01622551

Component

https://doi.org/10.3141/2645-02

For better management of on-street parking, cities are searching for ways to understand current usage of their on-street supply. Options for collecting on-street parking occupancy information range from manual data collection, which tends to be slow and not in real time, to in-ground sensors, which can provide real-time data but are costly and may have other issues related to battery life and their placement in the roadbed. This paper evaluates the various data collection methods and technologies for on-street parking. The District of Columbia Department of Transportation’s experience with various on-street technologies to detect parking occupancy is described, with a focus on how the technologies were able to identify solutions to the urban challenges inherent in the District. Criteria for a more in-depth analysis of on-street occupancy detection technology are described and presented as the next steps in the evaluation.

01628860

17-01377

English

pp 12–23

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309460408

Digital/other

Figures (8) ; References (10) ; Tables (1)

Data collection; Detection and identification systems; Evaluation; On street parking; Parking guidance systems; Sensors

District Department of Transportation

Washington (District of Columbia)

Data and Information Technology; Highways; Operations and Traffic Management

TRIS, TRB, ATRI

Dec 8 2016 10:26AM

• Application of Dempster–Shafer Data Fusion Technique in Support of Decision Making with Big Data
• Automated Vehicle Recognition with Deep Convolutional Neural Networks
• Data Processing Framework for Development of Driving Cycles with Data from SHRP 2 Naturalistic Driving Study
• Data-Based Sorting Algorithm for Variable Message Sign Location: Case Study of Beijing
• Detecting Imminent Lane Change Maneuvers in Connected Vehicle Environments
• Detection of Crack Growth in Asphalt Pavement Through Use of Infrared Imaging
• Development and Application of an Ecodriving Support Platform Based on Internet+: Case Study in Beijing Taxicabs
• Economic Feasibility Study for Pavement Monitoring Using Synthetic Aperture Radar-Based Satellite Remote Sensing: Cost–Benefit Analysis
• Enhancing Relative Positioning Accuracy in Vehicle-to-Vehicle Safety: Multivehicle Kinematics and Nonlinear Particle Filtering Approach
• Evaluating the Promotion of Innovative Mobility Options with an Agent-Based Modeling and Simulation Approach
• Hidden Markov Approach to Dynamically Modeling Car Ownership Behavior
• Investigating Impacts of Communication Loss on Signal Performance with Use of Event-Based Data
• Methodology for Calculating Latency of GPS Probe Data
• Multicontextual Machine-Learning Approach to Modeling Traffic Impact of Urban Highway Work Zones
• Novel Cooperative Collision Avoidance Model for Connected Vehicles
• Optimized Video Tracking for Automated Vehicle Turning Movement Counts
• Short-Term Traffic Flow Forecasting for Urban Roads Using Data-Driven Feature Selection Strategy and Bias-Corrected Random Forests
• Traffic Congestion Pattern Classification Using Multiclass Active Shape Models
• Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data
• Vehicle Trajectory Analysis System via Mutual Information and Sparse Reconstruction