.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2021)
Article
Engineering, Civil
Mohannad Alyamani, Yasser Hassan
Summary: This paper investigates driver behavior at freeway exit ramp terminals using trip data from the SHRP-2 Naturalistic Driving Study database. The study finds that drivers exhibit continuous deceleration as they navigate the speed change lane and the ramp, and some drivers tend to diverge onto the speed change lane before it has begun. Statistical analysis shows that the speed measures of driver behavior follow a normal distribution, and the speed and deceleration measures at different study sites are significantly different. Prediction models for the speed and deceleration measures are developed, taking into account the repeated measures induced by the same drivers in the dataset.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Engineering, Civil
Afshin Pakzadnia, Yasser Hassan
Summary: This study evaluates different merging solutions in a mixed traffic environment to reduce conflicts between merging vehicles and mainline traffic. The probability of noncompliance (PNC) is used as a safety measure. Simulation and collision data analysis confirm the efficacy of PNC as a surrogate measure for expected collision frequency. The study shows that implementing merging management strategies improves safety performance during the transition from driver-operated vehicles (DVs) to connected autonomous vehicles (CAVs).
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Engineering, Civil
Fayez Alamry, Yasser Hassan
Summary: Understanding drivers' behavior when exiting freeways and interacting with deceleration speed-change lanes (SCL) and ramp controlling features is crucial for designing exit ramp terminals that meet drivers' expectations and needs. This study collected trajectory data from unmanned aerial vehicles (UAVs) to analyze drivers' diverging behavior along exit ramp terminal segments, including the freeway right lane (FRL), SCL, and ramps. The analysis revealed that drivers tend to start decelerating on the FRL when exiting freeways at taper-type SCLs, impacting the speeds of nonexiting vehicles, whereas this behavior was not observed at parallel-type SCLs. The findings emphasize the importance of considering ramp controlling features in the design of deceleration speed-change lanes.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Ergonomics
Bashar Dhahir, Yasser Hassan
ACCIDENT ANALYSIS AND PREVENTION
(2019)
Article
Ergonomics
Bashar Dhahir, Yasser Hassan
ACCIDENT ANALYSIS AND PREVENTION
(2019)
Article
Engineering, Civil
Moustafa Awadalla, A. O. Abd El Halim, Yasser Hassan, Imran Bashir, Frank Pinder
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2017)