Chunhui Yu

Chunhui Yu
Tongji University ·  Department of Traffic Information Engineering

Doctor of Engineering

About

52
Publications
7,914
Reads
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799
Citations
Citations since 2017
46 Research Items
798 Citations
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2017201820192020202120222023050100150200250
2017201820192020202120222023050100150200250
Introduction
Dr. Chunhui Yu is an assistant researcher at Tongji University. His research interests include traffic signal systems, vehicle trajectory optimization, traffic management based on connected and automated vehicles (CAVs), and CAV testing and evaluation. Dr. Yu has co-authored more than 10 peer-reviewed papers published in top transportation journals and conferences including Transportation Research Part B, Transportation Research Part C, and Transportation Research Board Annual Meeting. He is a reviewer of top transportation journals and conferences including Transportation Research Part B, Transportation Research Part C, IEEE Transactions on Intelligent Transportation Systems, and IEEE International Conference on Intelligent Transportation Systems.
Additional affiliations
December 2018 - present
Tongji University
Position
  • Researcher
September 2015 - June 2018
University of Michigan
Position
  • PhD Student
Education
September 2013 - September 2018
Tongji University
Field of study
  • Traffic Signal Operation; Traffic Control in Connected and Automated Vehicle Environment
September 2009 - July 2013
Tongji University
Field of study
  • Traffic Engineering

