Bruce Hellinga

Bruce Hellinga

University of Waterloo

H-index: 32

North America-Canada

About Bruce Hellinga

Bruce Hellinga, With an exceptional h-index of 32 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of traffic control, transit operations, ITS, active modes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots

Estimating Pedestrian Volumes at Each Crosswalk of Intersections: Comparison of Land-Use Models and Short-Term Count Methods

Enhancing the Spatial Transferability of Direct Demand Models for Estimating Pedestrian Volumes at Intersections

CGAN-EB: A non-parametric empirical Bayes method for crash frequency modeling using conditional generative adversarial networks as safety performance functions

Method for estimating the monetary benefit of improving annual average daily traffic accuracy in the context of road safety network screening

Spatial-temporal distribution of traffic-related emissions estimation based on massive taxi GPS trajectory data

Comparing direct demand models for estimating pedestrian volumes at intersections and their spatial transferability to other jurisdictions

Benefit–cost-based method to determine when safety performance functions should be redeveloped for use in intersection network screening

Bruce Hellinga Information

University

Position

Professor Transportation Engineering

Citations(all)

4583

Citations(since 2020)

1274

Cited By

3893

hIndex(all)

32

hIndex(since 2020)

18

i10Index(all)

67

i10Index(since 2020)

30

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Bruce Hellinga Skills & Research Interests

traffic control

transit operations

ITS

active modes

Top articles of Bruce Hellinga

Title

Journal

Author(s)

Publication Date

Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots

International Journal of Transportation Science and Technology

Mohammad Zarei

Bruce Hellinga

Pedram Izadpanah

2023/2/21

Estimating Pedestrian Volumes at Each Crosswalk of Intersections: Comparison of Land-Use Models and Short-Term Count Methods

Journal of Transportation Engineering, Part A: Systems

Lucas Tito Pereira Sobreira

Bruce Hellinga

2024/2/1

Enhancing the Spatial Transferability of Direct Demand Models for Estimating Pedestrian Volumes at Intersections

Transportation Research Record

Lucas Tito Pereira Sobreira

Bruce Hellinga

2023/11/30

CGAN-EB: A non-parametric empirical Bayes method for crash frequency modeling using conditional generative adversarial networks as safety performance functions

International Journal of Transportation Science and Technology

Mohammad Zarei

Bruce Hellinga

Pedram Izadpanah

2023/9/1

Method for estimating the monetary benefit of improving annual average daily traffic accuracy in the context of road safety network screening

Transportation research record

Mohammad Zarei

Bruce Hellinga

2023/3

Spatial-temporal distribution of traffic-related emissions estimation based on massive taxi GPS trajectory data

Spatial Knowledge & Information

Jianhua Song

Gang Ren

Bruce Hellinga

2023

Comparing direct demand models for estimating pedestrian volumes at intersections and their spatial transferability to other jurisdictions

Transportation research record

Lucas Tito Pereira Sobreira

Bruce Hellinga

2023/10

Benefit–cost-based method to determine when safety performance functions should be redeveloped for use in intersection network screening

Transportation research record

Mohammad Zarei

Bruce Hellinga

Pedram Izadpanah

2022/11

A Quantitative Method to Determine When Safety Performance Functions Used for Network Screening Should be Redeveloped

Mohammad Zarei

Bruce Hellinga

Pedram Izadpanah

2022

Impact of COVID-19 on traffic volume, violations, and crashes in Fortaleza, Brazil

Journal of transportation engineering, Part A: Systems

Lucas Tito Pereira Sobreira

Marcelo dos Santos de Luna

Flávio Cunto

Bruce Hellinga

2022/10/1

Crash Data Augmentation Using Conditional Generative Adversarial Networks (CGAN) for Improving Safety Performance Functions

arXiv preprint arXiv:2112.12263

Mohammad Zarei

Bruce Hellinga

2021/12/21

See List of Professors in Bruce Hellinga University(University of Waterloo)