Bin Ran

University of Wisconsin–Madison | UW · Department of Civil and Environmental Engineering

Provided herein is technology related to a distributed driving system (DDS) that provides transportation management and operations and vehicle control for connected and automated vehicles (CAV) and intelligent road infrastructure systems (IRIS) and particularly, but not exclusively, to methods and systems for sending individual vehicles with custom...

Travel well-being is the subjective feeling of satisfaction that people have while traveling. Previous research focused on its determinants and relationships with subjective well-being ignored. But no quantitative study discusses the effect of characteristics like weekly income and travel time on travel well-being. To demonstrate the quantitative i...

Real‐time and accurate short‐term traffic flow prediction can provide a scientific basis for decision making by travellers and traffic management, and alleviate traffic congestion to a certain extent. The existing traffic flow prediction methods often encounter limitations in real‐time performance and accuracy due to the post‐processing required to...

This study focuses on the potential of connected and automated vehicles (CAVs) to enhance road traffic safety through the provision of rich physical motion state information. Real‐time risk indicators are crucial for improving driving safety and must be tailored to the specific characteristics of the CAV environment. To this end, this paper introdu...

Predicting vehicle trajectories is crucial for ensuring automated vehicle operation efficiency and safety, particularly on congested multi-lane highways. In such dynamic environments, a vehicle's motion is determined by its historical behaviors as well as interactions with surrounding vehicles. These intricate interactions arise from unpredictable...

Oversaturation has become a serious issue for urban intersections worldwide due to the rapid increase in population and traffic demands. The emergence of connected and automated vehicle (CAV) technologies demonstrates the potential to improve oversaturated arterial traffic. Integrating vehicular control and intersection controller optimization into...

Trajectory optimization for connected automated vehicles (CAVs) is an effective method to improve the overall performance of urban traffic. At the same time, the emergence of deep reinforcement learning (DRL) enables agents to learn the optimal strategy in a complex environment by constantly interacting with the environment. In a connected environm...

To alleviate the lane-changing conflicts between weaving vehicles and enhance the traffic efficiency in the weaving section of urban expressway under the connected autonomous vehicle (CAV) environment, a cooperative lane-changing strategy for CAVs is proposed. The strategy consists of an upper layer of decision making, which determines the lane-cha...

Provided herein is technology related to a distributed driving system (DDS) that provides transportation management and operations and vehicle control for connected and automated vehicles (CAV) and intelligent road infrastructure systems (IRIS) and particularly, but not exclusively, to methods and systems for sending individual vehicles with custom...

The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the dri...

Tribal lands in the United States have consistently exhibited higher crash rates and injury severities compared to other regions. To address this issue, effective data-driven safety analysis methods are essential for resource allocation and tribal safety program development. This study outlines the minimum data requirements and presents a generic t...

In the real word, the periodic disturbance in traffic flow caused by disrupting maneuvers has a huge impact on the car-following stability. As analyzed in this paper, the asymptotic stability of a car-following model, quantified by the coefficient of dynamic responses, is relatively low at low disturbing frequencies, and gradually increases as the...

Truck parking along the Mid-America Association of State Transportation (MAASTO) region’s major freight corridors is complicated by an overall deficit in needed parking spaces, delivery staging at major logistic centers or urban areas, and hour-of-service (HOS) compliance. These constraints lead to unauthorized or potentially unauthorized parking....

Due to uncertain factors such as weather, large-scale flight delays will occur on the ground at the airport. A reasonable and effective flight sequence can make the airport resume regular operation as soon as possible. However, limited shuttle bus resources will limit the execution of the flight sequence plan. In order to provide decision support f...

To solve the problems of when to set up connected automated vehicles (CAVs) dedicated lanes and how many CAVs dedicated lanes to set up under different penetration rates of CAVs, this work focuses on modeling the fundamental diagram of mixed traffic flow with dedicated lanes for CAVs. Firstly, the car-following modes and their proportion of mixed t...

