A modelling technique for assessing linked MOVA

Abstract

This paper introduces an innovative approach to evaluating the benefits of linked MOVA (Microprocessor Optimised Vehicle Actuation) using a micro-simulation modelling and programming technique. The implementation of linked MOVA at signal-controlled junctions has been found to provide more efficient junction operations by either maximising capacity or minimising delay, depending on the level of congestion. Although vehicle actuation (VA) modelling is commonly available (i.e. bus gating, standalone MOVA and SCOOT), there has been no method for assessing the operational benefits and signal settings of linked MOVA implementation. Using the programming ability within the VISSIM micro-simulation software suite, a precise assessment of the benefits of linked MOVA type VA was undertaken. The signal settings, operational parameters and ‘linking’ of the signal control junctions were set as part of the MOVA implementation in evaluating the operational benefits. A post-implementation evaluation study is presented in which modelled operations replicated the actual operations in line with modelling standards. The model is calibrated and validated using post-MOVA implementation surveys. The results proved a significant operational benefit. On average, delay savings of 19·7% were achieved by the implementation, together with a significant reduction in total stopped delay and number of stops. Although traffic demand remained constant for pre- and post-linked MOVA operations, a 0·5% increase in throughput was observed. Modelling proved an effective method in assessing linked MOVA operations. This technique is now available to linked MOVA users, and can be adapted to other VA-type signal operations in evaluating the coordinated operations, benefits and settings before expensive implementation is undertaken.

Integrating Data Mining and Microsimulation Modelling to Reduce Traffic Congestion: A Case Study of Signalized Intersections in Dhaka, Bangladesh

“…In contrast to SCOOT, MOVA optimizes the signal time cycle based on vehicle flow approaching a single junction. The MOVA process does not account for multiple junctions or the traffic moving between consecutive junctions [37]. MOVA is less resource intensive, works significantly better for high traffic flow, and is focused on increasing junction capacity.…”

“…MOVA is less resource intensive, works significantly better for high traffic flow, and is focused on increasing junction capacity. Therefore, MOVA systems can be utilized independently in several junctions in a city instead of a city-wide SCOOT system [37,38]. Several modelling software programs are available for MOVA systems.…”

Integrated traffic management: benefit analysis of three layered approach

“…4 b illustrates the MOVA optimisation algorithm in the VAP, the MOVA model has a capacity maximisation algorithm that the MOVA uses during the oversaturated conditions. However, in these circumstances, the MOVA model does not perform a full delay minimisation calculation because the improvements in the optimisation achieved by predicting into the next green stage during the saturated conditions are negligible [27–29]. Since all the approaches to the particular junction being studied would in practice be heavily trafficked during the peak periods, this is not considered to be a consideration worthy of inclusion, although if applied it probably would reduce the overall modelled benefits by a small amount.…”