Traffic Congestion Management

1. Definition and Governance Background

Traffic congestion management refers to the systematic effort of easing vehicular queueing and slow traffic flow caused by road demand exceeding infrastructure capacity through comprehensive measures such as engineering upgrades, traffic management optimisation, policy interventions, and technological applications. Urban gridlock has become one of the most pressing public concerns, compounded by issues such as poor multi-modal transport connectivity, parking supply-demand imbalances, and chronic bottlenecks across city centres. Amid the dual constraints of surging vehicle ownership and saturated urban space, the strategic focus is shifting from expanding road infrastructure via new builds to unlocking the potential of existing assets through precision management.

2. Main Governance Pathways

Boosting transit speed — Unblocking commuter corridor bottlenecks: Seamlessly integrate metropolitan, intercity, and urban transport networks; prioritise tapping surplus rail capacity to run intercity services, and introduce short-formation, high-frequency commuter rail operations; upgrade heavily congested expressway stretches and introduce well-spaced access ramps near urban fringes. For instance, the Capital Metropolitan Area is fast-tracking 6 core intercity commuter corridors, with the Beijing-Tianjin Intercity Railway already operating at metro-style frequencies.

Enhancing convenience — Seamless hub interchanges: Upgrade dedicated passenger concourses, feeder links, and interchange ramps to shorten transfer distances between rail transit, stage buses, and micro-mobility options like bike-sharing; integrate rail transit into qualified railway stations and airports; and optimise metropolitan freight hub layouts to balance employment and residential zones.

Regional integration — Diversifying commuter services: Encourage bespoke transport solutions such as on-demand shuttle services, customised bus routes, and dedicated corporate commuter coaches; optimise first-and-last-trip buses, short-loop shuttles, and night buses to cater to early-morning, late-night, and peak-hour commutes. Meanwhile, Shanghai is rolling out a three-year parking initiative, targeting a cumulative total of 10,000 new public parking bays and 200 off-peak shared car parks by end-2028.

Smart mobility — Data-driven proactive traffic management: Roll out digital and intelligent upgrades across ring expressways, key commuter arterial roads, and critical access junctions; methodically deploy smart parking guidance and automated parking systems; and accelerate AI adoption across transport networks. Shanghai has implemented a dynamic road traffic monitoring model capable of 24/7 real-time congestion analysis, accurately differentiating between routine gridlock and incidental bottlenecks.

3. Precision Traffic Engineering Measures

On the ground, targeted engineering micro-interventions and space-optimisation strategies have been deployed:

Governance Measure	Key Technical Points	Reference Effect
Tidal flow lane (Reversible lane)	Dynamically adjust lane directions based on morning and evening peak traffic flows; suitable for roads with directional traffic splits ≥ 65%	Activates idle opposing lane capacity and improves overall road throughput
Variable lane	Dynamically change lane directional assignments (straight/turning) via overhead LED gantries to match shifting turning traffic demands	Effectively eases turning bottleneck congestion at major junctions
Intersection waiting zone	Set up advance vehicle waiting areas within junctions to maximise vehicular discharge during green phases	Improves intersection capacity by ~4% and cuts queue lengths by 6%
Ramp metering	Regulate on-ramp flow using traffic signals to break merging vehicles into smaller platoons, safeguarding mainline traffic stability	Prevents disruptive merging shockwaves onto expressway mainlines
Indented bus bay (Lay-by)	Construct recessed kerbside bus stops so stopping buses clear active driving lanes	Minimises traffic obstruction and tailbacks caused by bus dwell times

In 2026, the Ministry of Transport rolled out the "Implementation Plan for 'Micro-Upgrades' on Congestion-Prone Expressway Sections", mandating tailored solutions under a "one-strategy-per-section, one-strategy-per-hotspot" principle, backed by traffic modelling and computer simulations to track efficacy and systematically resolve bottlenecks.

4. Comprehensive Traffic Management Trends

Tackling demand-side dynamics: With green mobility exceeding 70% in megacity core areas, transport policies continue to steer private vehicle users toward public transit and active mobility networks. Several cities have adopted a phased approach combining scheduled restrictions with gentle persuasion for non-standard electric three- and four-wheelers, achieving a smooth transition via a tiered "registration and advocacy — compliance pledge — legal enforcement" framework.

Inclusive, people-centric mobility: Alongside operational efficiency, traffic management actively addresses the needs of diverse commuter segments by enhancing barrier-free, senior-friendly routes, expanding "Home-School-Police" school zone safety warden programmes, and upgrading non-motorised vehicle lanes. Smart tech is also being leveraged to provide tailored mobility support for vulnerable groups such as the elderly and young children.

Deep technological integration: Cities like Guangzhou have achieved a simultaneous drop in road fatalities and traffic congestion indices via intelligent traffic command systems, alongside noticeable gains in peak-hour traffic speeds and emergency response efficiency. Expressway traffic management is progressively transitioning towards Vehicle-to-Everything (V2X) infrastructure, leveraging 5G and connected vehicle networks to deliver lane-level, personalised traffic guidance and dynamic speed control.