Advanced Lighting Measurement System (ALMS)

A big data driven solution for nighttime safety

Introduction

The ALMS is an effecient lighting data collection solution for a big scale roadway network. The system is mounted on a moving car and measures lighting levels (horizontal illuminance) automatically.

  • High resolution: 2-4 horizontal illuminance points per 10 feet
  • High speed: up to 80 mph
  • High accuracy: 16 bit ADC
  • High range: 0 - 9.1 foot-candles
  • Low-cost: 1/20 of manual lighting measurement
  • Low-risk: No staff exposure in traffic
  • Formatted outputs: GIS layer, heatmap, photometric analysis
  • Vertical illuminance ready
ALMS device picture

Application

Lighting Level Assessment

  • Review lighting patterns along a corridor or the whole network
  • Visualize lighting patterns using heatmaps and statistics
  • Check if lighting patterns meet transportation agencies' standards
  • Assess the lighting performance of the corridor or the network
  • Identify the spots with poor lighting performance
Heatmap of a corridor



Validate Lighting Retrofits

  • FDOT is conducting lighting retrofit projects at more than 2,000 signalized intersection for pedestrian safety
  • New and reconstructed signalized intersections with crosswalks will have vertical illumination
  • A quality assurance review of intersection lighting retrofits is crucial.
  • Validate lighting retrofit design and construction
Validate Intersection Retrofits



Comparision of LED and HPS

  • Light-emitting diodes (LEDs) are fourth-generation light sources developed as an energy-efficient alternative to traditional street lighting (i.e., HPS)
  • Over 100 intersections and over 10 state roads have been retrofitted to LED streetlights in Tampa Bay in the past 5 years
  • Use ALMS data to evaluate the lighting performance of LEDs on SR56
  • LEDs greatly increase the average lighting levels
  • LEDs greatly improves the uniformity
Inspection of LED technology



Lighting Diagnosis for Crash Spots

  • Inspect lighting patterns of crash hotspots
  • Determine if lighting is a contributor to crash risk
  • Case Study - Top pedestrian crash corridor
    • 14th SW St., Bradenton, from 49th Ave to Florida Blvd
    • Top 5 pedestrian crash corridor in Florida
    • Poor lighting Level - average 0.56 fc
    • Lighiting is a contributing factor
Inspection of Pedestrian Crash Lighting Level



Nighttime Safety Management

  • Quantify the relahtionship between nighttime crash risks and lighting patterns
    • Average Lighting Level and Uniformity
    • Safety Performance Functions (SPFs)
    • Crash Modification Factors (CMFs)
    • For vehicle and pedestrian crashes
  • Select and prioritize potential roadway lighting retrofit projects for safety improvement
  • Select road facilities by PSI (potential safety improvement)
  • Estimate crash reduction and benefits of proposed potential lighting retrofit treatments
  • Rank proposed lighting retrofit projects based on benefit-cost ratios
  • Support transportation agnecies's decison-making in implementing roadway lighting improvement
CMF for lighting patterns

Testimonial

2022-2023 - The CUTR team completed a FDOT project titled "FDOT District 7-wide Lighting Level Measurement and Analysis."

  • 58 state road corridors
  • 412 center miles
  • 1945 lane miles

FDOT D7 District-Wide Lighting Measurement



2012-2021 - The ALMS is implemented to collect lighting data for Florida Department of Transportation (FDOT), District Seven and District One.

  • Comleted six phases since 2012
  • 400 center-miles in center and southwest Florida
  • 1.2 million lighting data records
  • Countinue to expand lighting data collection
map for lighting inventory (2012-2020)



2015 - The ALMS won the 2015 National Roadway Safety Award for Major Cost Saving + Protect Worker Safety.

  • Collecting crucial data on lighting intensity was labor intensive, expensive, and dangerous.
  • Collect continous roadway lighting measure (CRLM) data
  • Significantly higher quantities of data collected using this safer, more cost-effective methodology.

Download



ALMS Firmware

Download the latest firmware (ver. 3.3.9) for ALMS 3-serial products (Serial number starts with 3). Run the self-extracting file on a Windows-PC and follow the instruction. You may need to install the usb driver (CH340G) to connect an ALMS device.

Firmware 3.3.9 build 2024.12.24 (for new bootloader)

Version 3.3.9

  • Reset LEDs when receiving STOP
  • Fix ADS 1x15 library
  • Fix sending "Ready" after reset

Version 3.3.7

  • Add file close for the STOP command

Version 3.3.6

  • Add initial reading at zero feet

Version 3.3.5

  • Add data field of DMI/TIMER indicator in SD outputs

Version 3.3.4

  • Change default timer interval to 85 ms (for testing)
  • Change the data type of bt_rate in EEPROM to usigned long

Version 3.3.3

  • Add Product Model Info (6 characteristics)
  • Fix Serial Reading Errors in 3.3.2

Data Manager

The ALMS Data Manager is used to download and convert data from an ALMS device. Download the installation file and install it on a Windows PC. You may need to install the usb driver (CH340G) to connect the ALMS device.

ALMSDM 0.0.6

Version 0.0.5

  • Mitigate from .NET Framework 4.7.2 to .NET 8
  • Single exe file no installation need
  • Add softreset when read system informaiton

Version 0.0.5

  • Remove popup windows for deleting files

ALMS Controller

ALMS Controller is an Anroid app to operate the ALMS device. Please directly download and install the latest APK on your Anroid device. You need to uninstall the old version before you starting installation. Android 5.0 or later is required.

ALMS Controller v0.2.3

Version 0.2.3

  • Add distance information on Monitor screen
  • Change minimum API Level to 21
  • Build at 12/11/2019

Version 0.2.2

  • Add display of product model information
  • Build at 12/10/2019

Version 0.2.1

  • Add display of system information
  • Change API Level to 29 (target) and 24 (minimum)
  • Build at 12/09/2019

USB Driver (CH340G)

Install USB Driver before connecting an ALMS device.

Windows Driver
Official Webpage

Contact

Dr. Zhenyu Wang
Senior Research Associate
Center for Urban Transportation Rsearch (CUTR)
Unviersity of South Florida
4202 E. Fowler Ave. CUT100
Tampa, Florida 33620
Tel: 813.974.8998
Email: zwang9@usf.edu