Understand the traffic.
Before it arrives.

Bhiwandi Logistics Park

A simulation-led study of peak-hour vehicle movement, entrance queues and truck manoeuvring for an industrial and logistics park.

CustomerArchitects United

Project locationBhiwandi, Maharashtra

ServicesTraffic Simulation · Swept Path Analysis · Autodesk InfraWorks

By ECOMES · Customer case study

Autodesk InfraWorks traffic simulation showing vehicles and entrance lanes at the Bhiwandi logistics park — Bhiwandi Logistics Park · Traffic simulation

01 / The challenge

The project context.

Architects United was working on an industrial and logistics park at Bhiwandi, with high vehicle movement expected due to e-commerce warehousing, staff movement, parking activity, and heavy vehicle operations.

The project required a clear understanding of traffic flow at the park entrance and internal lanes, especially during peak-hour conditions.

The site involved multiple movement zones, including the ESR Park, park entrance, parking area, and Amazon warehouse, creating complex origin-destination traffic movements.

There was a need to assess whether the proposed road and entrance configuration could handle peak-hour traffic without excessive congestion.

Heavy vehicles, buses, cars, two-wheelers, and cycles had to be considered using appropriate PCU factors and vehicle movement assumptions.

The project also required swept path validation for truck manoeuvring inside the park to ensure safe and practical vehicle movement.

Boom gate delays had to be evaluated because entry control could create queuing and congestion at the park entrance.

02 / Objectives

What the team needed.

To simulate peak-hour traffic conditions within the industrial and logistics park using Autodesk InfraWorks.
To analyse vehicle flow, traffic density, and lane movement around the project entrance.
To create a zone-based traffic movement model covering four key zones: ESR Park, park entrance, parking, and Amazon warehouse.
To calculate PCU-based traffic demand using vehicle mix, operating-hour assumptions, and applicable traffic standards.
To perform swept path analysis for truck movement within the park.
To assess the impact of boom gate delays on queue length, congestion, and entry-lane performance.
To provide the design and planning team with visual, data-backed insights for traffic planning and operational decision-making.

03 / Our approach

How ECOMES supported the project.

ECOMES carried out traffic simulation for the proposed industrial and logistics park using Autodesk InfraWorks.
The study considered 16-hour park operations, with two 8-hour shifts and truck traffic spread across the operating period.
Peak-hour assumptions were applied, with 80% of car, scooter, and cycle traffic considered during two-hour peak windows.
A 30 km/hr internal speed limit was applied within the park for simulation purposes.
Four traffic zones were created around the project entrance to simulate origin-destination movement:
Zone 1: ESR Park
Zone 2: Park Entrance
Zone 3: Parking
Zone 4: Amazon Warehouse
ECOMES calculated PCU values using vehicle count, PCU factors, and operating-hour assumptions.
Vehicle categories considered included two-wheelers, four-wheelers, buses, trucks/heavy vehicles, and cycles.
The park-level PCU calculation indicated a total of approximately 513 PCU/hr, while the e-commerce warehouse-specific calculation indicated approximately 279 PCU/hr.
Vehicle specifications were considered for bus, car, and semi-trailer movement, including vehicle length, width, height, ground clearance, turning radius, and wheel angle.
Swept path analysis was carried out for truck manoeuvring within the park to validate turning movements and internal circulation.
Boom gate delay scenarios were modelled, including 60-second delay for key entry lanes and 30-second delay for other facility entry lanes.
Autodesk InfraWorks traffic simulation outputs were used to visually assess congestion, queue formation, and operational constraints.

04 / Delivery stage

When the work was delivered.

The study was carried out during the planning and design validation stage of the industrial and logistics park.

ECOMES’ scope covered traffic input assessment, PCU calculation, InfraWorks simulation setup, zone-based movement analysis, swept path analysis, boom gate delay modelling, and conclusion reporting.

The simulation was structured to help the design team evaluate traffic behaviour before finalising operational and infrastructure planning decisions.

Simulation findings

Making entrance constraints visible.

Results from the modelled peak-hour and boom-gate scenarios.

145 sec

Approximate average peak-hour delay

177 m

Estimated entrance queue length

513 PCU/hr

Approximate park-level traffic demand input

05 / Outcomes

What the study enabled.

The traffic simulation provided clear visibility into peak-hour movement conditions at the logistics park.
The analysis confirmed traffic congestion on lanes entering the park during peak-hour conditions.
Boom gate delay assessment showed an average delay of approximately 145 seconds during peak hours.
Queue length at the entrance lanes was estimated at approximately 177 metres.
The study helped the project team understand the impact of entry-control delays on traffic build-up and lane congestion.
Swept path analysis helped validate truck manoeuvring and internal vehicle circulation within the park.
PCU-based calculations gave the design team a quantitative basis for evaluating traffic demand and lane performance.
Autodesk InfraWorks enabled a visual and simulation-based approach, allowing stakeholders to better understand operational constraints before execution.
The project demonstrated ECOMES’ capability to support logistics, industrial, and e-commerce warehousing projects through digital simulation, traffic analysis, and infrastructure planning support.

Project summary

Traffic planning through simulation.

ECOMES supported Architects United with a digital traffic simulation and swept path analysis study for an industrial and logistics park at Bhiwandi. Using Autodesk InfraWorks, ECOMES modelled peak-hour traffic movement, zone-wise vehicle flow, PCU-based traffic demand, boom gate delay scenarios, and truck manoeuvring. The study identified critical congestion at entry lanes, including an average boom gate delay of 145 seconds and queue length of 177 metres during peak hours, helping the design team make more informed planning and operational decisions.

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