Bin Ran

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

PhD

About

479
Publications
73,203
Reads
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7,296
Citations
Additional affiliations
August 1995 - present
University of Wisconsin–Madison
Position
  • Professor (Full)
August 1995 - January 2017
University of Wisconsin–Madison
Position
  • Vilas Distinguished Achievement Professor (Full)

Publications

Publications (479)
Article
Full-text available
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...
Article
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
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...
Preprint
Full-text available
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...
Article
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...
Article
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...
Article
Full-text available
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...
Article
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...
Article
Full-text available
Abstract High‐quality lane‐scale traffic data is of great importance to the intelligent transportation system. However, missing values are sometimes inevitable due to the failure of the detectors or the low penetration rates of the connected automated vehicles. Most existing data recovery methods concentrate on traffic data of a whole section and i...
Article
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Cellular data provide a promising way for congestion detection with low cost and high coverage, and the simulation study is a feasible solution to verify the detection method. This paper presents a simulation approach that uses cellular data to detect traffic congestion on urban arterials based on the relationship between cellular data and traffic...
Article
Full-text available
For the purpose of overcoming the technical bottlenecks and limitations of autonomous vehicles on the information perception, and improving the sensing range and performance of vehicle driving environment and traffic information, a framework of vehicle-infrastructure cooperative perception for the Cooperative Automated Driving System is proposed in...
Article
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal control strategy for connected and automated vehicles (CAVs) under communication failure to stabilize traffic oscillations. Specifically, the signal‐interference‐plus‐noise ratio‐based vehicle‐to‐vehicle communication is incorporated into the DRL training environ...
Article
Real-time and accurate traffic state forecasting of urban roads is of great significance to improve traffic efficiency and optimize travel routes. However, future traffic state forecasting is still a challenging issue as it is influenced by several complicated factors including the dynamic spatio-temporal dependencies. Existing models usually consi...
Conference Paper
Transportation and energy are closely related, especially for electric vehicles, whereas energy consumption is an important factor in the operation of electric vehicles. In order to achieve energy saving with the premise of safety, this paper proposes an eco-driving method in the environment of multi signalized intersections. Reinforcement learning...
Article
Sensing and communication are the two major concerns in vehicle-road collaboration system, whose function realization needs the support of RSE (roadside equipment). A misleading deployment incurs in waste of valuable resources and degradation of the network performance. Based on the combination strategy, this study proposed a hybrid allocation meth...
Article
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...
Article
The bus bunching problem caused by the uncertain interstation travel time and passenger demand rate is a critical issue that impairs transit efficiency. Most current bus control studies focus on single or combined strategies while ignoring the bus system's real-time environmental information. This paper proposed a distributed deep reinforcement lea...
Conference Paper
Irrational signal timing leads to serious traffic congestion. However, the current research on signal timing has limitations on eliminating the dimensional influence between optimization indexes. The value of the index was rarely obtained via simulation before, and the application of Simulink on signal timing is lacking. This paper presents a signa...
Article
Full-text available
Connected vehicle (CV) technologies are changing the form of traditional traffic models. In the CV driving environment, abundant and accurate information is available to vehicles, promoting the development of control strategies and models. Under these circumstances, this paper proposes a bidirectional vehicles information structure (BDVIS) by makin...
Article
Full-text available
This article develops a reservation-based cooperative transit signal priority (RCTSP) mechanism for a bus rapid transit (BRT) system with connected vehicle technology. The RCTSP mechanism is proposed to optimize multiple TSP requests within the same phase in a rolling horizon framework. The overall RCTSP architecture consists of three essential sub...
Article
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for a mixed connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the string stability of mixed traffic, car following efficiency, and energy efficiency. Since the sequences of mixed t...
Article
