Jia Hu

Jia Hu
Tongji University · College of Transportation Engineering

Ph.D.

About

94
Publications
26,761
Reads
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1,425
Citations
Introduction
My research interests include connected and automated vehicles, microscopic simulation model application, system optimization, and transportation energy efficiency.
Additional affiliations
June 2019 - March 2020
Tongji University
Position
  • Professor (Full)
June 2014 - August 2017
Federal Highway Administration
Position
  • Research Associate
August 2011 - June 2014
University of Virginia
Position
  • Research Assistant

Publications

Publications (94)
Article
This research proposes an optimal controller to improve fuel efficiency for a vehicle equipped with automatic transmission traveling on rolling terrain without the presence of a close preceding vehicle. Vehicle acceleration and transmission gear position are optimized simultaneously to achieve a better fuel efficiency. This research leverages the e...
Article
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While safety is one of the most critical contributions of Cooperative Adaptive Cruise Control (CACC), it is impractical to assess such impacts in a real world. Even with simulation, many factors including vehicle dynamics, sensor errors, automated vehicle control algorithms and crash severity need to be properly modeled. In this paper, a simulation...
Article
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In this research, an optimal control-based Cooperative Adaptive Cruise Control (CACC) system is proposed. The proposed system is able to enforce a target time gap between platoon members and is formulated in the space domain instead of the time domain which is adopted by most optimal control-based CACC systems in the past. By having this change, it...
Article
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This research proposes a TSPcut controller that enables connected and automated buses to cut through traffic to make TSP green light. The proposed controller overcomes the shortcomings of conventional TSP strategies and is able to: 1) overtake slowing moving vehicles in order to catch TSP green time; 2) decide the best time to pass the intersection...
Article
This paper proposes a method to detect cyber-attacks by cross-checking Signal Phase and Timing (SPaT) information and connected vehicle trajectories data. The proposed method is only applicable to cyber-attacks that involve information tempering. The proposed V2I cyber-attacks detection algorithm includes the following features: i) effective in det...
Article
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This research proposes a Cooperative Adaptive Cruise Control Lane Change (CACCLC) controller. It is designed for maneuvering a CACC platoon to change lane in dense traffic. The proposed controller has the following features: i) with enhanced change-lane-in-dense-traffic capability; ii) with an improved success rate of lane-change; iii) with string...
Article
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A cooperative adaptive cruise control (CACC) system may be impeded by slow-moving traffic in the application. To improve the mobility of CACC, this research proposes a CACC controller with successive platoon lane-change capability. The goal is to help a platoon cut through traffic successively like a snake via smaller windows. The proposed controll...
Article
The performance of automated vehicle can be greatly improved by enabling vehicle-to-vehicle communication. An example of such applications is Cooperative Adaptive Cruise Control (CACC) along the highway. Although the adoption rate of vehicular connectivity is predicted to grow rapidly, CACC can only benefit vehicles that are both connected and auto...
Article
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This paper proposes a trajectory planner for multilane roundabouts. The goal is to enhance the existing roundabout in terms of capacity with the help of connected automation. The trajectory planner is formulated as a bi-level optimization. The upper level is a passing sequence optimization, which determines the passing sequence of the approaching v...
Article
Accurate and efficient pedestrian detection is crucial for the intelligent transportation system regarding pedestrian safety and mobility, e.g., Advanced Driver Assistance Systems, and smart pedestrian crosswalk systems. Among all pedestrian detection methods, vision-based detection method is demonstrated to be the most effective in previous studie...
Preprint
Accurate and efficient pedestrian detection is crucial for the intelligent transportation system regarding pedestrian safety and mobility, e.g., Advanced Driver Assistance Systems, and smart pedestrian crosswalk systems. Among all pedestrian detection methods, vision-based detection method is demonstrated to be the most effective in previous studie...
Cover Page
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WORKSHOP WEBSITE: https://ziranw.github.io/iv2021workshop/. This workshop focuses on sharing the state-of-the-art design, modeling, algorithms, simulation, and field implementation of cooperative driving in mixed traffic, and identifies challenges as well as research needs, aiming to encourage cross-disciplinary cooperation. The specific topics of...
Article
Driving restriction is used to mitigate traffic congestion and improve air quality. A partial bridge restriction policy is created in Chongqing, China since the bridges are natural network bottlenecks due to the local river system. Is such a strategy really capable of reducing air pollution and further improving local air quality? Employing an inte...
Article
