Road network topology vulnerability analysis and application

2013 ◽  
Vol 166 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Yingfei Tu ◽  
Chao Yang ◽  
Xiaohong Chen
Keyword(s):  
Network Topology ◽  
Road Network ◽  
Vulnerability Analysis

scholarly journals An Intersection Importance Estimation Method Based on the Road Network Topology

2018 ◽  
Vol 12 (1) ◽  
pp. 239-249
Author(s):  
Ting Lu ◽  
Dan Zhao ◽  
Yanhong Yin
Keyword(s):  
Network Topology ◽  
Road Network ◽  
Estimation Method ◽  
Graph Connectivity ◽  
Estimation Model ◽  
Continuous Increase ◽  
Sorting Method ◽  
The Road ◽  
Path Distance ◽  
On The Road

Introduction: The expansion of road network and continuous increase of vehicle ownership challenge the performance of routine traffic control. It is necessary to make a balanced adjustment and control from the perspective of the road network to disperse the traffic flow on the entire road network. Methods: This paper develops a method to quantify the intersections’ importance at a global level based on the road network topology, which is the location of the intersection in the road network and the structural characteristics of the intersection decided by the traffic movement. The priority order in traffic signal coordination is the sorting results of intersection’s importance. The proposed method consists of two consecutive algorithms. Firstly, the graph connectivity of network is defined based on the shortest path distance and spatial connectivity between adjacent intersections. Secondly, The Importance Estimation Model (IEM) is built, which is the function of the importance indexes of current intersection and its neighboring intersections. A simulated case of a six by eight grid network was employed to evaluate the effectiveness of the proposed method in TRANSYT. Results and Conclusion: The results show that the Importance Estimation Model (IEM) minimized the measure of effectiveness compared with the schemes obtained by the volume sorting method, the saturation degree sorting method, and the method SMOO. It also created a higher frequency of small queues than the other methods.

scholarly journals Road Landscape Morphology of Valley City Blocks under the Concept of “Open Block”—Taking Lanzhou City as an Example

2019 ◽  
Vol 11 (22) ◽  
pp. 6258
Author(s):  
Zeng ◽  
Qian ◽  
Ren ◽  
Xu ◽  
Wei
Keyword(s):  
Network Topology ◽  
Road Network ◽  
Network Performance ◽  
Statistical Characteristics ◽  
Small Scale ◽  
Lanzhou City ◽  
Geographical Environment ◽  
Landscape Morphology ◽  
Positive Effect ◽  
Valley City

The unique valley geographical environment and the congestion-prone road landscape make valley city traffic jammed easily. In this paper, under the background of “open blocks”, two open patterns, which correspond to two different road landscapes ("ideal grid opening" and "open under realistic conditions"), are proposed. Taking Lanzhou city as an example, six basic statistical characteristics are used to compare and analyze the changes of road network topology in blocks to find out which open pattern is more suitable for valley cities. The results show that the pattern "open under realistic conditions" has a significant effect on the improvement of network performance and capacity. Specifically, breaking the "large blocks" and developing the small-scale blocks help to alleviate the traffic pressure. Besides, the opening of blocks located along river valley has a more positive effect on improving road network performance than the blocks sited in the inner area of cities.

Integrated Framework for Risk and Resilience Assessment of the Road Network under Inland Flooding

2019 ◽  
Vol 2673 (12) ◽  
pp. 182-190 ◽  
Author(s):  
Ning Zhang ◽  
Alice Alipour
Keyword(s):  
Risk Assessment ◽  
Risk Analysis ◽  
Road Network ◽  
Transportation Network ◽  
User Equilibrium ◽  
Vulnerability Analysis ◽  
Integrated Framework ◽  
The Road ◽  
Flooding Events ◽  
Resilience Assessment

A transportation network facilitates the connectivity of local residential areas, improves capability for movement of goods, and contributes to economic development. Recent flooding events in the U.S. have highlighted the vulnerability of our transportation network to such events. Flooding, a predominant destructive hazard, leads to significant direct damages to physical road infrastructures and also results in significant indirect losses to communities that rely on the road network. Decision-makers, designers and planners all must understand the risks associated with such events and make adequate preparations for them. This paper proposes a holistic framework for integrating flooding hazards with vulnerability analysis of transportation road infrastructures, topologic risk analysis, and flow-based risk assessment. Vulnerability analysis of infrastructures reveals the extent of closure on roads and bridges. Topologic risk analysis, based on graph theory, provides immediate information on network characteristics that could be linked to instantaneous connectivity measures. Flow-based risk assessment uses a user equilibrium model to compute traffic time for the entire network for assessment of user losses from increased traffic time. Finally, the developed framework can be used to assess risks for a segment of the primary road system in the state of Iowa when facing flooding events with return periods of 2, 50, 200 and 500 years. It is expected that this integrated framework and the network performance measures could inform future resilience assessment and enhancement strategies in the studied region and provide a framework for other states that might wish to adopt this approach.

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