NEC innovation anticipates abrupt traffic jam in genuine time utilizing fiber optics cable televisions

Tokyo, Japan, August 22, 2025 – (JCN Newswire)–NEC Corporation (NEC; TSE: 6701) today revealed the advancement of a fiber optics noticing innovation to keep an eye on roadway conditions and precisely forecast unexpected traffic jam in genuine time. By gathering information from existing fiber optics interactions cable televisions and examining real-time traffic circulation information utilizing an exclusive AI design, NEC has actually lowered forecast mistakes by 80% compared to traditional techniques.

This innovation makes it possible for reliable traffic control, consisting of the plan of detour paths, consequently adding to the resolution of social difficulties such as logistics problems and CO2 emissions.

Innovation Overview

Traffic jam is a substantial social concern, threatening security and triggering considerable financial losses. In specific, blockage on expressways– the foundation of lots of logistics networks– has a substantial financial effect. Resolving this problem needs real-time understanding of roadway conditions for both instant blockage mitigation and proactive avoidance, in addition to extremely precise blockage forecast based upon updated information.

Existing tracking methods mostly count on point-based instruments, consisting of cams and loop detectors, along with probe car information (* 1). Both have restrictions: the previous is expensive to set up and preserve over whole roadway networks, and the latter only offers information when equipped lorries pass by particular receiver points, restricting real-time and constant protection. Existing blockage forecast designs greatly rely on long-lasting historic information, making it hard to record the introduction and proliferation of abrupt, unforeseen blockage patterns.

To attend to these difficulties, NEC has actually established an innovation that makes use of fiber optics cable televisions– initially set up for interactions functions together with roadways– as substantial, dispersed sensing units for gathering real-time, constant traffic circulation information throughout whole paths. NEC’s special AI-powered design then offers real-time, high-precision forecasts concerning the advancement and clearance of abrupt blockage.

Technical Features

NEC has actually established an information assimilation algorithm that integrates innovative design criterion optimization and information adjusting methods, allowing precise simulations of real-time traffic circulation utilizing detailed information gathered along the whole of roads.

Design Parameter Optimization Algorithm

NEC has actually produced an algorithm to enhance theoretical design specifications– such as motorist habits (e.g. inter-vehicle range change)– so that simulations consistently replicate observed traffic circulation information for whole roadway sectors.

Information Adaptation Algorithm

An innovative algorithm transforms varied traffic circulation information, consisting of “average speed” and private lorry “position/speed,” into formats suitable with simulation inputs. This makes it possible to set the preliminary conditions for simulations based upon detailed traffic circulation information gotten on whole paths, substantially boosting the dependability of simulation outputs.

Through these developments, NEC has actually validated– utilizing real-world information– that travel time forecast mistakes (a crucial indication for blockage forecasting) can be minimized by around 80% compared to the existing technique that depends on cross-sectional information from point sensing units such as electronic cameras.

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NEC is more advancing the awareness of a vibrant roadway digital twin that allows real-time, network-wide traffic tracking, the forecast of blockage advancement, and optimization of responsive procedures. Real-world trials are presently underway in close cooperation with roadway authorities, with the objective of useful release by financial 2026.

This innovation was established utilizing information supplied by Central Nippon Expressway Company Limited (NEXCO CENTRAL) and existed at the Transportation Research Board 104th Annual Meeting (* 2). NEC will likewise provide an associated paper at the 31st ITS World Congress in Atlanta, Georgia, USA, concentrated on improving the precision of traffic circulation tracking on expressways (* 3).

(* 1)A system that instantly gathers driving information– such as the place and speed of lorries geared up with onboard systems– utilizing roadside sensing units set up at periods varying from a number of to 10s of kilometers.
(* 2)Presentation ID TRBAM-25-01491, “A Novel Approach to Real-Time Short-Term Traffic Prediction based on Distributed Fiber-Optic Sensing and Data Assimilation with a Stochastic Cell-Automata Model,” provided at the Artificial Intelligence– Based Solutions for Traffic Modeling and Control.
(* 3)Session ID: PS31 Transportation Systems: Traffic Management and Operations, Next-Generation Traffic Management Approaches Title: TSE (Traffic State Estimation) in Congestion to Extend the Applicability of DFOS

About NEC Corporation

The NEC Group leverages innovation to develop social worth and promote a more sustainable world where everybody has the opportunity to reach their complete capacity. NEC Corporation was developed in 1899. Today, the NEC Group’s roughly 110,000 workers use world-leading AI, security, and interactions innovations to resolve the most important requirements of clients and society. For more details, please go to https://www.nec.com, and follow us on Instagram, Facebook, and LinkedIn.

Subject: Press release summary