Yongfeng Ma

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• Doctor of Philosophy
• Professor (Associate) at Southeast University

Aggressive driving, amongst all driving behaviors, is largely responsible for leading to traffic accidents. With the objective to improve road safety, this paper develops an on-line approach for vehicle running state monitoring and aggressive driving identification, using kinematic parameters captured by the in-vehicle recorder under naturalistic d...

As a product of the shared economy, online car-hailing platforms can be used effectively to help maximize resources and alleviate traffic congestion. The driver’s behavior is characterized by his or her driving style and plays an important role in traffic safety. This paper proposes a novel framework to classify driving styles (defined as aggressiv...

Traffic accidents are likely to occur on sharp curves under poor driving conditions, and the severity level of such accidents is high. Therefore, predicting the risk associated with driving on curved roadways in real time can effectively improve driving safety. This paper aims to develop a dynamic real-time method that fuses multiple data sources t...

The prediction of the likelihood of vehicle crashes constitutes an indispensable component of freeway safety management. Due to data collection limitations, studies have used mainly traffic flow-related variables to develop freeway crash prediction models but rarely have considered the effect of risky driving behavior on the likelihood of crashes....

div class="section abstract"> The interaction between heavy-duty vehicles turning right and non-motor vehicles going straight has led to severe traffic crashes. It is essential to evaluate the driving risk of heavy-duty vehicles in the right-turn phase. Increasingly, studies have explored some indicators associated with driving risk. Based on natur...

Driving behavior analysis and identification are of great significance for improving traffic safety and reducing fuel consumption. Existing methods primarily focused on the driving behavior of light-duty vehicles based on analysis methods using simulation or questionnaire data, while heavy-duty vehicles, which bear significant responsibility for fa...

Accurate identification of high fuel consumption driving behaviors provides good theoretical support for eco-driving training. To gain a deeper understanding of contributing factors and their impacts on fuel consumption, this study acquired a driving data set based on a driving simulator test and employed the light gradient-boosting machine (LightG...

Objectives: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions, addressing the challenge of collecting sufficient data in abnormal weather. Methods: Driving da...

Analyzing the influencing factors of fuel consumption helps to formulate reasonable energy-saving measures to reduce the fuel consumption. This paper examines the influence of multi-dimensional features on fuel consumption. Then, fuel consumption under different road characteristics is modeled based on correlation analysis and multiple linear regre...

On a global scale, four constituents of greenhouse gas (GHGs) namely, carbon dioxide (CO2), nitrous oxide (N2O), methane (CH4) and fluorinated gases (F-gases) have undergone significant rise due to human activities. CO2 from road transport is the main contributor among constituents for GHGs emissions. The current study analyzed 42 fueling vehicles...

Emotion is an important factor that can lead to the occurrence of aggressive driving. This paper proposes an association rule mining-based method for analysing contributing factors associated with aggressive driving behaviour among online car-hailing drivers. We collected drivers' emotion data in real time in a natural driving setting. The findings...

Accurate identification of high fuel consumption driving behaviors provides good theoretical support for eco-driving training. To gain a deeper understanding of contributing factors and their impacts on fuel consumption, this study acquired a driving data set based on a driving simulator test and employed the light gradient-boosting machine (LightG...

Travel well-being (TWB) is an important aspect in human life, particularly in travel behavior. This study quantifies TWB using travel, personal and family attributes by employing structural equation modeling (SEM) approach. For this purpose, recent American time use survey (ATUS) dataset consists of 44 parameters was utilized for analysis. The oute...

Aggressive driving significantly impacts traffic safety, and heavy‐duty vehicle drivers are more liable for causing serious crashes. This paper analyzes drivers' aggressive driving behavior from the vehicle type perspective and identifies the influencing factors of aggressive driving behavior through artificial neural network (ANN) and Shapley addi...

The shared parking mode represents a feasible solution to the persistent problem of parking scarcity in urban areas. This paper aims to examine the shared parking choice behaviours using a combination of structural equation modelling (SEM) and neural network, taking into account both the parking location characteristics and the travellers’ characte...

With the rapid development of online car‐hailing, the related crashes have become a key issue with public concern. Identifying and predicting aggressive driving behaviors is critical to reduce traffic crashes. In this study, we propose a method to recognize aggressive driving behavior based on association classification, with multisource features b...

Objective With the increase in aging populations worldwide, the travel well-being of the elders has gained attention. The objective of this study is to examine the nonlinear relationships between the well-being of the older people in China and factors associated with travel and health. Method Based on the data collected in China, combined embedded...