Connected automated vehicles (CAVs) are broadly recognized as next-generation transformative transportation technologies having great potential to improve traffic safety, efficiency, and stability. Efficiently controlling CAVs on two-dimensional curvilinear roadways to follow preceding vehicles is denoted as the two-dimensional car-following proces...

Potential field theory, as a theory that can also be applied to vehicle control, is an emerging risk quantification approach to accommodate the connected and self-driving vehicle environment. Vehicles have different risk impact effects on other road participants in each direction under the influence of road rules. This variability exhibited by vehi...

Abstract: Trajectory optimization for connected automated vehicles (CAVs) is an effective method to improve the overall performance of urban traffic. At the same time, the emergence of deep reinforcement learning (DRL) enables agents to learn the optimal strategy in a complex environment by constantly interacting with the environment. In a connecte...

div>The latest developments in vehicle-to-infrastructure (V2I) and vehicle-to-anything (V2X) technologies enable all the entities in the transportation system to communicate and collaborate to optimize transportation safety, mobility, and equity at the system level. On the other hand, the community of researchers and developers is becoming aware of...

With the development of AI, the intelligence level of vehicles is increasing. Structured roads, as common and important traffic scenes, are the most typical application scenarios for realizing autonomous driving. The driving behavior decision-making of intelligent vehicles has always been a controversial and difficult research topic. Currently, the...

The strength of connected automated vehicles (CAVs) clustering, namely, platoon intensity, has an essential impact on the traffic capacity, safety, and stability of the mixed traffic flow with CAVs and human-driven vehicles (HDVs). This article proposes the definition, formulas, examples, analysis, and applications of CAV platoon intensity. Firstly...

This paper proposes an innovative distributed longitudinal control strategy for connected automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven vehicles (HDVs), incorporating high-dimensional platoon information. For mixed traffic, the traditional CAV control method focuses on microscopic trajectory information, which m...

Accurate and reliable traffic state identification is the prerequisite for developing intelligent traffic programs. With the improvement of intelligent traffic control measures, the traffic state of some highways has gradually stabilized. The current research on traffic state identification needs to fully meet the highly informative intelligent tra...

Autonomous intersection management has become a state-of-the-art control strategy customized for connected and autonomous vehicles. Combining the advantages of tile-based and conflict point-based approaches, this paper proposes a two-stage optimization method based on a developed intersection modeling approach. The first stage is a timing schedule...

Autonomous intersection management has become a state-of-the-art control strategy customized for connected and autonomous vehicles. Combining the advantages of tile-based and conflict point-based approaches, this paper proposes a two-stage optimization method based on a developed intersection modeling approach. The first stage is a timing schedule...

Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior of the host vehicle using the information of its nearest preceding vehicle. While the other pre...

Vehicle trajectory prediction is crucial and indispensable for ensuring the safe and efficient operation of autonomous vehicles in complex traffic environments. The application of IoT technology in the collaborative automated driving system (CADS) has established a robust data foundation for vehicle trajectory prediction. Accurate prediction requir...

Vehicular Ad hoc Networks (VANETs) in intelligent transportation systems have been regarded as an effective means to alleviate traffic congestion, reduce traffic accidents and save fuel. A proper roadside unit (RSU) deployment strategy is essential to improve the efficiency and stability of VANETs’ communication. However, the RSU deployment strateg...

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a connected reference marker technology configured to serve automated driving systems by providing, supplementing, and/or enhancing autonomous driving functions for connected automated vehicles under normal and abnormal driving scenarios.

Traffic flow detection methods tend to be diversified and intelligent, and the data anomalies become a prominent problem due to the influence of equipment, network and environment. Recovering abnormal data to obtain complete and accurate traffic flow data is crucial for traffic flow research work. To address this issue, traditional and mainstream t...

To investigate the microscopic-state evolution mechanism of mixed traffic flow composed of Connected and Automated Vehicles (CAVs) and Human Driven Vehicles (HDVs) in the intelligent and connected environment, this paper proposed a safety potential field-NaSch (SPF-NS) model for mixed traffic flow based on potential field theory. The model introduc...