This study investigates the problem of road side unit (RSU) location optimization for information propagation under stochastic traffic conditions. The goal of RSU location optimization is to promote multi-hop information propagation in the Internet of Vehicles which is the promising application of the Internet of Things in transportation. Consideri...
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This research presents an enhanced eco-approach controller with overtaking capability. The proposed controller overcomes the shortcomings of the conventional eco approach and is able to: i) overtake slowly-moving vehicles for the ecological purpose; ii) optimize the travel duration approaching an intersection; iii) guarantee both fuel saving and ve...
Article
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This research proposed a robust Cooperative Adaptive Cruise Control (CACC) to overcome the shortcoming of the existing CACC controllers in dealing with unexpected events, such as malware attack, phishing attack, and DNS tunneling attack, where perception and data received via communication contradict with the reality. The proposed controller combin...
Article
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Cooperative Adaptive Cruise Control (CACC) has been regarded as the most promising technology that can be carried out in field earliest under partially connected and automated environment, and is one of the few Connected and Automated Vehicle (CAV) applications closest to its final shape. Therefore, validation of CACC running in real traffic is in...
Article
This article presents a mathematical model to design a demand-responsive connector (DRC) bus operational network for improving the service quality and accessibility of public transportation systems. The proposed model features an integrated framework that simultaneously guides passengers to reach their nearest bus stops and routes buses to transpor...
Article
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A cooperative lane-changing (CLC) motion planning algorithm for partially connected and automated environment is proposed in this study. Unlike conventional motion planner whose goal is merely enabling driving maneuver, this proposed algorithm takes one step further in terms of reducing oscillation and shockwave caused by lane change, hence improve...
Article
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Cooperative Adaptive Cruise Control (CACC) has shown great potential in improving freeway capacity. Although the benefit of CACC is obvious, its potential side effects are not yet well studied. One of the major factors that have been overlooked is merging behavior. A driving simulator study has been recently conducted at the Federal Highway Adminis...
Conference Paper
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Constant spacing-based platooning systems cannot guarantee string stability if platoon members only use the preceding vehicle's information. To meet string stability specification, leader-predecessor-follower (LPF) platooning systems are proposed to incorporate the information of both the preceding vehicle and the platoon leader into the control lo...
Article
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Communication delay is detrimental to the performance of cooperative adaptive cruise control (CACC) systems. In this paper, we incorporate communication delay explicitly into control design and propose a delay-compensating CACC. In this new CACC system, the semi-constant time gap (Semi-CTG) policy, which is modified on the basis of the widely-used...
Article
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Indoor localization and navigation have a great potential of application, especially in large indoor spaces where people tend to get lost. The indoor localization problem is the fundamental of an indoor navigation system. Existing research and commercial efforts have leveraged wireless-based approaches to locate users in indoor environments. Howeve...
Article
Constant spacing-based platooning systems cannot guarantee string stability if platoon members only use the preceding vehicle’s information. To meet string stability specification, leader-predecessor-follower (LPF) platooning systems are proposed to incorporate the information of both the preceding vehicle and the platoon leader into the control lo...
Article
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This study evaluated the performance of an eco-approach control system at signalized intersections under a partially connected and automated vehicle (CAV) environment. This system has the first eco-approach controller able to function with the existence of surrounding human-driven traffic. A previous evaluation only confirmed its benefits. The purp...
Article
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Real-time capturing of vehicle motion is the foundation of connected vehicles (CV) and safe driving. This study develops a novel vehicle motion detection system (VMDS) that detects lane-change, turning, acceleration, and deceleration using mobile sensors, that is, global positioning system (GPS) and inertial ones in real-time. To capture a large am...
Article
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This study addresses the problem of road side unit (RSU) location optimization for optimum link flow determination. The error of link flow determination using RSU information comes from two sources: measurement error and inference error. The inference error is caused by the propagation and accumulation of measurement error during the link flow infe...
Article
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In weaving areas, vehicles frequently carry out conflicting lane-changing manoeuvres. The frequent lane change in this area results in rapid changes in vehicles’ speed, which in turn reduces traffic efficiency and create traffic bottlenecks at weaving areas. This research proposes a cooperative weaving motion planner for connected and automated veh...