This study aims to explore the association between distracted driving (including cognitive, visual, operational, and auditory distractions) and multi-source features of ride-hailing drivers, and to discover frequent patterns of distracted driving. To achieve this, a natural driving experiment was conducted, and an association rule mining (‘Apriori’...

In the effort to urgently develop new and improved methodologies to compute and assess CO2 emissions from transportation, results have been less than ideal; this article provides a review of the methodologies currently available. When it comes to the discharge of harmful gases into the air, transportation is the biggest offender. Methods are still...

With the rapid development of online car-hailing, car-hailing-related crashes have become a key issue with public concern. Identifying and predicting aggressive driving behaviors is critical to reducing traffic crashes. In this paper, we propose a method to recognize aggressive driving behavior based on association classification that integrates mu...

Due to the complexity of experiments to test driving behaviors and the high cost of data collection for some types of vehicles, e.g., heavy-duty freight vehicles, it is normally hard to develop a model with a small size of samples for higher performance to correctly recognize driving behavior patterns. This paper proposes an effective recognition m...

With the acceleration of urbanization, the demand for heavy-duty trucks has increased and transportation safety and management issues are facing large challenges. The heavy-duty truck driver’s behavior is characterized by his or her driving style and plays an important role in driving safety. Consequently, this paper proposes a novel framework to c...

The emergence of taxi requesting service have changed the situation of traditional taxis. Nowadays, it has gained great popularity all over the world. As more people use this service, some problems spring up gradually and the imbalance between supply and demand is one of the most serious ones. It is urgent for researchers to solve this problem beca...

In developing countries, heavy-duty trucks play an important role in transportation for infrastructure construction. However, frequent truck accidents cause great losses. Previous studies have mainly focused on passenger drivers; to date, little has been done to assess the driving behavior of heavy truck drivers. The overall objective of this study...

Traveler emotional well-being as a specific domain of subjective well-being has attracted attention across the field of transportation. Studies on identifying factors of travel-related emotional well-being can help policy makers to formulate concrete strategies to improve travelers’ experiences and public health. This research used the Maximal Info...

Heavy-duty trucks have a high risk of accidents and a high probability of serious accidents. These can easily cause major life and economic losses. The transportation-safety management of heavy-duty trucks is challenging. To explore the relationship between the driving stability of heavy-duty truck drivers and related influencing factors, this stud...

Real-time driving behavior identification has a wide range of applications in monitoring driver states and predicting driving risks. In contrast to the traditional approaches that were mostly based on a single data source with poor identification capabilities, this paper innovatively integrates driver expression into driving behavior identification...

People with visual impairment cannot easily obtain external information through vision and thus they face more challenges when traveling than sighted people. The travel environment for people with visual impairment includes pedestrian safety concerns, especially when crossing roads at intersections. Tactile paving can be used as a guidance cue for...

Free-floating bike-sharing systems have rapidly gained popularity as a viable short-distance transportation mode. As users play a significant role in the movement of the bikes in such a system, the basis for evaluating bike usage is to predict the gap between the locking and unlocking behaviour in a specified grid, which is defined as the inflow an...

Aggressive driving is common across the world. While most aggressive driving is conscious, some aggressive driving behavior may be unconscious on part of motor vehicle drivers. Perceptual bias of aggressive driving behavior is one of the main causes of traffic accidents. This paper focuses on identifying impact factors related to aggressive driving...

Urban expressway weaving sections suffer from a high crash risk in urban transportation systems. Studying driving behavior is an important approach to solve safety and efficiency issues at expressway weaving sections. This study aimed to investigate the influence of drivers’ individual differences on diverging behavior at expressway weaving section...

Risky driving behavior of taxi drivers typically evaluated for full operation or sometimes sorted into occupied and empty running trips. In this paper, we simultaneously analyze aggressive driving and distracted driving of taxi drivers under three different trip categories. Trip origin is considered a transition from without ride-order to with ride...

Interchanges are important highway facilities by connecting two or more freeways/expressways; however, it has been considered more dangerous than basic segments because of drivers’ decision-making to stay or exit, weaving, variations in speeds, etc. In this study, we aim at contributing to the literature by using a quasi-induced exposure method and...

In this study, a new application of tactile paving, street-crossing tactile paving, was proposed for street-crossing locations. The study aims to identify the characteristics considered by people with visual impairment in their effectiveness evaluation of the street-crossing tactile paving. Data were analyzed by structural equation model. The resul...

Free-floating bike-sharing system (FFBSS) has been popularized rapidly as a newly arisen short-distance transportation mode. However, over-delivery of bikes also brings many problems. Evaluating the usage of bikes is the basis for delivery and relocating. Since users play a significant role in the movement of the bike, it is necessary to consider t...

