Israel Bus Lane Management System with X-AID™ Video Analytics and topXview™ ATMS

Project Overview

Telegra delivered a customized bus lane management system for Netivei Israel, combining the topXview™ advanced traffic management software platform with the X-AID™ AI-based video analytics system.

The system supports managed bus lane operations by measuring traffic flow and speed, detecting incidents and irregularities, verifying whether shoulder lanes are passable, and managing the opening and closing of shoulder lanes for public transport.

The first phase was implemented on three roads with 91 cameras covering approximately 6 km of lanes. Following successful implementation, the system was expanded with an additional 6 km of roads, reaching approximately 185 cameras covering around 12 km of manageable bus lanes.

Client Challenge

Netivei Israel wanted to improve public transport efficiency by opening shoulder lanes exclusively for buses during rush-hour conditions when traffic on the main lanes is dense and slow.

Because shoulder lanes are normally used for emergencies, the system needed to ensure that a shoulder lane was safe and passable before allowing buses to use it.

The main operational challenges included:

• measuring traffic flow and speed on main lanes,
• detecting incidents and irregularities in real time,
• confirming that shoulder lanes are clear of stopped vehicles, pedestrians, debris, animals, accidents, or other obstacles,
• supporting safe opening and closing of shoulder lanes for public transport,
• reducing missed incident detections and false alarms,
• implementing Netivei Israel’s operational logic in an automated and operator-supported traffic management environment.

Telegra Solution

Telegra implemented a multidisciplinary bus lane management system based on topXview™ and X-AID™.

X-AID™ is used to analyze video streams from cameras, measure traffic flow, calculate traffic statistics, and detect incidents or irregularities. topXview™ is used to manage bus lane opening and closing according to Netivei Israel’s operational scenarios.

The solution included:

• X-AID™ AI-based video analytics for incident detection and traffic flow measurement,
• topXview™ advanced traffic management platform for managed bus lane operations,
• automated opening and closing logic for shoulder lanes used by public transport,
• GIS-based multilayer operator GUI,
• integration of video cameras, X-AID™, and prismatic message signs,
• decision support for operators,
• customized event forms and color-coded notifications,
• configurable thresholds, parameters, event priorities, and notifications,
• video management system with 24/7 recording and incident recording,
• WEB API / RESTful interface and external database interface,
• redundant deployment with auxiliary management center.

System Scale

The first implementation phase covered:

• 3 roads: Road 444, Road 57, and Road 471,
• approximately 6 km of managed lanes,
• 91 cameras,
• approximately 3 km of Road 444 with 47 cameras,
• approximately 1.5 km of Road 471 with 22 cameras,
• approximately 1.5 km of Road 57 with 22 cameras.

The system was later expanded by an additional 6 km of roads, reaching:

• approximately 12 km of manageable bus lanes,
• up to 185 cameras.

X-AID™ Video Analytics and Incident Detection

X-AID™ is used as the core video analytics component of the bus lane management system.

The system detects incidents and traffic irregularities including:

• stopped vehicles,
• vehicles in forbidden zones,
• wrong-way vehicles,
• pedestrians,
• slow vehicles,
• speeding vehicles,
• steep speed changes,
• slowdowns and congestion,
• moving objects such as animals,
• debris.

X-AID™ also provides traffic statistics including:

• traffic volume per lane and vehicle class,
• average lane occupancy,
• average speed per lane and vehicle class,
• vehicle presence ratio,
• level of service.

The implemented X-AID™ system achieved a detection rate above 96% and a false alarm rate of 0.82 false alarms per camera per day.

Managed Lanes & Bus Lane Operations

The customized bus lane management system supports managed lane operations for public transport.

Each road is divided into sections and subsections to enable granular management of shoulder lanes. The system evaluates traffic speed, congestion, incident presence, time of day, working camera status, operator responsibility, and configured thresholds before suggesting or executing bus lane opening or closing.

