Modelling, Simulation and Optimization using jupyter python and VISSIM software
Budget: ₹600 – ₹5,000 INR
The “Future Cities” Project investigates a “Self-Organising Motorway” as a possible approach to reduce congestion on motorways. Your task is to replicate aspects of this research using a simulation model implemented in SimPy v.4.
Your task is to investigate for suitable points along the motorway segment
• the traffic density k (the number of vehicles per km across all available lanes), and
• the mean speed of the vehicles u, and for the overall motorway segment
• the traffic volume q (i.e. the total number of vehicles passing per hour across all available lanes), and
• the average total travelling time. depending on certain input parameter:
• motorway speed limits settings (60km/h, 80km/h, 100km/h, and 120km/h),
• inter-arrival time distributions (directly influencing the traffic density), and
• traffic mix (percentage of heavy goods vehicles, electrical, autonomous cars)
Report the highest traffic volume the motorway segment can accommodate and articulate your recommendations regarding the setting of speed limits on the motorway segment
Your task is to investigate for suitable points along the motorway segment
• the traffic density k (the number of vehicles per km across all available lanes), and
• the mean speed of the vehicles u, and for the overall motorway segment
• the traffic volume q (i.e. the total number of vehicles passing per hour across all available lanes), and
• the average total travelling time. depending on certain input parameter:
• motorway speed limits settings (60km/h, 80km/h, 100km/h, and 120km/h),
• inter-arrival time distributions (directly influencing the traffic density), and
• traffic mix (percentage of heavy goods vehicles, electrical, autonomous cars)
Report the highest traffic volume the motorway segment can accommodate and articulate your recommendations regarding the setting of speed limits on the motorway segment