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Externality is one of the important issues in the field of transportation economics research. With the development of intelligent connected vehicles, the efficiency of public transportation continues to improve. But congestion problems cannot be completely avoided, and congestion delays increase travel costs. How to accurately calculate the delay time of vehicles and effectively quantify the economic value of delay time is one of the important issues that need to be solved in the future development process of intelligent transportation systems. In order to effectively quantify the external costs of traffic congestion in the context of intelligent networking, this paper proposes a method for calculating the value of delay of intelligent connected passenger vehicles based on vehicle road collaboration data. By comparing the difference between the time when intelligent connected passenger vehicles pass through the starting and ending points of the road link at actual speed and the time when they travel at the speed limit of the road link, the delay time can be calculated based on the number of passengers carried by the passenger vehicle. The unit time price factor is calculated based on the annual per capita GDP of the region, and then the value of delay of intelligent connected passenger vehicles operation is solved. Finally, an example analysis was conducted on the road network of X city, and it was found that the average daily delay value generated by intelligent connected passenger vehicles passing through the road network was ¥28453, and the average congestion delay value generated per kilometer per hour was ¥6.23, thus verifying the rationality of the calculation method. This method provides a reference for formulating road congestion pricing strategies in the context of intelligent networking.
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