The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the dri...

The invention provides systems and methods for an Intelligent Road Infrastructure System (IRIS), which facilitates vehicle operations and control for connected automated vehicle highway (CAVH) systems. IRIS systems and methods provide vehicles with individually customized information and real-time control instructions for vehicle to fulfill the dri...

To solve the problems of when to set up connected automated vehicles (CAVs) dedicated lanes and how many CAVs dedicated lanes to set up under different penetration rates of CAVs, this work focuses on modeling the fundamental diagram of mixed traffic flow with dedicated lanes for CAVs. Firstly, the car-following modes and their proportion of mixed t...

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a Vehicle Intelligent Unit (VIU) configured to provide vehicle operations and control for Connected Automated Vehicles (CAV) and, more particularly, to a VIU configured to connect with a Collaborative Automated Driving System (CADS) and manage and/...

With the development of connected vehicles and automated driving technologies, connected automated vehicle (CAV) can not only provide its own trajectory, but also obtain the exact trajectories of vehicles within its detection range. However, trajectory data collected by this method is minimal due to the low penetration rates (PRs) of CAVs, and fail...

Traffic safety is an important factor in reducing death and building a harmonious society. In addition to studies of accident incidences, perception of driving risk is of great significance to guide the implementation of appropriate driving countermeasures. Benefitting from rapid development of communication technology and computing capabilities, r...

Traffic safety is important in reducing death and building a harmonious society. In addition to studies of accident incidences, the perception of driving risk is significant in guiding the implementation of appropriate driving countermeasures. Risk assessment can be conducted in real-time for traffic safety due to the rapid development of communica...

In the conventional variable speed limit (VSL) strategy, the control area is fixed under confined conditions. With the facility of the roadside unit, the control area for the VSL will vary in real-time in the connected environment. This study proposed an extended model-based VSL controller to improve traffic efficiency in the connected environment....

Road pricing has received increasing attention for traffic congestion mitigation, but traffic demand uncertainties cause a profound impact on its effectiveness. This study proposes a link-based time-of-day pricing distributionally robust simulation-based optimization (DRSO) model to minimize the worst-case expected total travel time (TTT). This mod...

This paper presents a vehicle speed guidance method based on the cooperative vehicle infrastructure system (CVIS) at signalized intersections. Firstly, three speed guidance strategies are proposed to divide the vehicles at the signalized intersection into different fleets. Secondly, we establish an improved car-following model for each guidance str...

Uncoordinated merging of different directions vehicles at the ramp is one of the main reasons resulting in the traffic oscillations phenomenon, which directly influences travel time and fuel consumption of vehicles. Emerging connected autonomous vehicles (CAVs) and Vehicle to Everything (V2X) communication technologies provide the possibility for d...

The establishment of curb parking spaces can effectively relieve the tight situation of urban parking supply and demand. However, road resources are always limited. As parking spaces occupy road resources and squeeze road width, the capacity of road sections will be reduced. It is of theoretical significance and practical value to study the influen...

Recent advances in deep reinforcement learning have shown promising results in solving sophisticated control problems with high dimensional states and action space. Inspired by this, we use the latest deep reinforcement learning (DRL) methods to improve freeway traffic mobility and alleviate recurring bottlenecks and congestion. More specifically,...

Dedicated left‐turn lanes are traditionally used at intersections. This practice may not be optimal where heavy traffic exists from multiple directions. As is well known, the capacity can be increased if vehicles are grouped in the same direction in advance, but the additional infrastructure is usually needed, such as presignal systems. Fortunately...

Provided herein is technology relating to automated driving and particularly, but not exclusively, to a system configured to provide full vehicle operations and control for connected and automated vehicles (CAV) and, more particularly, to a system configured to manage and/or control CAV by sending individual vehicles with detailed and time-sensitiv...

