Abstract
Connected vehicles give more precise and detailed information on vehicle movements, thus can be beneficial to provide priority to public transportation. This paper proposes a transit signal priority algorithm using connected vehicle information for multimodal traffic control. The algorithm can also be adapted to scenarios with near-side or far-side bus stops. Moreover, it can minimize either signal delay or schedule delay for buses while minimizing additional car delays. Simulation is conducted for different volume to capacity ratios, bus arrivals, bus occupancies, and penetration rates. Results show that this algorithm successfully reduces the total passenger delay. It is also shown that this algorithm is not sensitive to the assumed bus passenger occupancy, nor the estimation of bus dwell time, hence does not require accurate information on these parameters. Overall, this algorithm seems rather promising as it significantly reduces the delay of buses with minimal increase to the delay of cars in the conflicting approach.
Original language | English (US) |
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Pages (from-to) | 423-445 |
Number of pages | 23 |
Journal | Transportmetrica B |
Volume | 7 |
Issue number | 1 |
DOIs | |
State | Published - Dec 23 2019 |
Keywords
- Transit signal priority
- connected vehicle technology
- intersection signal optimization
- multimodal traffic control
- traffic flow
ASJC Scopus subject areas
- Software
- Modeling and Simulation
- Transportation