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Macroscopic Pricing Schemes for Pool Ride-Hailing in Bus Lanes


Core Concepts
Efficient pricing schemes for pool ride-hailing in bus lanes optimize multi-modal transportation networks.
Abstract
The article discusses the impact of ride-hailing services on transportation networks and proposes a pricing scheme for pool ride-hailing in bus lanes. It analyzes system optimum and user equilibrium scenarios, highlighting the importance of efficient space allocation strategies. The study utilizes macroscopic fundamental diagrams to model traffic flow dynamics and presents numerical examples to illustrate the effectiveness of the proposed approach. Introduction Ride-hailing services' impact on transportation networks. Challenges and benefits of ride-splitting. Modeling Approach Use of Macroscopic Fundamental Diagrams (MFDs) for aggregate traffic analysis. Application of MFD modeling in urban transportation scenarios. Efficiency Analysis System optimum vs. user equilibrium evaluation. Conditions for optimal space allocation strategies. Tolling Scheme Proposal for tolling to bridge gaps between system optimum and user equilibrium solutions. Numerical Examples Comparison of delays under different network configurations. Illustration of efficiency through PHT values.
Stats
"xpv = 80000, xrs = 35000, xb = 100000 pax/hr" "op > 1, ∆p > 1, ∆b > 1" "fb < xb"
Quotes
"Ride-splitting can mitigate negative impacts on traffic conditions." "Macroscopic Fundamental Diagrams provide accurate estimates of traffic measures."

Deeper Inquiries

How can the proposed pricing scheme be implemented practically

The proposed pricing scheme can be practically implemented by integrating it into the existing ride-hailing platforms. Ride-hailing companies can introduce a variable toll for pool ride-hailing users utilizing bus lanes based on the current demand and network conditions. This toll can be dynamically adjusted to incentivize or deter pooling in bus lanes, depending on the system's optimum solution compared to user equilibrium. The implementation would require collaboration between transportation authorities, ride-hailing companies, and possibly regulatory bodies to ensure smooth execution.

What are the potential implications of allowing pool ride-hailing vehicles in bus lanes on overall traffic congestion

Allowing pool ride-hailing vehicles in bus lanes could have significant implications on overall traffic congestion. On one hand, it may lead to more efficient utilization of road space by reducing the number of idle vehicles and optimizing occupancy rates through pooling. This could potentially decrease congestion levels in general-purpose lanes as well as improve travel times for both private vehicle users and public transport buses. However, there are also potential drawbacks to consider. Allowing pool ride-hailing vehicles in bus lanes might increase competition for limited road space with buses, affecting their reliability and efficiency. Additionally, if not managed properly, this strategy could lead to increased conflicts between different modes of transportation sharing the same infrastructure. Overall, careful planning and monitoring would be essential to assess the impact on traffic flow patterns comprehensively before implementing such a policy at scale.

How might advancements in autonomous vehicles influence the effectiveness of the proposed space allocation strategy

Advancements in autonomous vehicles could significantly influence the effectiveness of the proposed space allocation strategy involving pool ride-hailing vehicles in bus lanes. Autonomous technology has the potential to enhance coordination between different modes of transportation within shared networks by enabling smoother interactions and optimized routing decisions. Autonomous vehicles can contribute towards improving lane discipline among various types of traffic participants including buses and pooled ride-hailing services. They can facilitate real-time communication between vehicles leading to better coordination when accessing dedicated bus lanes while ensuring safety standards are met. Moreover, autonomous technology may enable more precise control over vehicle movements within designated spaces like bus lanes which is crucial for accommodating diverse mobility options efficiently without compromising operational performance or safety considerations. In essence, advancements in autonomous vehicles offer opportunities for enhancing the functionality and efficacy of complex multi-modal transportation systems like those involving pooled ride-hailing services operating alongside traditional public transit networks.
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