Effect of curbside bus stops on passenger car units and capacity in disordered traffic using simulation model

Raj, Pooja; Asaithambi, Gowri; Shankar, A. U. Ravi

doi:10.1080/19427867.2020.1815145

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…At present, research focused on the traffic conditions in entrances and exits of the off-street parking is still very rare. Previous research mainly focuses on the complex impact of the bus stop [9][10][11][12][13][14] and on-street parking [15][16][17][18] on the traffic flow. Compared with other road facilities, the settings of entrances and exits of parking facilities can bring more complicated impact: on the one hand, due to the uncertainty of the occurrence and attraction of parking facilities, the temporal and spatial distribution of parked vehicles are more disorderly; the intermittently concentrated entering and departing of vehicles enhance the occasional disturbance to the road; on the other hand, the interwoven flow of incoming and outgoing vehicles, the traffic flow of the main road, and the flow of motor vehicles and nonmotorized vehicles [19] increase the heterogeneity of the traffic flow and the complexity of the occurrence of congestion in this area to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Research on the Evolution Mechanism of Congestion in the Entrances and Exits of Parking Facilities Based on the Improved Spatial Autoregressive Model

Deng

et al. 2021

Journal of Advanced Transportation

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The entrance and exit area of parking facilities has the characteristics of high concentration of urban traffic and prominent traffic intertwining phenomenon, which easily induces rapid congestion of mixed heterogeneous traffic at specific times and local locations and quickly spreads to the entire road section or even a larger area. In order to better understand the congestion distribution characteristics and propagation effects of access section of the parking entrance and exit from the mid and microperspective, a 5 m ∗ lane width pixel grid is used to divide the frontage road research. It also proposes a spatially robust autoregressive model and complex network tools suitable for analysis of local traffic flow to analyze it. The results show that as spatial scale increases, the congestion propagation decreases sharply and spatial adjacency within the fourth order can account for more than 90% of the propagation; the frontage road to the entrance and exit is the place where the congestion first happens, and the congestion gradually attenuates as it propagates to the inner lane and the upstream of the road segments; the lateral congestion propagation attenuates faster, so the area affected by congestion is mainly distributed in the outermost lane. This paper can provide theoretical guidance for alleviating traffic congestion in the entrance and exit areas of parking facilities and has theoretical and empirical significance.

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Section: Introductionmentioning

confidence: 99%

Research on the Evolution Mechanism of Congestion in the Entrances and Exits of Parking Facilities Based on the Improved Spatial Autoregressive Model

Deng

et al. 2021

Journal of Advanced Transportation

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Congestion-Aware Bi-Modal Delivery Systems Utilizing Drones

Beliaev

Mehr

Pedarsani

2023

Future Transportation

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With e-commerce demand rising, logistic operators are investing in alternative delivery methods such as drones. Because of their aerial reach, drones can provide much needed utility in the last mile by taking the load off of vehicles delivering parcels to customers on the road. Our goal is to assess the potential drones have in mitigating traffic congestion. To do so, we develop a mathematical model for a bi-modal delivery system composed of parcels carrying trucks and drones, combining it with an optimization problem that can be solved for the socially optimal routing and allocation policy efficiently. Within this formulation, we include multiple stakeholder perspectives by modeling the objective function in terms of both traffic congestion and parcel latency. This allows our model to quantify the impact of drones on reducing traffic congestion, and simultaneously finds the path routing that minimizes the given objective. To account for the effects of stopping trucks on road latency, we simulate roads shared between trucks and cars by utilizing SUMO. We then use quadratic optimization techniques to test our proposed framework on a variety of real-world transportation networks. Our findings highlight the trade-off between reducing traffic congestion and increasing parcel latency—while routing trucks along less time-efficient paths may alleviate traffic congestion, this disproportionately increases the parcel latency. This suggests the need for a balanced approach that considers both factors when solving for the routing policy.

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Effect of curbside bus stops on passenger car units and capacity in disordered traffic using simulation model

Cited by 2 publications

References 32 publications

Research on the Evolution Mechanism of Congestion in the Entrances and Exits of Parking Facilities Based on the Improved Spatial Autoregressive Model

Research on the Evolution Mechanism of Congestion in the Entrances and Exits of Parking Facilities Based on the Improved Spatial Autoregressive Model

Congestion-Aware Bi-Modal Delivery Systems Utilizing Drones

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