Objective: Ramp drivers have to merge into the through traffic in a limited time and space at interchange merging areas. Different merging decisions are made due to drivers’ various perception abilities of potential danger, which might significantly increase the crash risk. Driving assistance technology (DA) is expected to be an effective way of mi...

Traffic crashes occur frequently in expressway diverging areas. The influential factors for traffic crashes in expressway diverging areas were investigated in this study using vehicle trajectory data. An hourly conflict risk index (HCRI) was introduced to develop a traffic conflict prediction model for expressway diverging areas. The data collector...

Traffic state in the urban network is a direct reflection of the operational efficiency of the urban transportation system. As the busiest period of the day, traffic states during evening peak hours can effectively measure the capacity and efficiency of the transportation system. The primary objective of this study is to investigate how the potenti...

As an emerging travel mode, online car-hailing plays an increasingly important role in people's daily travel. Car-hailing data provide a new source to study human mobility in urban areas. This study focuses on identifying the distribution of regions with high travel intensity and the correlation between travel intensity and points of interest (POIs...

Suburban arterial highways are usually characterized by mixed traffic environments, which is a major contributor to traffic crashes. It has been known that speed dispersion as a surrogate safety measure has a strong correlation with safety. The objective of this study is to identify the influencing factors of speed dispersion for suburban arterial...

Many crashes occur around freeway exit ramp areas in China due to excessive speeds and large speed variances. Traditionally, a single posted ramp speed limit sign is installed around the physical gore area to manage the speed. To address this issue, the study presented in this paper proposes the use of an advisory exit speed sign (AESS), which is a...

Traffic safety is a wide concern that influences the residents’ life and property. Low-grade highways in China have characteristics like long mileage, more accidents, and low traffic safety levels. This paper investigates the influencing factors for traffic accidents on low-grade highways using association analysis. The Apriori algorithm was optimi...

In recent years, traffic accidents caused by random crossings in towns and villages have occurred frequently, but studies have paid less attention to pedestrian crossing behavior in low-grade highway segments of these areas. This paper aims to analyze the characteristics of pedestrian crossing behavior and their preference for crossing facilities i...

As ventilation shafts set at the top of urban tunnels becomes a common pattern for ventilation, the sunlight cast under the shafts could cause sun glares which negatively affect the driver's visual performance. In this paper, the influence of sun glare on individual drivers in urban tunnels is quantitatively illustrated by the change rate of driver...

Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for leading to traffic accidents, which threatens both safety and property of human beings. With the objective to reduce traffic accidents and improve road safety, effective and reliable aggressive driving recognition methods, which enables the development of drivin...

With the rapid growth of vehicles, signalized intersection congestion is getting worse. Variable approach-lanes were applied as one of the new engineering measures, which can adjust the steering function of the approaches (generally left-turn/straight and right-turn/straight) according to the traffic flow in different directions at different time p...

To increase the capacity and to improve the safety on suburban highway, this paper proposes a classification method for access on suburban highway based on the roadside land use type. Considering the standards in China and the field survey, three access categories are defined as follows: Category 1: large residential district or business district;...

With the process of urbanization rapid progress and the increase of residents’ travel demand and motorization, the access design speed and the key geometric design parameters of the level and cross-sectional plane were recommended according to the typical traffic safety environment and traffic operation features on the urban fringe villages and low...

With the advancement of mechanization process, road in rural–urban fringe has become an area where traffic accidents happen frequently, and overspeed is the primary cause for fatal traffic accidents. In order to improve the traffic safety level of low-grade roads in rural–urban fringe, speed control measures should be selected scientifically and re...

A traffic safety prediction model for the freeway interchange diverging area was established based on traffic conflict technology. Traffic conflict technology is a traditional, non-accident traffic safety evaluation method in which time to collision (TTC) is determined by a traffic conflict evaluation index. Using unmanned aerial vehicle (UAV) phot...

The aim of this paper is to study the headway distribution of queued vehicles (less than 16 vehicles) at signalized intersections. Existing studies usually take the average statistics of headway at any queuing place. When different percentile points of statistical data are assigned to headway, the passing rate (the rate of all queued vehicles passi...

Growing traffic in China has resulted in a demand for freeway exit ramps with higher capacity in order to avoid congestion. The right single-lane exit ramp is the most common style of the freeway exit ramp which can be divided into two types: taper-type single-lane exit ramp and parallel-type single-lane exit ramp. The main objective of the paper w...

Congestion Pricing has been implemented in many foreign countries while there is still no successful practice in China. As we know, recognition of public is crucial to the measure. So this paper analyzed the subjective feasibility of Congestion Pricing by establishing an evaluation index system and building a Structural Equation Modeling to demonst...