The core operational logic includes:

• configurable rush-hour periods,
• configurable speed thresholds for traffic-flow evaluation,
• incident-free shoulder lane verification,
• operator-assisted or automated lane opening,
• one-click operator confirmation for opening shoulder lanes,
• automatic setting of appropriate images on prismatic message signs,
• section-based and subsection-based bus lane management,
• workplace priority lists for assigning events to responsible operators.

Decision Support & Event Management

topXview™ implements Netivei Israel’s Concept of Operations and supports operators with decision support for managed bus lane operation.

The system supports:

• tracking and evaluation of traffic parameters,
• suggestion of optimal response plans,
• automated response plan generation based on event location,
• opening and closing of bus lanes according to operational logic,
• VMS / sign control,
• camera and video support,
• customized event forms,
• event prioritization,
• handling of events by different operators,
• configurable parameters, thresholds, and notifications,
• storage of operator actions and subsystem data for auditing.

When an incident is detected, the operator receives an event form, while the video management interface automatically changes layout to display nearby cameras for visual inspection.

Video Management & System Redundancy

The system includes a full-scale video management system with:

• 24/7 video recording,
• incident recording,
• camera management,
• PTZ camera functionality where supported,
• alarm video management,
• redundant topXvie™ video management for integrated cameras.

topXview™ and X-AID™ can be installed on commonly available servers or workstations, with video streams delivered over the network. The implemented architecture includes redundancy, with the complete topXview™ platform duplicated in an auxiliary management center that can become active if the main center becomes unavailable.

Operational Impact

The Israel Bus Lane Management implementation enabled Netivei Israel to manage shoulder lanes for public transport based on real-time traffic conditions, incident status, and configurable operational logic.

Documented outcomes include:

• improved public transport operation through controlled bus lane access,
• automated and operator-supported shoulder lane opening and closing,
• reliable incident detection and traffic statistics calculation,
• detection rate above 96%,
• false alarm rate below 1 false alarm per camera per day,
• integration of X-AID™, video cameras, prismatic signs, and topXview™,
• implementation of Netivei Israel’s Concept of Operations,
• configurable response logic for managed lane operations,
• scalable expansion from 6 km to approximately 12 km of managed bus lanes,
• centralized and redundant management architecture,
• auditability through stored operator actions and subsystem data.

Related Software Solution Areas

• Advanced Traffic Management Systems (ATMS),
• Incident Detection & Incident Management Workflows,
• Traffic Analytics, Reporting & Operational Intelligence.
• ITS Integration & Interoperability,
• Traffic Management Center (TMC) Platforms,

Download Case Study

Download the original PDF case study:

ISRAEL - XAID Case Study IL Bus Lane

Frequently Asked Questions

What is the Israel Bus Lane Management case study about?

It describes Telegra’s implementation of a customized bus lane management system for Netivei Israel using topXview™ advanced traffic management software and X-AID™ AI-based video analytics.

What type of system was delivered?

Telegra delivered an integrated managed lane solution combining video-based incident detection, traffic flow measurement, operator decision support, and automated opening and closing of shoulder lanes for public transport.

Which Telegra platforms were used?

The system uses X-AID™ for AI-based video analytics, traffic statistics, and incident detection, while topXview™ manages bus lane opening and closing logic, operator workflows, GIS visualization, video management, and system integration.

What incidents can the system detect?

The X-AID™ system can detect stopped vehicles, vehicles in forbidden zones, wrong-way vehicles, pedestrians, slow vehicles, speeding vehicles, steep speed changes, congestion, animals, and debris.

Does this case study support Telegra’s managed lanes positioning?

Yes. The project demonstrates Telegra’s capability to deliver managed lane software, lane-control workflows, traffic-flow based decision support, automatic response logic, and integration with signs, cameras, and video analytics.

Does the system support configurable operational logic?

Yes. The system supports configurable thresholds, rush-hour periods, event priorities, operator responsibilities, response logic, notifications, and section-based lane management rules.

Does the system support AI-based video incident detection?

Yes. X-AID™ provides AI-based video incident detection and traffic statistics calculation, achieving more than 96% detection rate and 0.82 false alarms per camera per day in the implemented system.