The intersection is a critical traffic problem from the perspective of safety and traffic efficiency. As wireless communication technology advances, vehicle infrastructure cooperative approaches have received increased attention. In this paper, we propose a cooperative critical turning point method to help the cooperation between vehicles and infra...

Cruising for parking creates a moving queue of cars that are waiting for vacated parking spaces, but no one can see how many cruisers are in the queue because they are mixed with normal cars. In order to mitigate the influence of cruising for parking on normal cars, the simulation framework based on VISSIM was proposed for reproducing the cruising...

The connected automated vehicle platoon is a critical organizational form of the intelligent transportation system in the future. Considering the platoon size and intensity of connected automated vehicles (CAVs), this paper studies the fundamental diagram and stability of mixed traffic flow. Firstly, the spatial distribution of vehicles in the mixe...

The technology relates to a systematic intelligent system (SIS) configured to share data and allocate computing resources among automated driving systems (ADS), eg, using unified data specifications and interfaces. The SIS comprises systematic intelligent units (STU) that serve components of ADS, including vehicle intelligent units (VIU) and roadsi...

Connected technology enhances the sensing capabilities of vehicles and enables them to access information not only from the front direction but also from the back direction. This paper presents a car-following model using the bidirectional information in the connected environment, called the bidirectional distance balanced model (BDBM). Based on th...

This paper proposes an innovative distributed longitudinal control strategy for connected automated vehicles (CAVs) in the mixed traffic environment of CAV and human‐driven vehicles (HDVs), incorporating high‐dimensional platoon information. For mixed traffic, the traditional CAV control method focuses on microscopic trajectory information, which m...

Work zones are essential to maintain and improve road infrastructure. However, work zones affect traffic safety, and crashes and fatalities associated with work zones in the U.S.A. have increased substantially. Most existing work zone crash studies are not able to support the improvement of work zone planning and configuration, despite providing in...

This paper presents a constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads with infrastructure assistance. Specifically, this paper systematically formulates trajectory optimization problems in a spatial domain and a curvilinear coordinate. As an alternative of temporal domain and Cartesian coordinate formu...

Vehicle trajectory generation and anomaly detection are critical in the sensing and prediction module for automated driving. However, developing models that capture realistic trajectory data distribution and detect anomalous driving behaviors could be challenging. This paper proposes 'TrajGAN,' an unsupervised approach based on the Generative Adver...

The purpose of this paper is to analyze the complex coupling relationships among accident factors contributing to the automobile and two-wheeler traffic accidents by establishing the Bayesian network (BN) model of the severity of traffic accidents, so as to minimize the negative impact of automobile to two-wheeler traffic accidents. According to th...

One problem associated with the operation of electric vehicles (EVs) is the limited battery, which cannot guarantee their endurance. The increasing electricity consumption will also impose a burden on economy and ecology of the vehicles. To achieve energy saving, this paper proposes an adaptive eco-driving method in the environment of signalized co...

In recent years, automated vehicles have attracted much attention all over the world. This paper focuses on the freeway-exiting position decision problem of automated vehicles (AVs). Specifically, the paper addresses the determination of the lane-changing initiation location in the process of exiting the freeway. The location of the freeway-exiting...

Timely and precise traffic state estimation of urban roads is significant for urban traffic management and operation. However, most of the advanced studies focus on building complex deep learning structures to learn the spatiotemporal feature of the urban traffic flow, ignoring improving the efficiency of the traffic state estimation. Considering t...

Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.

This article aims to analyze the factors affecting the LOS (level of service) of non-motorized vehicles crossing the signalized intersection and to construct an appropriate method to evaluate the LOS. Aiming at the mixed non-motorized traffic flow of electric vehicles and bicycles in the Chinese metropolis, the delay model in the highway capacity m...

Vehicle trajectory prediction is essential for the operation safety and control efficiency of automated driving. Prevailing studies predict car following and lane change processes in a separate manner, ignoring the dependencies of these two behaviors. To remedy this issue, this paper proposes an integrated deep learning-based two-dimension trajecto...