This study proposes a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario. By assuming the mainline and ramp line are straight, we firstly design a virtual rotation approach that transfers the merging problem to a virtual car following (CF) problem to reduce the complexity and di...
Article
To study the influence of different factors on the fuel consumption of vehicles on the superhighway, and determine the weight of the influence of different factors and the relationship among the factors. Through the literature research and Delphi method, 16 factors affecting fuel consumption were determined, which were divided into four dimensions:...
Article
Full-text available
The intelligent transportation system (ITS) plays an irreplaceable role in alleviating urban traffic congestion and realizing sustainable urban development. Accurate and efficient short-term traffic state forecasting is a significant issue in ITS. This study proposes a novel hybrid model (ELM-IBF) to predict the traffic state on urban expressways b...
Article
Full-text available
Abstract Urban rail transit has become an indispensable mode in major cities worldwide regarding the advantages of large capacity, high speed, punctuality, and environmental protection. Origin‐destination (OD) matrix data is crucial to the organisation of rail train operation and management. Nevertheless, rail transit OD matrices are inevitably suf...
Article
Full-text available
Connected and automated vehicles (CAVs) platoons have been widely researched because of their efficiency advantages. However, most studies mainly focus on the stability control of platoon and there is a lack of in-depth consideration of platoon lane changing. In order to make up for this vacancy, this study focused on the dynamic gap in the platoon...
Article
Precise travel route identification is the guiding basis of feasible urban traffic planning and modeling. A range of map matching (MM) algorithms have been studied in previous research to integrate coordinate-based GPS data with digital road network information to identify personal travel route. However, these methods significantly depend on the hi...
Article
The development and application of autonomous vehicles bring great changes to urban traffic management and control. As one of the bottlenecks to improve transportation efficiency, intersection management plays an important role in the urban city. When the dynamic control method in different cases is determined, the key of autonomous intersection ma...
Article
The development and application of autonomous vehicles bring great changes to urban traffic management and control. As one of the bottlenecks to improve transportation efficiency, intersection management plays an important role in the urban city. When the dynamic control method in different cases is determined, the key of autonomous intersection ma...
Article
Traffic incidents occurring on the road interrupt the smooth mobility of traffic flow and lead to traffic congestion. Although there has been a proliferation of studies that attempt to estimate the spatiotemporal impact of a traffic incident, most, if not all, of them focus exclusively on the differentiation of bi-level traffic status. In this rese...
Article
Trajectory data serving as an essential data-source, has been widely applied in traffic flow analysis, traffic prediction and transportation management. In real situations, trajectory data is often corrupted with noises, which may introduce estimation bias and control inefficiency to intelligent transportation systems. This paper presents a novel t...
Article
Station initial failure induced by load fluctuation can change the balance of metro flow and lead to cascading failure, which brings great risk to metros. In this paper, we analyze metro cascading failure induced by load fluctuation and present a robust station capacity assignment method. A cascading failure model is proposed by considering system...
Article
Queue length estimation is of great importance for measuring traffic signal performance and optimizing traffic signal timing plans. With the development of connected vehicle (CV) technology, using mobile CV data instead of fixed detector data to estimate queue length has become an important research topic. This study focuses on real-time queue leng...
Preprint
Full-text available
We introduce a prioritized system-optimal algorithm for mandatory lane change (MLC) behavior of connected and automated vehicles (CAV) from a dedicated lane. Our approach applies a cooperative lane change that prioritizes the decisions of lane changing vehicles which are closer to the end of the diverging zone (DZ), and optimizes the predicted tota...
Article
Full-text available
Cascading failure in metro networks is a dynamic chain process induced by the interaction of passenger flow and network topology. In this paper, a bi-directional coupled map lattice model is proposed to study the cascading failure of metro networks. The model considers the two-way traffic problem, and the results are closer to those of actual metro...
Preprint
Full-text available
In this study, we propose a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario. By assuming the mainline and ramp line are straight, we firstly design a virtual rotation approach that transfers the merging problem to a virtual car following (CF) problem to reduce the complexity...
Article
Full-text available
Variable speed limit (VSL) control dynamically adjusts the displayed speed limit to harmonize traffic speed, prevent congestions, and reduce crash risks based on prevailing traffic stream and weather conditions. Previous research studies examine the impacts of VSL control on reducing corridor-level crash risks and improving bottleneck throughput. H...
