A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Exploring the impact of connected and autonomous vehicles on freeway capacity using a revised Intelligent Driver Model
Connected and autonomous vehicle (CAV) technologies are expected to change driving/vehicle behavior on freeways. This study investigates the impact of CAVs on freeway capacity using a microsimulation tool. A four-lane basic freeway segment is selected as the case study through the Caltrans Performance Measurement System (PeMS). To obtain valid results, various driving behavior parameters are calibrated to the real traffic conditions for human-driven vehicles. In particular, the calibration is conducted using genetic algorithm. A revised Intelligent Driver Model (IDM) is developed and used as the car-following model for CAVs. The simulation is conducted on the basic freeway segment under different penetration rates of CAVs and different freeway speed limits. The results show that with an increase in the market penetration rate, freeway capacity increases, and will increase significantly as the speed limit increases.
Exploring the impact of connected and autonomous vehicles on freeway capacity using a revised Intelligent Driver Model
Connected and autonomous vehicle (CAV) technologies are expected to change driving/vehicle behavior on freeways. This study investigates the impact of CAVs on freeway capacity using a microsimulation tool. A four-lane basic freeway segment is selected as the case study through the Caltrans Performance Measurement System (PeMS). To obtain valid results, various driving behavior parameters are calibrated to the real traffic conditions for human-driven vehicles. In particular, the calibration is conducted using genetic algorithm. A revised Intelligent Driver Model (IDM) is developed and used as the car-following model for CAVs. The simulation is conducted on the basic freeway segment under different penetration rates of CAVs and different freeway speed limits. The results show that with an increase in the market penetration rate, freeway capacity increases, and will increase significantly as the speed limit increases.
Exploring the impact of connected and autonomous vehicles on freeway capacity using a revised Intelligent Driver Model
Liu, Pengfei (author) / Fan, Wei (David) (author)
Transportation Planning and Technology ; 43 ; 279-292
2020-04-02
14 pages
Article (Journal)
Electronic Resource
English
The Impact of Connected Vehicles on Freeway Travel Time
| TIBKAT | 2020
Driver Population Factors in Freeway Capacity
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A revised procedure for the capacity analysis of basic freeway sections
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