This paper evaluates the traffic safety of freeway interchange merging areas based on the traffic conflict technique. The hourly composite risk indexes (HCRI) was defined. By the use of unmanned aerial vehicle (UAV) photography and video processing techniques, the conflict type and severity was judged. Time to collision (TTC) was determined with th...

Supplemental signals have been widely used at intersections to reduce the impact of heavy vehicles. This study aims to measure the effects of supplemental signals on Start-Up Lost Time (SULT). A corrected method of calculating SULT considering heavy vehicles are presented. The method also introduce into basic saturation headways, locations of the h...

In order to improve the smoothness of traffic flow on bidirectional two-lane highways, an analytical method is proposed to optimize the minimum spacing of the signalized intersections. The minimum signal spacing is determined by two parts, including the necessary distance for stabilizing the traffic flow after it passes through the signalized inter...

This study aimed to calibrate saturation flow rate (SFR) and start-up lost time (SLT) when developing signal timing. In current commonly used methods, SFR for one given lane is usually calibrated from many subjective adjustment factors and a fixed result. SLT is calculated based on the fixed SFR, which prevents local applications in China. Consider...

To make freeway safety facilities function well, field survey is carried out to evaluate the maintenance quality of freeway safety facilities. In traditional models, the same weight values are assigned to the safety facilities while evaluating without considering the functional differences of different facilities. The paper develops the maintenance...

Warning signs are effective only when users clearly understand their meaning. Three experiments were conducted in this study. In the first, the perception accuracy of warning signs was tested. This study investigated the role of age, gender, education background, and years of license in drivers’ comprehension of warning signs. The populations sampl...

Traffic incident response plan, specifying response agencies and their responsibilities, can guide responders to take actions effectively and timely after traffic incidents. With a reasonable and feasible traffic incident response plan, related agencies will save many losses, such as humans and wealth. In this paper, how to generate traffic inciden...

Provincial highway safety is one of the most important issues in transportation. To evaluate or assess the safety performance of provincial highway, traffic crash analysis or traffic conflict analysis has been used for a long history. However, it is very difficult and time-consuming to obtain historical crash data or traffic conflict data. This stu...

Traffic incidents, caused by various factors, may lead to heavy traffic delay and be harmful to traffic capacity of downstream sections. Traffic incident management (TIM) systems have been developed widely to respond to traffic incidents intelligently and reduce the losses. Traffic incident response plans, as an important component of TIM, can effe...

An evaluation of bridge quality is important to plan maintenance activities, take correct maintenance countermeasures, and ensure the safety of bridge services. To help fulfill the requirements for the management of high-grade maintenance of highway bridges, a comprehensive evaluation system of bridge maintenance quality is presented. The system co...

Vehicle operating speed on exit ramp changes along with the ramp alignment, vehicle power performance, driving environment and driver characteristics. The inconsistencies between operation speed and design speed is often a hidden trouble of traffic accidents. According to the result of partial correlation analysis based on the measured off-ramp geo...

The first objective of this study is to analyze a successive-stage speed limit model developed for vehicles along the exit upstream ramp of direct-type freeway in China. This paper (1) explains the necessity to implement speed limit to the exit ramp upstream, (2) analyzes whether speed limit is related to the length of the deceleration lane, vehicl...

In China, guaranteeing traffic safety in township sections of arterial highways is an urgent and difficult problem. The study summarized in the present paper discusses a different type of safety guarantee technology based on traffic safety diagnosis and focused on existing conditions of the highway. The method first analyzes potential traffic safet...

The goal of this study is to research on pedestrians of mid-block crosswalks controlled by push-button signal. According to the psychological analysis of the crossing pedestrians under the push-button signal, it was found that crossing psychology of pedestrians under this mode is different from the fixed-time and no signal mode. Data were collected...

Traffic control signals with count-down display units have been widely used in cities. Using count-down traffic control signals can make the traffic participants follow the changes of traffic situations and adjust their driving behavior to the changes in real time. Researching the applicability of count-down signals has a very important significanc...

Analysis of freeway weaving section has attracted considerable research attention ever since the 1950 Highway Capacity Manual (HCM). Despite the growing body of literature on this topic, precious little effort has been devoted to synthesizing the overall state of research. This paper provides a detailed review of key issue associated with capacity...

Some proposals on classifying freeway exit ramps in China are put forward. Google Earth was used to identify the contributing factors on exit ramp classification by surveying more than 500 samples in China, USA, Japan, and Europe. The factors determined are configuration of deceleration lanes, number of deceleration lanes, lane changes in the mainl...