Publications

Publications (52)
Article
Public bike-sharing is common in many regions, but rare in sub-Saharan Africa. Despite the myriad of advantages, only five African countries have implemented it. Besides, road user perceptions of novel bike-sharing implementation remain underrepresented in the extant literature. The lack of data in sub-Saharan Africa makes planning and implementati...
Article
This study provides a signal timing model for isolated intersections under the mixed traffic environment consisting of connected and human‐driven vehicles (CHVs) and connected and automated vehicles (CAVs). Different from existing studies, CAVs are not controlled by traffic controllers and conduct trajectory planning themselves, which are called se...
Article
Accurate estimation of route flow is crucial to traffic control optimization. Existing route flow estimation models are typically built upon strong assumptions on traveler route choice behavior or turn to data-driven approaches which heavily rely on prior OD estimation and high sensor coverage rate. This study proposes a route flow estimation frame...
Article
Shuttle bus services play a vital role in public transit systems. However, conventional shuttle bus systems use the same type of buses and fixed departure timetables. They fail to meet the time-varying travel demand and do not consider the diversified characteristics of transit passengers. With the advent of the information era, communication among...
Article
Full-text available
It is commonly seen that buses are blocked by the ones in front serving passengers and have to queue outside a curbside bus stop although there are vacant berths at the stop. The resultant bus delays degrade the service level of urban public transportation. A potential solution is to reschedule the arrivals of the buses at the stop for full utiliza...
Article
Mixed traffic control with connected and autonomous vehicles (CAVs) and human driving vehicles (HVs) is becoming a hot topic. CAV trajectory planning at work zones under the mixed traffic environment is a big challenge. Existing studies only focus on longitudinal trajectories (e.g., acceleration profiles), ignoring lateral trajectories (lane changi...
Article
Connected and automated vehicles (CAVs) and human-driven vehicles (HVs) are expected to coexist in the near future. CAV-dedicated lanes and phases have been explored to handle the uncertainty in the driving behavior of HVs in the mixed traffic environment. However, CAV-dedicated phases could significantly sacrifice HV benefits. This study proposes...
Article
In recent years, there has been a renaissance in urban railway transit supply in Ghana with a railway masterplan seeking to increase the rail network from 947 to 4007.6 km. However, some passenger trains are beginning to face demand downturns, which require empirical investigation. Research on railway operation and passenger demand in Africa is...
Conference Paper
Public transit systems play an important role in the alleviation of traffic congestion in urban road networks. The same vehicle type and a fixed departure timetable are usually applied to a bus route in the conventional public transit systems. They fail to cater to the time-varying travel demand or the diversified characteristics of transit passeng...
Conference Paper
The surge of connected and autonomous vehicles has aroused rising attention from both academia and industrial world. In this context, this article introduces recent new applications concerning traffic control and how those traditional applications can be subverted by the emergence of those new-type vehicles. This article summarizes relevant study m...
Conference Paper
There are a lot of Automotive Vehicle Identification (AVI) devices in urban traffic environment in some Chinese cities. Vehicles will leave a series of timestep-location records when travelling through the road network, which is a valuable data source for macroscopic traffic supply-demand analysis. A method using the AVI data based on the Arcgis pl...
Article
Active traffic management (ATM) strategies are useful methods to reduce crash risk and improve safety on expressways. Although there are some studies on ATM strategies, few studies take the moving vehicle group as the object of analysis. Based on the crash risk prediction of moving vehicle groups in a connected vehicle (CV) environment, this study...
Article
Full-text available
Abstract Roundabouts promise potential safety and efficiency benefits in the homogenous environment of conventional vehicles. However, their performance can deteriorate if high and/or imbalanced traffic exists. The advent of connected and automated vehicles (CAVs) has provided great opportunities to make transportation infrastructures more efficien...
Article
Full-text available
The bus transit system is promising to enable electric and autonomous vehicles for massive urban mobility, which relies on high-level automation and efficient resource management. Besides the on-road automation, the in-depot automated scheduling for battery recharging has not been adequately studied yet. This paper presents an integrated in-depot r...
Article
Trajectory planning for connected and automated vehicles (CAVs) has the potential to improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant studies in this research area, most of them only consider trajectory planning in the longitudinal dimension or assume the fully CAV environment. This study proposes an appr...
Preprint
It is commonly seen that buses are blocked by the ones in front serving passengers and have to queue outside a curbside bus stop although there are vacant berths at the stop. The resultant bus delays degrade the service level of urban public transportation. A potential solution is to reschedule the arrivals of the buses at the stop for full utiliza...
Preprint
Connected and automated vehicles (CAVs) and human-driven vehicles (HVs) are expected to coexist in the near future. CAV-dedicated lanes and phases have been explored to handle the uncertainty in the driving behavior of HVs in the mixed traffic environment. However, CAV-dedicated phases could significantly sacrifice HV benefits. This study proposes...
Preprint
Trajectory planning for connected and automated vehicles (CAVs) has the potential to improve operational efficiency and vehicle fuel economy in traffic systems. Despite abundant studies in this research area, most of them only consider trajectory planning in the longitudinal dimension or assume the fully CAV environment. This study proposes an appr...
Article
Full-text available
The Signal Phase and Timing (SPaT) message is an important input for research and applications of Connected Vehicles (CVs). However, the actuated signal controllers are not able to directly give the SPaT information since the SPaT is influenced by both signal control logic and real-time traffic demand. This study elaborates an estimation method whi...
Article
Full-text available
Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by infrastructure-based detectors (e.g., loop detectors). These infrastructure-based detectors generally have high maintenance costs and low coverage. With the deployment of probe vehicles, vehicle trajectory data provide more information about traffic stat...
