Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

Petit, Antoine; Yildirimoḡlu, Mehmet; Geroliminis, Nikolas; Ouyang, Yanfeng

doi:10.1016/j.trc.2021.103187

Cited by 16 publications

(6 citation statements)

References 49 publications

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“…Some studies have concentrated on FB-system design and optimization [9,[29][30][31]. Given the fixed FB lines and travel demands, Cao et al [32] investigated the passengerassignment problem for FB networks.…”

Section: Flexible-bus Network Designmentioning

confidence: 99%

Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering

et al. 2023

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Providing direct and affordable transit services for travelers is the goal of the evolving flexible-bus (FB) system. In this study, we design an FB system with an ad-hoc service, to supplement traditional public transit and provide a better FB service. We first build up a mathematical model to optimize bus-stop sites, routes, and schedules, where the unmet travel demand is served by an ad-hoc service with relatively high cost. Then, we cluster travel demand spatially and temporarily, using the ST-DBSCAN algorithm. We use the simulated-annealing algorithm, which has better convergence and diversity than other heuristic algorithms, to solve the suggested model in large-scale networks. To demonstrate the effectiveness of the proposed model, we run experiments on a small network and a large real-world network of Shenzhen airport, which shows that the FB system with ad-hoc service can reduce overall cost and improve social welfare, compared to taxies and FB only. In addition, it provides affordable transit services with shorter walking distances and lower waiting times, which can be deployed in airports or high-speed railway stations with massive, irregular travel demands.

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Section: Flexible-bus Network Designmentioning

confidence: 99%

Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering

et al. 2023

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“…Congestion at signalized intersections poses significant challenges to urban transportation systems, and ensuring bus priority has emerged as a crucial strategy to mitigate congestion [1][2][3]. One commonly adopted approach is the implementation of a Bus Priority Lane (BPL), which provides exclusive right-of-way for buses, enabling them to bypass general traffic and improve traffic sustainability and efficiency [4,5].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Right-of-Way Allocation on Bus Priority Lane considering Traffic System Resilience

Hu,

Lian,

Sun

et al. 2024

Preprint

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Ensuring bus priority is to improve traffic sustainability at the signalized intersection. To achieve this, the Bus Priority Lane (BPL) is adopted to provide exclusive right-of-way for buses. However, the BPL is underutilization if the frequency of buses is low. To address this issue, many studies focus on improving the BPL’s utilization efficiency by intermittently allowing general vehicles to access it. However, these studies still have some shortcomings: i) bus priority cannot be guaranteed if general vehicles run on the BPL; ii) the traffic system lacks resilience, especially when the traffic demand is unbalanced. This paper proposes a dynamic right-of-way allocation on the BPL considering traffic system resilience. On the one hand, it ensures absolute bus priority by controlling Connected Automated Vehicles (CAVs) to not interfere with buses. On the other hand, it can improve traffic system resilience by allocating right-of-way for CAVs with heavy turning-movement demand. To validate the effectiveness, the proposed control strategy is evaluated against the non-control baseline. Sensitivity analysis is conducted under seven unbalanced traffic demand levels, four congestion levels, and five CAV Penetration Rates. The results show that the proposed control strategy can ensure absolute bus priority and improve traffic efficiency and traffic system resilience.

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“…Numerous scholars have researched the layout methods and effectiveness evaluations of bus lanes. Overall, research results can be divided into two categories: micro-simulation evaluations [6][7][8][9] and macro network setting optimizations [10][11][12][13][14][15][16][17]. The former mainly uses simulation tools to evaluate the effectiveness of bus lane setting schemes; the latter often uses a bi-level programming model to determine the optimal layout of bus lanes.…”

Section: Introductionmentioning

confidence: 99%

“…Various scenarios were modeled to determine the traffic volumes and bus service frequencies for which such a bus lane concept would be effective. Various scholars [16][17][18] have combined the setting of bus lane networks with dynamic traffic congestion. Bagloee et al [16] researched transit priority lanes in congested road networks.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Bus Lane Layouts Based on a Bi-Level Programming Model—Using Part of the Qingshan Lake District of Nanchang City, China, as an Example

et al. 2023

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Bus lanes have gradually become an indispensable infrastructure for the development of urban public transportation networks. A bi-level programming model is used herein to compare the total travel time of social vehicles and buses before and after the bus lane is set up to judge whether the bus lane layout plan is scientific and reasonable considering the road network. The model’s effectiveness is verified using areas of Qingshan Lake in Nanchang City, and the operational efficiency of one bus lane before and after establishing the dedicated bus lane is analyzed. The case results show that the bus lane layout evaluation needs to consider the traffic benefits of a specific road and also judge whether the total travel time of the network traffic volume is improved from the macroscopic road network level. The research results provide theoretical support for the rational layout of bus lanes and are of practical significance for prioritizing the development of public transportation and promoting the sustainable development of urban transportation.

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Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

Cited by 16 publications

References 49 publications

Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering

Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering

Dynamic Right-of-Way Allocation on Bus Priority Lane considering Traffic System Resilience

Evaluation of Bus Lane Layouts Based on a Bi-Level Programming Model—Using Part of the Qingshan Lake District of Nanchang City, China, as an Example

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