Case–Based Reasoning for Assessing Intelligent Transportation Systems Benefits

Sadek, Adel W.; Morse, Spencer; Ivan, John N.; ElDessouki, Wael

doi:10.1111/1467-8667.00308

Cited by 13 publications

(11 citation statements)

References 20 publications

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“…An interesting observation from Table 3 is that changes in the percentage of reduction in incident duration resulted in modest (but not as large as one would expect) changes in the benefit-cost ratio. Ide- ally, the benefits of incident management systems should be evaluated with a Dynamic Traffic Assignment (DTA) model that is capable of modeling time-varying supply and demand conditions (5). In the absence of a DTA model, improvement in travel-time reliability is probably the best performance measure left for approximating the benefits of such systems.…”

Section: Sensitivity Analysis Of I-89 Atms Project Resultsmentioning

confidence: 99%

Cost-Effectiveness of Intelligent Transportation System (ITS) Deployment in a Medium-Sized Area: Case Study with ITS Deployment Analysis System

Sadek

Baah

2003

Transportation Research Record: Journal of the Transportation R

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To help transportation planners, the Federal Highway Administration (FHWA) has recently sponsored the development of a sketch planning analysis tool for estimating the benefits and costs of intelligence transportation system (ITS) deployment. Called the ITS Deployment Analysis System (IDAS), the tool was developed by Cambridge Systematics for FHWA and operates as a postprocessor to traditional planning models that are based on the four-step planning process. IDAS was used to predict the likely benefits of deploying ITS in Chittenden County, Vermont, a medium-sized region in northwestern Vermont, to gain insight into IDAS’ applicability in evaluating ITS benefits. A sensitivity analysis was also conducted to assess the sensitivity of IDAS’ results to the choice of values of some of the model’s parameters. The sensitivity analysis demonstrates that some of the model’s parameters tend to have a more significant impact on the results than others. Finally, the results indicate that, for medium-sized areas similar to Chittenden County, coordination of signals along major arterials and transit projects for automatic vehicle location and scheduling appear to be more cost-effective than freeway and incident management systems.

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Section: Sensitivity Analysis Of I-89 Atms Project Resultsmentioning

confidence: 99%

Cost-Effectiveness of Intelligent Transportation System (ITS) Deployment in a Medium-Sized Area: Case Study with ITS Deployment Analysis System

Sadek

Baah

2003

Transportation Research Record: Journal of the Transportation R

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“…The models’ reliability is checked by comparing simulation outputs with observed field data at each loop station along the freeway corridor and ramps. Our simulation model was calibrated following a similar approach introduced in Gomes et al (2004), Sarvi et al (2004), and Zhang et al (2009). The traffic inputs, routing decisions, and driver behavior parameters are adjusted to minimize the difference between simulation outputs and ground‐truth data.…”

Section: Experimental Tests and Discussionmentioning

confidence: 99%

“…They are designated for improving freeway system conditions through properly regulating traffic inflows from on-ramps to freeway mainstreams. Since the ramp metering concept was initially introduced in the 1960s, many ramp metering systems have been deployed worldwide and proven to be effective for freeway congestion management (Bogenberger and May, 1999;Sadek et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Optimizing Coordinated Ramp Metering: A Preemptive Hierarchical Control Approach

Zhang

Wang

2012

Computer aided Civil Eng

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This article describes a coordinated ramp metering algorithm for systematically mitigating freeway congestion. A preemptive hierarchical control scheme with a three‐priority‐layer structure is employed in this algorithm. Ramp metering is formulated as a multiobjective optimization problem to enhance system performance. These optimization objectives include promptly tackling freeway congestion, sufficiently utilizing on‐ramp storage capacities, and preventing on‐ramp vehicles from overflowing to local streets, balancing on‐ramp vehicle equity, and maximizing traffic throughputs for the entire system. Instead of relying heavily on accurate estimates of freeway traffic flow evolvement, this new approach models ramp meter control as a linear program and uses real‐time traffic sensor measurements for minimizing the indeterminate impacts from the mainstream flow capacities. VISSIM‐based simulation experiments are performed to examine its practicality and effectiveness using geometric and traffic demand data from one real‐world freeway segment. The simulation test results show that the proposed ramp metering approach performed well in optimizing overall freeway system operations under various traffic conditions. The system‐wide optimal control performance can be achieved to quickly mitigate freeway congestion, prevent traffic from overflowing to local streets, and maximize overall traffic throughputs. The proposed ramp metering approach can dynamically assemble relevant ramp meters to work together and effectively coordinate the individual meter rates to leverage their response strengths for minimizing time to clear the congestion. This study demonstrates that utilization of existing freeway infrastructure can be optimized through the proposed algorithm.

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“…CBR has extensive application in assessing intelligent transportation system (ITS) benefits, traffic pattern recognition, decision support, and traffic emergency management. [2][3][4][5][6][7][8] Road accident emergency management strategies, consisting of traffic control, road wrecker, and emergency rescue, are always made based on different accident features, such as road accident time, accident location, and accident type. It is feasible to use CBR approach for making road accident management measures from previous case which has similar accident features as the input one.…”

Section: Introductionmentioning

confidence: 99%

Optimal road accident case retrieval algorithm based on k-nearest neighbor

Dong

2019

Advances in Mechanical Engineering

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An optimal algorithm which can help traffic managers to make more accurate decisions from previous road accident case knowledge has been proposed. The algorithm based on k-nearest neighbor determines weight value of each accident case feature based on information entropy index, establishes a road accident case retrieval base using two-step cluster algorithm, and proposes a global similarity model of road accident cases. Then, a new comprehensive evaluation index called matching degree is presented. And then, a prototype system is developed to conduct case retrieval experiments to verify the performance of the proposed algorithm for road accident case retrieval. The result of the experiments clearly demonstrates the effectiveness of this case retrieval algorithm for road accident management in real time.

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Case–Based Reasoning for Assessing Intelligent Transportation Systems Benefits

Cited by 13 publications

References 20 publications

Cost-Effectiveness of Intelligent Transportation System (ITS) Deployment in a Medium-Sized Area: Case Study with ITS Deployment Analysis System

Cost-Effectiveness of Intelligent Transportation System (ITS) Deployment in a Medium-Sized Area: Case Study with ITS Deployment Analysis System

Optimizing Coordinated Ramp Metering: A Preemptive Hierarchical Control Approach

Optimal road accident case retrieval algorithm based on k-nearest neighbor

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