Article
Fixed-time signal control is widely used in the real world due to its low cost of implementation. Repeated signal cycles with the same phase structure are applied in the existing fixed-time signal control schemes. However, such signal schemes do not always achieve the best performance, especially when traffic demand is unbalanced. The inclusion of...
Article
Full-text available
Variable speed limit (VSL) system has been recognised as an active traffic management strategy to improve traffic safety and operational efficiency. The development of connected vehicle (CV) technologies have a potential to improve VSL systems because CVs can provide continuous and precise traffic condition as the input of VSL algorithm as well as...
Preprint
Full-text available
Trajectory planning and coordination for connected and automated vehicles (CAVs) have been studied at isolated ``signal-free'' intersections and in ``signal-free'' corridors under the fully CAV environment in the literature. Most of the existing studies are based on the definition of approaching and exit lanes. The route a vehicle takes to pass thr...
Article
Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs), and yet there is no systematic framework to generate testing scenario library. This study aims to provide a general framework for the testing scenario library generation (TSLG) problem with different operational design domains (OD...
Article
This paper presents an integrated optimization model for the concurrent design of passive bus priority signal settings and lane allocation including lane markings for general traffic and exclusive bus lanes at isolated intersections. Traditional passive transit signal priority (TSP) strategies considered both lane markings for general traffic and e...
Article
This paper presents an integrated optimization model for the concurrent design of passive bus priority signal settings and lane allocation including lane markings for general traffic and exclusive bus lanes at isolated intersections. Traditional passive transit signal priority (TSP) strategies considered both lane markings for general traffic and e...
Article
Trajectory planning for connected and automated vehicles (CAVs) has been studied at both isolated intersections and multiple intersections under the fully CAV environment in the literature. However, most of the existing studies only model limited interactions of vehicle trajectories at the microscopic level, without considering the coordination bet...
Conference Paper
The head-up display (HUD) is a display device which projects a virtual image on the forward field of view of drivers. It was first developed for military aviation then started to be applied for cars. Great progresses have been made to HUD in research and practice. A good summary of the current work regarding HUD will facilitate its future applicati...
Preprint
Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs), and yet there is no systematic framework to generate testing scenario library. This paper aims to provide a general framework to solve the testing scenario library generation (TSLG) problem for different scenario types, CAV models...
Article
Full-text available
Traffic congestion causes traveler delay, environmental deterioration, and economic loss. Most studies on congestion mitigation focus on attracting travelers to public transportation and expanding road capacity. Few studies have been found to analyze the contribution of different traffic flows to the congestion on roads of interest. This study prop...
Article
The time-of-day (TOD) mode is the most widely used strategy for traffic signal control with fluctuating flows. Most studies determine TOD breakpoints based on traffic volumes collected by infrastructure-based detectors (e.g., loop detectors). However, these infrastructure-based detectors have low coverage and high maintenance cost. With the deploym...
Article
Reservation-based methods with simple policies such as first-come-first-service (FCFS) have been proposed in the literature to manage connected and automated vehicles (CAVs) at isolated intersections. However, a comprehensive analysis of intersection capacity and vehicle delay under FCFS-based control is missing, especially under high traffic deman...
Article
Existing traffic signal control systems only allocate green time to different phases to avoid conflicting vehicle movements. With advances in connected and automated vehicle (CAV) technologies, CAV trajectories not only provide more information than existing infrastructure-based detection systems, but also can be controlled to further improve mobil...
Article
Current research on traffic control has focused on the optimization of either traffic signals or vehicle trajectories. With the rapid development of connected and automated vehicle (CAV) technologies, vehicles equipped with dedicated short-range communications (DSRC) can communicate not only with other CAVs but also with infrastructure. Joint contr...
Article
Full-text available
In most traffic signal optimization problems, pedestrian traffic at an intersection receives minor consideration compared to vehicular traffic, and usually in the form of simplistic and exogenous constraints (e.g., minimum green time). This could render the resulting signal timings sub-optimal especially in dense urban areas with significant pedest...
Article
Lane allocation including approach and exit lane numbers and lane markings of approach lanes plays an important role in improving the capacity of an intersection. Conventional approaches for optimizing lane allocation often ignore fluctuations in traffic demand (TD). This article presents a stochastic model for robust optimal lane allocation of an...
Article
Finding the optimal location and signal timing plan is one of the most critical operational issues for a signalized midblock crosswalk on an arterial section, which is increasingly being installed in highly populated areas in developing countries such as China. This paper presents a multiobjective optimization model and an efficient solution algori...
Article
In order to improve the service level of passenger distributing centers such as comprehensive transportation hubs, for two typical departure modes, namely orderly and separate modes, with the aim of minimizing overall average queuing time of taxis and passengers, an aggregated model was established with the management mode and scale of the pick-up...
Conference Paper
Full-text available
This paper presents a method for identifying critical links in a traffic network to locate weak spots accurately and efficiently. The proposed method is based on the link redundancy of a sub-network, namely, the availability of alternative routes. The method follows two steps: (1) a link redundancy index of a sub-network generated from a center lin...

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Projects

Projects (4)
Project
Public Transit & Ride Sharing
Project
Propose new theories and methods for testing and evaluation of highly automated driving systems. Please find more details at https://traffic.engin.umich.edu/research/automated-vehicle-system-testing-and-evaluation.