Article
A bi-level multi-target programming model is established for optimization of urban arterial road traffic signal coordination control. The performance index function for optimization is defined to reduce traffic delay and vehicle emissions at intersections. As a result, the optimization traffic signal control strategy can guarantee smooth traffic fl...
Article
Full-text available
Mobile phone data provide a more complete and accurate description of tourism transportation demand than traditional and Internet data sources. In this paper, a framework is proposed to determine spatial correlations between tourism destinations, rest places, and transportation hubs based on mobile phone data. Firstly, nine rules for identifying vi...
Preprint
Vehicle trajectory optimization is essential to ensure vehicles travel efficiently and safely. This paper presents an infrastructure assisted constrained connected automated vehicles (CAVs) trajectory optimization method on curved roads. This paper systematically formulates the problem based on a curvilinear coordinate which is flexible to model co...
Article
Safety and efficiency have always been significant challenges to the development of road traffic. Detailed vehicle motion information is the prerequisite for achieving optimal control of the platoon and improving traffic safety and efficiency. The connected and automated vehicles (CAVs) system has offered unprecedented opportunities for the real-ti...
Article
Full-text available
Highway system is experiencing increasing traffic congestion with fast-growing number of vehicles in metropolitan areas. Implementing traffic management strategies such as utilizing the hard shoulder as an extra lane could increase highway capacity without extra construction work. This paper presents a method of determining an optimal traffic condi...
Article
To solve the problem of insufficient utilization of non-motorized lanes and traffic congestion of motor lanes in the cold areas of northern China, priority lanes for non-motorized vehicles are studied. First, the traffic status of the studied sections and intersections is evaluated through traffic investigations. Then, the non-motorized lanes of th...
Conference Paper
Queue length estimation is of great importance for measuring traffic signal performance and optimizing traffic signal timing plans. With the development of connected vehicle (CV) technology, using mobile CV data instead of fixed detector data to estimate queue length has become an important research topic. This study focuses on real-time queue leng...
Conference Paper
With the development of connected automated vehicles (CAVs) technologies, CAVs trajectories not only provide more real-time information by vehicles to infrastructure (V2I), but also can be controlled and optimized by the infrastructure to vehicles (I2V) to further reduce travel time and gasoline consumption. This paper proposes a two-level model fo...
Article
Full-text available
Platooning is considered to be a very effective method for improving traffic efficiency, traffic safety and fuel economy under the connected and automated environment. The prerequisite for realizing these advantages is how to form a platoon without any collisions and how to maintain and optimize the car-following behavior after platoon formation. H...
Article
Full-text available
Investigation shows that train travel has a lower pollution impact on the environment than flight travel or car travel. A stated preferences (SP) survey can effectively obtain the data of the commuter’s response to the hypothetical train price changes beyond the scope of previous observations. To this end, based on SP survey, we estimate the price...
Article
The macroscopic traffic flow model is the cornerstone of traffic flow theory and can be applied to investigate manytraffic planning and management issues. However, the macroscopic model of the heterogeneous traffic flow has not been profoundly studied. This paper developed a novel macroscopic model of the heterogeneous traffic flow under a partly c...
Article
Full-text available
To improve driving safety on superhighways, longitudinal profile design parameters of a superhighway are calculated via force analysis while a car is driven on a slope. The calculations consider characteristics of drivers, cars, and roads. According to the vehicle type, design speed, and natural conditions, the maximum longitudinal slope of a super...
Article
Full-text available
The increasing vehicle usage has brought about a sharp increase in greenhouse gas (GHG) emissions of vehicles, which brings severe challenges to the sustainable development of road transportation in Chinese counties. Low-carbon transportation planning is an essential strategy for carbon control from the source of carbon emissions and is crucial to...
Article
Lane-level traffic state prediction is one of the most essential issues in the connected automated vehicle highway systems. Accurate and timely traffic state prediction of the lane sections can assist the connected automated vehicles in planning the optimal route and making lane selection. In this article, we tackle the problem of forecasting lane-...
Preprint
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep reinforcement learning (DRL) algorithm, which enhances the string stability of mixed traffic, car following efficiency, and energy efficiency. Since the sequences of mixed...