Article
Purpose Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create...
Article
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In this study, the authors present a testbed platform for realising cooperative adaptive cruise control enabled by LTE‐V (LTE‐vehicle). The platform is developed on a platoon of vehicles, each of which is equipped with a suite of on‐board sensing and computing devices for environment perception, as well as an LTE‐V transceiver for high‐performance...
Article
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This study proposes a trajectory planning strategy for connected and automated transit buses travelling on signallised corridors. The goal is to improve the fuel efficiency of transit buses by taking into consideration of traffic signal timings and bus schedules. The strategy takes advantage of the emerging connected vehicle technologies, allowing...
Article
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Eco-drive is one of the many techniques that has been developed to increase vehicle fuel efficiency and improve the sustainability of the entire transportation system. Connected and automated vehicle (CAV) data is now being used to allow vehicles to cooperate better with current and future environments, such as traffic conditions, signal timing, an...
Conference Paper
Cooperative automated driving is a promising technology which mainly uses the V2V communication to establish the platoon and this helps to improve road safety, fuel consumption and traffic throughput. In this paper, an overview of a cooperative automated driving system is presented and this implementation is the first one which uses the LTE-V techn...
Article
This research conducted a comprehensive study to better estimate the impact of production Adaptive Cruise Control (ACC) on uninterrupted flow facilities using the highly cited ACC car-following models in the literature. Four different car-following models were investigated, including the Autonomous Adaptive Cruise Control (AACC) model, Intelligent...
Article
Hit-and-run crashes often delay emergency response and may result in increasing/secondary harms/damages to the victims in the crash. This study revisited hit-and-run crashes using a geo-spatial modeling approach, specifically, Geographically Weighted Regression (GWR), to explore geo-referenced crash data. The data cover motor vehicle crashes (N = 1...
Article
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In urban areas, traffic signals cause unnecessary stops and delays to vehicles resulting in excessive energy consumptions and emissions. The eco-approach technology has been introduced to achieve environmentally friendly driving behaviors and to improve energy efficiencies with reduced rapid accelerations or decelerations. However, it is not clear...
Conference Paper
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Two Active Traffic Management (ATM) strategies at saturated and/or oversaturated intersections are developed and experimentally validated as a Signal Phase and Timing (SPaT) application in this paper. The first strategy is to allocate as much green time as possible to approaches with higher saturation discharge rate, i.e. summation of saturation fl...
Article
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This research proposed a feeder bus dispatching tool that reduces rides’ effort to reach a feeder bus. The dispatching tool takes in real-time user specific request information and optimizes total cost accordingly (passenger access time cost and transit operation cost) by choosing the best pick-up locations and feeder buses’ routes. The pick-up loc...
Conference Paper
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Transit signal priority (TSP) may sacrifice the right-of-way of vehicles on side streets, break progression, lead to substantial delay increase on general traffic. This paper addresses this problem by proposing a bi-level transit signal priority model whose goal is to optimize intersection reliability. The objective of this optimization model is to...
Article
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Connected vehicle (CV) technology allows developing next-generation transit signal priority (TSP) that is based on cooperation between signals (change signal timing) and buses (alter speed). In this study, a CV-based TSP that was previously developed and evaluated through a computer simulation was tested in the field. The field experiment at the Sm...
Article
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This research proposed an eco-driving system for an isolated signalized intersection under partially Connected and Automated Vehicles (CAV) environment. This system prioritizes mobility before improving fuel efficiency and optimizes the entire traffic flow by optimizing speed profiles of the connected and automated vehicles. The optimal control pro...
Article
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Studies and field implementations demonstrate that variable speed limit (VSL) systems help freeway traffic congestion mitigations. This study presents a cycle-based variable speed limit (CVSL) strategy that could variate speed limits in the upstream segment of freeway merging areas. CVSL reduces speed limits in a fraction of a cycle. This variation...
Presentation
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This presentation summarized four innovations related to data-driven bottleneck rankings. First, the Annual Reliability Matrix (ARM) provides the ability to visualize both intensity and reliability at a single glance. Second, the California vehicle-hours of delay conversion provides robust delay-based performance measures, which are more sensitive...