The dataset contains the location and attributes of traffic signals in the District of Columbia. Attributes are aggregated to the controller level (ACISA), where a single controller directs one or more traffic signals at one intersection or clustered intersections. The following attributes of signalized intersections are tracked: leading pedestrian intervals (LPIs), No Turn on Red (NTOR) signage, all-pedestrian phases, bike phases, queue jumps, transit signal priority (TSP), pedestrian recall mode, HAWK/PHB signals, and accessible pedestrian signals (APS).This data is updated periodically and may not be current at the time of viewing. More information on safety features implemented at traffic signals can be found here: https://visionzero.dc.gov/pages/engineering.

Street Light Assets. The dataset contains locations and attributes of street lights provided by the District Department of Transportation (DDOT).

The dataset contains location and attributes of traffic signals, a power-operated traffic control device by which traffic is warned or directed to take some specific action, located at each intersection in the District of Columbia. These devices do not include power-operated signs, steadily-illuminated pavement markers, warning lights, or steady burning electric lamps. The dataset is related to the traffic pole data.

The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.

The DC Smart Street Lighting Project will modernize streetlights in the District of Columbia by converting them to LED technology with remote monitoring and control capabilities. LEDs better direct light onto the road, sidewalks, and trails, all helping to improve safety and advance the District’s Vision Zero goals. The project increases the city’s sustainability efforts by reducing streetlight energy consumption by more than 50 percent, eliminating 38,000 tons of greenhouse gas emissions each year.

Other traffic signs captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

Overhead Traffic Signs captured in 1999. Contract NCPC 93-02. This document describes the planimetric map production for the 350 tiles located in Washington DC and the surrounding states of MD and VA.

The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.

This special topic poll, fielded January 27-31, 2005, was undertaken to assess public opinion on traffic congestion in the Washington, DC, area. Respondents who commuted in the greater Washington, DC, area were asked about traffic conditions in the region, their primary means of transportation to and from work, the length of their commute, what they liked and disliked most about their commute, and whether they had ever relocated or adjusted their work schedule to improve their commute. Those polled rated the different types of public transportation available in the area, how often they used the Metrorail subway system, and why they did not ride it more often. Views were sought on proposals to expand the Metrorail system and build new highways in the area, sources of funding for transportation projects, and whether measures such as high occupancy vehicle lanes, adjustable tolls, and building new roads were effective in easing traffic congestion. Respondents were also asked about the type of vehicle they drove, how often they traveled by car, how much time they spent driving, and how often driving invoked feelings such as independence, relaxation, and anger. A series of questions asked respondents how often they and others were guilty of behaviors such as speeding or road rage, and whether they engaged in activities such as eating or reading while driving. Additional topics addressed the use of automatic cameras at traffic lights and stop signs and whether existing traffic laws were too tough on teenage drivers. Demographic variables included sex, age, race, household income, education level, and political party affiliation.

The Automated Safety Cameras (ASC) is a division of the District Department of Transportation (DDOT) that uses photo enforcement cameras as a traffic calming measure to enforce traffic laws, and to reduce violations on DC’s streets and most intersections. ATE is currently enforcing Posted Speed Limit (Speed), Stop Sign (Failure to come to a complete STOP), Red-Light (Running Red-Light), Bus Lane, Bus Zone, School Bus Stop-Arm, and Truck Restriction routes.This version of ASC data includes devices with no coordinates and because of that, the data is in table format. Data can be mapped using Lat/Lon or X/Y MD State Plane (Meters) but there will be records with null coordinate values.

The dataset contains location and attributes of traffic controls located at each intersection in the District of Columbia. All traffic poles, pavement markings, traffic cabinets and cameras located within 10 meters of curb face intersections are collected. Poles must support traffic control devices in order to be collected. This includes traffic control signs, traffic signals, traffic arms and cameras. The data set does not include poles supporting only name plate signs and parking enforcement signs.

Egypt faces extreme traffic congestion in its cities, which results in long travel times, large lines of parked cars, and increased safety hazards. Our study suggests a multi-modal approach that combines critical infrastructure improvements with cutting-edge technologies to address the ubiquitous problem of traffic congestion. Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals. The traffic management system incorporates detection cameras, Raspberry Pi 3 microcontroller, an Android application, cloud connectivity, and traditional traffic lights that are powered using PV modules and batteries to secure the traffic controllers operation in case of grid outage and assure service continuity. The model examines the difficulties associated with Internet of Things (IoT) communication, highlighting possible interference from device-to-device (D2D) devices and cellular user equipment. This all-encompassing strategy aims to reduce fuel consumption, increase road safety and improve traffic efficiency. The model predicts a significant increase in Egypt’s urban mobility by utilizing the possibilities of IoT and 5G technologies, which would improve Egypt’s towns’ livability and efficiency. The goal of this paper is to modernize Egypt’s traffic management system and bring it into compliance with global guidelines for intelligent transportation networks.

