Research on Mixed User Equilibrium Model Based on Mobile Internet Traffic Information Service

Xinqiang Chen,Jie Yuan,Jiansen Zhao,Qiang Luo,Wenhui Zhang,Junheng Yang

doi:10.1109/access.2019.2952600

Xinqiang Chen, Jie Yuan + Show 4 more

Open Access

https://doi.org/10.1109/access.2019.2952600

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Abstract

Previous studies established traffic demand equilibrium with an assumption that all the traffic information on road is easily accessed by the in-need traffic participants, which is not true in the real applications (due to data collections difficulty). The newly emerging smart portable devices (e.g., smart phones) generate massive on-site traffic data (speed, density, etc.), which stimulates us re-consider designing the traffic demand equilibrium. For the purpose of analyzing mobile internet service influence on traffic demand, we build up a Probit-based model with consideration of multiple traffic constraints (i.e., traveler type, actual travelling time, perceiving travelling time). The Monte Carlo method is introduced to simulating initial route selection probability distributions, and the Method of Successive Averages (MSA) is developed to help the Monte Carlo algorithm converge at optimal solution. We have implemented our model on typical traffic travelling scenario with very complex traffic network demands. The experimental results suggested that larger mobility service coverage can significantly reduce the overall traffic time in the free flow state, and the mobility service coverage rate ranging from 0.6 to 0.8 is supposed to provide minimum travelling time for the overall traffic network, while larger coverage rate at congested state may reduce the traffic network efficiency.

Highlights

INTRODUCTION wardrop developed the conventional traffic network equilibrium, which assumes that all travelers can access the holistic roadway traffic information and select the most cost-effective corridor, which results in the traffic network evolves into demand-supply balance state [1]
Different from conventional in-vehicle information system (IVIS) service, the advanced traveler information services (ATIS) information can be transmitted by vehicle-borne facility, cell phones, variable message signs, roadside and roadway-installed sensors, etc
In this work, the characteristics of mixed user stochastic equilibrium distribution based on mobile internet traffic information service are studied with the changes of the information service permeability and demand levels

Summary

MATHEMATICAL MODEL

We have studied the mobile internet service interfered traffic demand distribution (i.e., route selection problem) with a Probit model, which is considered as dependent multiple normal distributions (due to varied available mobility service data) and very difficult to solve. This study uses the Monte Carlo simulation method to obtain the path selection probability, and uses the Method of Successive Averages (MSA) to calculate the new iteration state, and repeats until the result meets the requirement or exceeds the maximum number of iterations [26]. A. MONTE CARLO ALGORITHM FLOW Monte Carlo methodology: for the different paths k between the w of the same O-D pairs, sampling is carried out from the stochastic distribution that satisfies the requirements as the generalised travel time perception error of the path, from which the generalised travel cost of each path is obtained. (4) With the covariance matrix generated in Step 2, a set of multiple normal distribution random numbers is generated as the path travelling time perceptual deviation, and the.

MSA ALGORITHM FLOW

NUMERICAL TEST

ANALYSIS OF RESULTS

CONCLUSION