
H. Y. Tong- PhD
- Lecturer at Aston University
H. Y. Tong
- PhD
- Lecturer at Aston University
Accepting PhD Students
- AI/ML Traffic Data Analysis
- AI-Powered Traffic Signal Coordinations
- Driving Cycles
About
15
Publications
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Introduction
My work is in the area of traffic/transport engineering and the environment. I am particularly interested in applying modelling and data analysis technique to address traditional transport engineering issues. Feel free to contact me regarding PhD topics within the following areas:
- Traffic Data Analysis using AI and Machine Learning Techniques
- Driving Cycles Development and Uses
- AI-Powered Traffic Signal Co-ordinations
- Vehicle Emissions and Energy Consumption
Current institution
Publications
Publications (15)
The energy consumption profiles of conventional fuelled and electric vehicles are different due to the fundamental differences in the driving characteristics of these vehicles, which have been actively researched elsewhere but mostly on the basis of uncommon geographical contexts. This study, therefore, collected driving data on electric and conven...
Bus transport has been an important mode taking up a significant share of urban travel demand and thus the corresponding impacts on the environment are of great concerns. Use of driving cycles to evaluate the environmental impacts of buses has attracted much attention in recent years worldwide. The franchised bus service is currently playing import...
Driving cycles are important for vehicle performance evaluations including emissions and fuel/energy consumption estimations. The franchised bus services are currently being extensively used in Hong Kong, however, no driving cycle has been developed specifically for buses. Therefore, this study has developed a set of bus driving cycles using a cost...
To reduce the vehicle emission problems, electric vehicles with different technologies have been increasingly and widely adopted in recent years. As a city with public transport modal share of over 90% of daily passenger trips, adoption of electric buses in the franchised bus sector is still at the trial stage. Limited information on the evaluation...
The Centre for Environmental Monitoring of the Vietnam Environment Administration in Hanoi launched a 2-year emissions monitoring program which aimed at determining the emission factors and emission inventories for two typical types of vehicle in Hanoi. To achieve these objectives, developing driving cycles representative of the local driving condi...
This paper reports on a 2-year emissions monitoring program launched by the Centre for Environmental Monitoring of the Vietnam Environment Administration which aimed at determining emission factors and emission inventories for two typical types of vehicle in Hanoi, Vietnam. The program involves four major activities. A database for motorcycles and...
This paper attempts to propose a framework on driving cycle development based on a thorough review of 101 transient driving cycles. A comparison of the driving cycles highlighted that Asian driving is the slowest but most aggressive while European driving is the fastest and smoothest. Further review of the cycle development methodologies identified...
A practical methodology for constructing a representative driving cycle reflecting the real-world driving conditions is developed for vehicle emissions testing and estimation. The methodology tackles three major tasks, i.e., data collection, route selection and cycle construction. Both car chasing and on-board measurement techniques were employed t...
This study reports on the analysis of emissions and fuel consumption from motor vehicles using a modal approach. The four standard driving modes are idling, accelerating, cruising, and decelerating. On-road data were collected using instrumented test vehicles traveling many times through the urban areas of Hong Kong. A model was developed for estim...
This paper reports the analysis and comparisons of discharge headways at 26 sites in Hong Kong. Previous studies here established good understanding of the average discharge headway under various conditions but very few studies dealt with discharge headway of individual vehicles which is a vital component in the traffic simulation at signalized int...
Vehicle discharge headway at signalized intersections is of great importance in junction analysis. However, it is very difficult to simulate the discharge headway of individual queued vehicle because of the great variations in the driver behaviors, vehicle characteristics and traffic environment. The current study proposes a neural network (NN) app...
This paper reports on the analysis of on-road vehicle speed, emission, and fuel consumption data collected by four instrumented vehicles. Time-, distance-, and fuel-based average fuel consumption, as well as CO, HC, NOx, and soot emission factors, were derived. The influences of instantaneous vehicle speed on emissions and fuel consumption were stu...
The paper presents the results of the development of a standard driving cycle in the urban areas of Hong Kong. On-road speed–time data were collected by an instrumented diesel vehicle along two fixed routes located in two urban districts in Hong Kong. The collected data were analyzed and compared with mandatory driving cycles used elsewhere. It was...