The Automated Traffic Enforcement (ATE) is a division of the District Department of Transportation (DDOT) that uses photo enforcement cameras as a traffic calming measure to enforce traffic laws, and to reduce violations on DC’s streets and most intersections.ATE is currently enforcing Posted Speed Limit (Speed), Stop Sign (Failure to come to a complete STOP), Red-Light (Running Red-Light), Bus Lane, Bus Zone, School Bus Stop-Arm, and Truck Restriction routes.

The Automated Safety Cameras (ASC) is a division of the District Department of Transportation (DDOT) that uses photo enforcement cameras as a traffic calming measure to enforce traffic laws, and to reduce violations on DC’s streets and most intersections.ASC is currently enforcing Posted Speed Limit (Speed), Stop Sign (Failure to come to a complete STOP), Red-Light (Running Red-Light), Bus Lane, Bus Zone, School Bus Stop-Arm, and Truck Restriction routes.

The North American street lighting market, valued at approximately $X million in 2025 (estimated based on provided CAGR and market size data), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9.40% from 2025 to 2033. This expansion is primarily driven by increasing urbanization, growing concerns about energy efficiency and sustainability, and the increasing adoption of smart city initiatives across the region. The transition from conventional lighting systems to energy-efficient LED technology is a major catalyst, offering significant cost savings for municipalities and improved lighting quality for citizens. Furthermore, the integration of smart lighting solutions, incorporating features like remote monitoring, dimming capabilities, and data analytics, is gaining traction, enhancing operational efficiency and contributing to the overall market growth. Smart street lighting systems also provide opportunities for improved public safety and enhanced urban planning through data-driven insights. However, the market faces challenges such as high initial investment costs associated with the upgrade and maintenance of smart lighting infrastructure and the need for robust cybersecurity measures to protect against potential vulnerabilities. Despite these challenges, the long-term outlook for the North American street lighting market remains positive. The increasing focus on improving energy efficiency and reducing carbon footprints, coupled with government initiatives promoting the adoption of sustainable technologies, will continue to fuel market growth. The market is segmented by lighting type (conventional and smart), light source (LEDs, fluorescent lights, HID lamps), and offering (hardware, software, and services). The LED segment currently dominates the market, owing to its superior energy efficiency and longer lifespan compared to other light sources. The hardware segment, encompassing lights, bulbs, luminaries, and control systems, constitutes the largest share of the market, while software and services are projected to witness significant growth driven by the rising adoption of smart lighting solutions. Key players like Acuity Brands, Cree, General Electric, and Signify are actively involved in developing and deploying innovative street lighting solutions, further strengthening the market’s competitive landscape. The United States, being the largest economy in North America, contributes significantly to the overall market size and is expected to maintain its leading position throughout the forecast period. Recent developments include: May 2022 - The District Department of Transportation of Washington D.C. and the Office of Public-Private Partnerships (OP3) announced the District of Columbia had entered a long-term public-private partnership with the Plenary Infrastructure DC (PIDC) consortium to modernize more than 75,000 lights throughout the District. The USD 309 Million Project will Modernize More Than 75,000 Streetlights, Reduce Energy Use by more than 50 Percent, Improve Equity of Service, and Extend Wi-Fi Coverage in Underserved Neighborhoods., February 2022 - In partnership with technology firm Ameresco, the U.S. city of Chicago has completed its Chicago Smart Lighting Program. The program includes modernizing around 280 street lighting fixtures with smart models for improved energy efficiency and smart city use cases. The newly installed lights are expected to use 50-75% less electricity than the ones replaced, which is expected to help the city reduce energy costs by half.. Key drivers for this market are: Increased Demand for Intelligent Solutions, such as Smart Street Lighting in Street Lighting Systems, Government Support in Implementation of LED Lights in Street Lighting; Increasing Adoption of Smart City Infrastructure to Drive the Street Lighting Market. Potential restraints include: Increased Demand for Intelligent Solutions, such as Smart Street Lighting in Street Lighting Systems, Government Support in Implementation of LED Lights in Street Lighting; Increasing Adoption of Smart City Infrastructure to Drive the Street Lighting Market. Notable trends are: LED Segment is Expected to Hold the Largest Share.